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Unity - How to create circular gradient?

I need a small help, I am trying to create an Island generator using Unity.
However I do not know how to make circular fall Off map.But instead I manage to create an island that is more of a box shaped island.
This is what I am doing:
I am generating Height map using Perlin noise
I will generate FallOff map and substract it from Perlin noise
The Island getsgenerated, but instead of having circular shape the
island hasbox-like shape
I want to create this
This is my Perlin noise function
public float[,] GenerateNoise(int mapSize,int octaves, string seed, float noiseScale, float persistence, float lacunarity, Vector2 offset)
{
if (noiseScale <= 0)
{
noiseScale = 0.0001f;
}
float halfWidth = mapSize / 2f;
float halfHeight = mapSize / 2f;
float[,] noiseMap = new float[mapSize + 1, mapSize + 1];
System.Random rand = new System.Random(seed.GetHashCode());
//Octaves offset
Vector2[] octavesOffset = new Vector2[octaves];
for (int i = 0; i < octaves; i++)
{
float offset_X = rand.Next(-100000, 100000) + offset.x;
float offset_Y = rand.Next(-100000, 100000) + offset.y;
octavesOffset[i] = new Vector2(offset_X / mapSize, offset_Y / mapSize);
}
for (int x = 0; x < mapSize; x++)
{
for (int y = 0; y < mapSize; y++)
{
float amplitude = 1;
float frequency = 1;
float noiseHeight = 0;
float superpositionCompensation = 0;
for (int i = 0; i < octaves; i++)
{
float sampleX = (x - halfWidth) / noiseScale * frequency + octavesOffset[i].x;
float sampleY = (y - halfHeight) / noiseScale * frequency + octavesOffset[i].y;
float perlinValue = Mathf.PerlinNoise(sampleX, sampleY);
noiseHeight += perlinValue * amplitude;
noiseHeight -= superpositionCompensation;
amplitude *= persistence;
frequency *= lacunarity;
superpositionCompensation = amplitude / 2;
}
noiseMap[x, y] = Mathf.Clamp01(noiseHeight);
}
}
return noiseMap;
}
And this is my FallOff map function
public float[,] GenerateFallOffMap(int mapSize)
{
float[,] fallOffMap = new float[mapSize , mapSize];
for (int x = 0; x < mapSize; x++)
{
for (int y = 0; y < mapSize; y++)
{
int index = x * mapSize + y;
float fallOff_A = x / (float)mapSize * 2 - 1;
float fallOff_B = y / (float)mapSize * 2 - 1;
float value = Mathf.Max(Mathf.Abs(fallOff_A), Mathf.Abs(fallOff_B));
fallOffMap[x,y] = Evaluate(value);
}
}
return fallOffMap;
}
static float Evaluate(float value)
{
float a = 3;
float b = 2.2f;
return Mathf.Pow(value, a) / (Mathf.Pow(value, a) + Mathf.Pow(b - b * value, a));
}

Use the distance from the center of the grid as the parameter to calculate the falloff value.
/// value - The calculated value to process
/// radius - The distance from center to calculate falloff distance
/// x - The x-coordinate of the value position
/// y - The y-coordinate of the value position
/// cx - The x-coordinate of the center position
/// cy - The y-coordinate of the center position
public float RadialFallOff(float value, float radius, int x, int y, float cx, float cy)
{
float dx = cx - x;
float dy = cy - y;
float distSqr = dx * dx + dy * dy;
float radSqr = radius * radius;
if (distSqr > radSqr) return 0f;
return value;
}
This will result in a hard cutoff at radius. If you want a softer transition along the edges, you can use an innerRadius and an outerRadius to produce a feathered effect:
/// value - The calculated value to process
/// innerRadius - The distance from center to start feathering
/// outerRadius - The distance from center to fully fall off
/// x - The x-coordinate of the value position
/// y - The y-coordinate of the value position
/// cx - The x-coordinate of the center position
/// cy - The y-coordinate of the center position
public float FeatheredRadialFallOff(float value, float innerRadius, float outerRadius, int x, int y, float cx, float cy)
{
float dx = cx - x;
float dy = cy - y;
float distSqr = dx * dx + dy * dy;
float iRadSqr = innerRadius * innerRadius;
float oRadSqr = outerRadius * outerRadius;
if (distSqr >= oRadSqr) return 0f;
if (distSqr <= iRadSqr) return value;
float dist = Mathf.Sqr(distSqr);
float t = Mathf.InverseLerp(innerRadius, outerRadius, dist);
// Use t with whatever easing you want here, or leave it as is for linear easing
return value * t;
}
You can use it like such:
float value = Mathf.Max(Mathf.Abs(fallOff_A), Mathf.Abs(fallOff_B));
value = Evaluate(value)
fallOffMap[x,y] = RadialFalloff(value, someRadius, x, y, mapSize / 2f, mapSize / 2f);
// or
fallOffMap[x,y] = FeatheredRadialFalloff(value, someInnerRadius, someOuterRadius, x, y, mapSize / 2f, mapSize / 2f);

Find Image Content and Draw Rectangle Around It

About
I’m using WinForms. In my form, I have a picturebox. The picturebox size mode is set to zoom. I use the picturebox to view TIF images. The TIF images are grayscale (Black and White ONLY).
What My App Does
My application finds the first black pixel and the last black pixel in the document and draws a red rectangle around it. In hopes that it would draw the rectangle around the content of the image.
The Problem
Sometimes the TIF documents have spots/dots around the content of the image. This throws my application off. It doesn't know where the content of the image begins and ends. How can I find the content of the TIF documents and draw a rectangle around it if the document has spots/dots?
About the Document
Black and white only (1 bit depth)
TIF document
Document always has letters and numbers
The letters and numbers are always bigger than the spots/dots
There can be multiple spots all over the image even in the content
The background is always white
The content is always black
The spots are also black
Download Test Image Links:
• File Dropper: http://www.filedropper.com/test-tifs
• Rapid Share: https://ufile.io/2qiir
What I Found
Upon my research, I found AForge.Imaging library which has many imaging filters that may potentially help me achieve my goal. I'm thinking about removing the spots/dots using the median filter or use the other filters to achieve the desired result.
What I Tried
I tried applying the median filter from AForge library to get rid of the spots but that only got rid of some of the spots. I had to repeat replying the filter multiple times to get rid of MOST of the spots to find the content and it still had a hard time finding the content. That method didn't work too well for me.
Link to AForge Filters: http://www.aforgenet.com/framework/docs/html/cdf93487-0659-e371-fed9-3b216efb6954.htm
Code
private void btn_Draw_Click(object sender, EventArgs e)
{
// Wrap the creation of the OpenFileDialog instance in a using statement,
// rather than manually calling the Dispose method to ensure proper disposal
using (OpenFileDialog dlg = new OpenFileDialog())
{
if (dlg.ShowDialog() == DialogResult.OK)
{
pictureBox1.Image = new Bitmap(dlg.FileName);
int xMax = pictureBox1.Image.Width;
int yMax = pictureBox1.Image.Height;
startX = Int32.MaxValue;
startY = Int32.MaxValue;
endX = Int32.MinValue;
endY = Int32.MinValue;
using (Bitmap bmp = new Bitmap(pictureBox1.Image))
{
for (var y = 0; y < yMax; y+=3)
{
for (var x = 0; x < xMax; x+=3)
{
Color col = bmp.GetPixel(x, y);
if(col.ToArgb() == Color.Black.ToArgb())
{
// Finds first black pixel
if (x < startX)
startX = x;
if(y < startY)
startY = y;
// Finds last black pixel
if (x > endX)
endX = x;
if (y > endY)
endY = y;
}
}
}
int picWidth = pictureBox1.Size.Width;
int picHeight = pictureBox1.Size.Height;
float imageRatio = xMax / (float)yMax; // image W:H ratio
float containerRatio = picWidth / (float)picHeight; // container W:H ratio
if (imageRatio >= containerRatio)
{
// horizontal image
float scaleFactor = picWidth / (float)xMax;
float scaledHeight = yMax * scaleFactor;
// calculate gap between top of container and top of image
float filler = Math.Abs(picHeight - scaledHeight) / 2;
//float filler = 0;
startX = (int)(startX * scaleFactor);
endX = (int)(endX * scaleFactor);
startY = (int)((startY) * scaleFactor + filler);
endY = (int)((endY) * scaleFactor + filler);
}
else
{
// vertical image
float scaleFactor = picHeight / (float)yMax;
float scaledWidth = xMax * scaleFactor;
float filler = Math.Abs(picWidth - scaledWidth) / 2;
startX = (int)((startX) * scaleFactor + filler);
endX = (int)((endX) * scaleFactor + filler);
startY = (int)(startY * scaleFactor);
endY = (int)(endY * scaleFactor);
}
//var scaleX = picWidth / (float)xMax;
//var scaleY = picHeight / (float)yMax;
//startX = (int)Math.Round(startX * scaleX);
//startY = (int)Math.Round(startY * scaleY);
//endX = (int)Math.Round(endX * scaleX);
//endY = (int)Math.Round(endY * scaleY);
}
}
}
}
private bool _once = true;
private void pictureBox1_Paint(object sender, PaintEventArgs e)
{
if (_once)
{
//Rectangle ee = new Rectangle(35, 183, 405, 157);
Rectangle ee = new Rectangle(startX, startY, endX - startX, endY - startY);
System.Diagnostics.Debug.WriteLine(startX + ", " + startY + ", " + (endX - startX) + ", " + (endY - startY));
using (Pen pen = new Pen(Color.Red, 2))
{
e.Graphics.DrawRectangle(pen, ee);
}
//_once = false;
}
}
Tif document that DOES NOT HAVE any spots and dots around content
Tif document that HAS spots and dots around content
Example Image 1:
Example Image 2
:
Example Image 3

Following experiment seems to meet all your requirements.
I put following controls onto Form1
A MenuStrip: Docking=Top, with 2 MenuItems - one to open a file, second to run an algorithm
A progressbar: Docking=Top, to watch performance of loading and algorithm
A panel with Docking=Fill and AutoScroll=true
A picture into the panel, Point(0,0), the rest by default. SizeMode=Normal.
Update
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Windows.Forms;
namespace WindowsFormsApplication1
{
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
}
// Opens an image file.
private void openToolStripMenuItem_Click(object sender, EventArgs e)
{
OpenFileDialog dlg = new OpenFileDialog();
if (dlg.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
this.image = Image.FromFile(dlg.FileName) as Bitmap;
this.pictureBox1.Image = image;
this.pictureBox1.Invalidate();
}
}
Bitmap image;
// finds top, left, right and bottom bounds of the content in TIFF file.
//
private void findBoundsToolStripMenuItem_Click(object sender, EventArgs e)
{
int contentSize = 70;
this.left = 0;
this.top = 0;
this.right = this.pictureBox1.Width - 1;
this.bottom = this.pictureBox1.Height - 1;
int h = image.Height;
int w = image.Width;
this.progressBar1.Value = 0;
this.progressBar1.Maximum = 4;
for (int y = 0; y < h; y++)
{
for (int x = 0; x < w; x++)
{
if (this.image.GetPixel(x, y).ToArgb() == Black)
{
int size = this.image.GetBlackRegionSize(x, y);
if (this.image.GetBlackRegionSize(x, y) > contentSize)
{
this.top = y;
goto label10;
}
}
}
}
label10:
this.progressBar1.Increment(1);
for (int y = h - 1; y >= 0; y--)
{
for (int x = 0; x < w; x++)
{
if (this.image.GetPixel(x, y).ToArgb() == Black)
{
if (this.image.GetBlackRegionSize(x, y) > contentSize)
{
this.bottom = y;
goto label11;
}
}
}
}
label11:
this.progressBar1.Increment(1);
for (int x = 0; x < w; x++)
{
for (int y = 0; y < h; y++)
{
if (this.image.GetPixel(x, y).ToArgb() == Black)
{
if (this.image.GetBlackRegionSize(x, y) > contentSize)
{
this.left = x;
goto label12;
}
}
}
}
label12:
this.progressBar1.Increment(1);
for (int x = w - 1; x >= 0; x--)
{
for (int y = 0; y < h; y++)
{
if (this.image.GetPixel(x, y).ToArgb() == Black)
{
if (this.image.GetBlackRegionSize(x, y) > contentSize)
{
this.right = x;
goto label13;
}
}
}
}
label13:
this.progressBar1.Increment(1);
this.pictureBox1.Invalidate();
}
internal static readonly int Black = Color.Black.ToArgb();
internal static readonly int White = Color.White.ToArgb();
int top;
int bottom;
int left;
int right;
private void pictureBox1_Paint(object sender, PaintEventArgs e)
{
if (pictureBox1.Image == null)
{
return;
}
int xMax = pictureBox1.Image.Width;
int yMax = pictureBox1.Image.Height;
int startX = this.left;
int startY = this.top;
int endX = this.right;
int endY = this.bottom;
int picWidth = pictureBox1.Size.Width;
int picHeight = pictureBox1.Size.Height;
float imageRatio = xMax / (float)yMax; // image W:H ratio
float containerRatio = picWidth / (float)picHeight; // container W:H ratio
if (imageRatio >= containerRatio)
{
// horizontal image
float scaleFactor = picWidth / (float)xMax;
float scaledHeight = yMax * scaleFactor;
// calculate gap between top of container and top of image
float filler = Math.Abs(picHeight - scaledHeight) / 2;
//float filler = 0;
startX = (int)(startX * scaleFactor);
endX = (int)(endX * scaleFactor);
startY = (int)((startY) * scaleFactor + filler);
endY = (int)((endY) * scaleFactor + filler);
}
else
{
// vertical image
float scaleFactor = picHeight / (float)yMax;
float scaledWidth = xMax * scaleFactor;
float filler = Math.Abs(picWidth - scaledWidth) / 2;
startX = (int)((startX) * scaleFactor + filler);
endX = (int)((endX) * scaleFactor + filler);
startY = (int)(startY * scaleFactor);
endY = (int)(endY * scaleFactor);
}
//if (_once)
//Rectangle ee = new Rectangle(35, 183, 405, 157);
Rectangle ee = new Rectangle(startX, startY, endX - startX, endY - startY);
System.Diagnostics.Debug.WriteLine(startX + ", " + startY + ", " + (endX - startX) + ", " + (endY - startY));
using (Pen pen = new Pen(Color.Red, 2))
{
e.Graphics.DrawRectangle(pen, ee);
}
//_once = false;
}
}
static class BitmapHelper
{
internal static int GetBlackRegionSize(this Bitmap image, int x, int y)
{
int size = 0;
GetRegionSize(image, new List<Point>(), x, y, 0, ref size);
return size;
}
// this constant prevents StackOverFlow exception.
// also it has effect on performance.
// It's value must be greater than the value of contentSize defined in findBoundsToolStripMenuItem_Click(object sender, EventArgs e) method.
const int MAXLEVEL = 100;
static void GetRegionSize(this Bitmap image, List<Point> list, int x, int y, int level, ref int size)
{
if (x >= image.Width || x < 0 || y >= image.Height || y < 0 || list.Contains(x, y) || image.GetPixel(x, y).ToArgb() != Form1.Black || level > MAXLEVEL)
{
return;
}
if (size < level)
{
size = level;
}
list.Add(new Point(x, y));
image.GetRegionSize(list, x, y - 1, level + 1, ref size);
image.GetRegionSize(list, x, y + 1, level + 1, ref size);
image.GetRegionSize(list, x - 1, y, level + 1, ref size);
image.GetRegionSize(list, x + 1, y, level + 1, ref size);
}
static bool Contains(this List<Point> list, int x, int y)
{
foreach (Point point in list)
{
if (point.X == x && point.Y == y)
{
return true;
}
}
return false;
}
}
}
"this.pictureBox1.Size = image.Size;" has been removed. Paint event handler's code changed. PictureBox size mode can be set to Zoom now.
Update 2
I tried to simplify code and increase performance.
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Windows.Forms;
namespace WindowsFormsApplication3
{
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
this.pictureBox1.Paint += new PaintEventHandler(this.pictureBox1_Paint);
}
// Opens an image file
// and runs "FindBounds()" method
private void openToolStripMenuItem_Click(object sender, EventArgs e)
{
OpenFileDialog dlg = new OpenFileDialog();
if (dlg.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
this.image = Image.FromFile(dlg.FileName) as Bitmap;
FindBounds();
this.pictureBox1.Image = image;
this.pictureBox1.Invalidate();
}
}
Bitmap image;
// Possible maximum side of a spot or a dot in the image
int maxSpotOrDotSide = 7;
// Finds top, left, right and bottom bounds of the content in TIFF file.
private void FindBounds()
{
// Possible maximum area of a spot or a dot in the image
int maxSpotOrDotArea = maxSpotOrDotSide * maxSpotOrDotSide;
this.left = 0;
this.top = 0;
this.right = this.pictureBox1.Width - 1;
this.bottom = this.pictureBox1.Height - 1;
int h = image.Height;
int w = image.Width;
int num = w * h;
// Incrementers. I tested with greater values
// like "x = 2", "x = 5" and it increased performance.
// But we must be carefull as this may cause skipping content.
int dx = 1; // Incrementer for "x"
int dy = 1; // Incrementer for "y"
// Initialization of "progressBar1"
this.progressBar1.Value = 0;
this.progressBar1.Maximum = num;
// Content of the image
BlackContent imageContent = null;
// Here we will scan pixels of the image
// starting from top left corner and
// finishing at bottom right
for (int y = 0; y < h; y += dx)
{
for (int x = 0; x < w; x += dy)
{
int val = y * w + x;
this.progressBar1.Value = val > num ? num : val;
// This block skips scanning imageContent
// thus should increase performance.
if (imageContent != null && imageContent.Contains(x, y))
{
x = imageContent.Right;
continue;
}
// Interesting things begin to happen
// after we detect the first Black pixel
if (this.image.GetPixel(x, y).ToArgb() == Black)
{
BlackContent content = new BlackContent(x, y);
// Start Flood-Fill algorithm
content.FloodFill(this.image);
if (content.Area > maxSpotOrDotArea)
{
if (imageContent == null)
{
imageContent = content;
}
imageContent.Include(content.Right, content.Bottom);
imageContent.Include(content.Left, content.Top);
}
else
{
// Here it's better we increase values of the incrementers.
// Depending on size of spots/dots.
// It should increase performance.
if (dx < content.Width) dx = content.Width;
if (dy < content.Height) dy = content.Height;
}
}
}
}
// Everything is done.
this.progressBar1.Value = this.progressBar1.Maximum;
// If image content has been detected
// then we save the information
if (imageContent != null)
{
this.left = imageContent.Left;
this.top = imageContent.Top;
this.right = imageContent.Right;
this.bottom = imageContent.Bottom;
}
this.pictureBox1.Invalidate();
}
internal static readonly int Black = Color.Black.ToArgb();
internal static readonly int White = Color.White.ToArgb();
int top;
int bottom;
int left;
int right;
private void pictureBox1_Paint(object sender, PaintEventArgs e)
{
if (pictureBox1.Image == null)
{
return;
}
int xMax = pictureBox1.Image.Width;
int yMax = pictureBox1.Image.Height;
int startX = this.left;
int startY = this.top;
int endX = this.right;
int endY = this.bottom;
int picWidth = pictureBox1.Size.Width;
int picHeight = pictureBox1.Size.Height;
float imageRatio = xMax / (float)yMax; // image W:H ratio
float containerRatio = picWidth / (float)picHeight; // container W:H ratio
if (imageRatio >= containerRatio)
{
// horizontal image
float scaleFactor = picWidth / (float)xMax;
float scaledHeight = yMax * scaleFactor;
// calculate gap between top of container and top of image
float filler = Math.Abs(picHeight - scaledHeight) / 2;
//float filler = 0;
startX = (int)(startX * scaleFactor);
endX = (int)(endX * scaleFactor);
startY = (int)((startY) * scaleFactor + filler);
endY = (int)((endY) * scaleFactor + filler);
}
else
{
// vertical image
float scaleFactor = picHeight / (float)yMax;
float scaledWidth = xMax * scaleFactor;
float filler = Math.Abs(picWidth - scaledWidth) / 2;
startX = (int)((startX) * scaleFactor + filler);
endX = (int)((endX) * scaleFactor + filler);
startY = (int)(startY * scaleFactor);
endY = (int)(endY * scaleFactor);
}
//if (_once)
//Rectangle ee = new Rectangle(35, 183, 405, 157);
Rectangle ee = new Rectangle(startX, startY, endX - startX, endY - startY);
System.Diagnostics.Debug.WriteLine(startX + ", " + startY + ", " + (endX - startX) + ", " + (endY - startY));
using (Pen pen = new Pen(Color.Red, 2))
{
e.Graphics.DrawRectangle(pen, ee);
}
//_once = false;
}
}
// This class is similar to System.Drawing.Region class
// except that its only rectangular.
// Because all we need is to draw a rectagnle
// around the image this property must
// make it faster, at least I hope so.
class BlackContent
{
internal void FloodFill(Bitmap image)
{
FloodFillPrivate(image, this.left + 1, this.top, 0);
}
// Legendary Flood-Fill algorithm.
// Quite often it ends up with StackOverFlow exception.
// But this class and its rectangularity property
// must prevent this disaster.
// In my experiments I didn't encounter incidents.
void FloodFillPrivate(Bitmap image, int x, int y, int level)
{
if (x >= image.Width || x < 0 || y >= image.Height || y < 0 || this.Contains(x, y) || image.GetPixel(x, y).ToArgb() != Form1.Black)
{
return;
}
this.Include(x, y);
FloodFillPrivate(image, x, y - 1, level + 1);
FloodFillPrivate(image, x, y + 1, level + 1);
FloodFillPrivate(image, x - 1, y, level + 1);
FloodFillPrivate(image, x + 1, y, level + 1);
}
internal BlackContent(int x, int y)
{
this.left = x;
this.right = x;
this.top = y;
this.bottom = y;
}
internal void Include(int x, int y)
{
if (x < this.left)
{
this.left = x;
}
if (this.right < x)
{
this.right = x;
}
if (this.bottom < y)
{
this.bottom = y;
}
if (y < this.top)
{
this.top = y;
}
}
internal bool Contains(int x, int y)
{
return !(x < this.left || x > this.right || y < this.top || y > this.bottom);
}
int left;
internal int Left { get { return this.left; } }
int top;
internal int Top { get { return this.top; } }
int right;
internal int Right { get { return this.right; } }
int bottom;
internal int Bottom { get { return this.bottom; } }
internal int Area
{
get
{
return Width * Height;
}
}
internal int Width
{
get
{
return (this.right - this.left + 1);
}
}
internal int Height
{
get
{
return (this.bottom - this.top + 1);
}
}
}
}
I watched the performance with ProgressBar. This one's quite faster.
I must also mention that your images are too big.

A solution could be to find areas of black pixels. When a black pixel is found, check the colour of the neighbouring pixels and create an area of black pixels. When the area is big enough, it can be considered as content. The pseudo code below illustrates this. But it is a very resource intensive solution and should at least be optimized.
private List<List<Point>> areas = new List<List<Point>>();
public void PopulateAreas()
{
//Find all the areas
for (var y = 0; y < yMax; y += 3)
{
for (var x = 0; x < xMax; x += 3)
{
Color col = bmp.GetPixel(x, y);
if (col.ToArgb() == Color.Black.ToArgb())
{
//Found a black pixel, check surrounding area
var area = new List<Point>();
area.Add(new Point(x, y));
areas.Add(area);
AppendSurroundingPixelsToArea(area, x, y);
}
}
}
var startX = Int32.MaxValue;
var startY = Int32.MaxValue;
var endX = Int32.MinValue;
var endY = Int32.MinValue;
//Loop through list of areas.
foreach (var area in areas)
{
//Minimum size of area
if (area.Count > 5)
{
var minx = area.Min(p => p.X);
if (area.Min(p => p.X) < startX)
startX = minx;
//Do the same for the others...
}
}
}
public void AppendSurroundingPixelsToArea(List<Point> area, int startX, int startY)
{
for(var x = startX - 1; x <= startX + 1; x++)
for (var y = startY - 1; y <= startY + 1; y++)
{
if ((x != 0 || y != 0) && IsBlackPixel(bmp, x, y))
{
//Add to the area
if (PointDoesNotExistInArea(area, x, y))
{
area.Add(new Point(x, y));
AppendSurroundingPixelsToArea(area, x, y);
}
}
}
}

I have solution for this,
And I suggest "kodak imaging professional". This is the viewer to display multi-page tiff files. with many features like: Annotation, invert color, rotate image... etc., and these are inbuilt functionalities.

Sharpen filter - no effect

The following routine is to sharpen an 8 bit indexed grayscale only.
This code seems to have no effect on the input image. That is, what is going in, the same is coming out.
If I increase the value of strength the image seems to be getting darker, but, never filtered.
What could be possibly going wrong?
I am using the following kernel,
double[,] _numericalKernel = new double[,]
{ { -1, -1, -1, },
{ -1, 9, -1, },
{ -1, -1, -1, }, };
The following is my source code for sharpening,
public static Bitmap NonfftSharpen(Bitmap image, double[,] mask, double strength)
{
Bitmap bitmap = (Bitmap)image.Clone();
if (bitmap != null)
{
int width = bitmap.Width;
int height = bitmap.Height;
if (mask.GetLength(0) != mask.GetLength(1))
{
throw new Exception("_numericalKernel dimensions must be same");
}
// Create sharpening filter.
int filterSize = mask.GetLength(0);
double[,] filter = (double[,])mask.Clone();
int channels = sizeof(byte);
double bias = 1.0 - strength;
double factor = strength / 16.0;
int halfOfFilerSize = filterSize / 2;
byte[,] result = new byte[bitmap.Width, bitmap.Height];
// Lock image bits for read/write.
BitmapData bitmapData = bitmap.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite,
PixelFormat.Format8bppIndexed);
// Declare an array to hold the bytes of the bitmap.
int memorySize = bitmapData.Stride * height;
byte[] memory = new byte[memorySize];
// Copy the RGB values into the local array.
Marshal.Copy(bitmapData.Scan0, memory, 0, memorySize);
int rgb;
// Fill the color array with the new sharpened color values.
for (int y = halfOfFilerSize; y < height - halfOfFilerSize; y++)
{
for (int x = halfOfFilerSize; x < width - halfOfFilerSize; x++)
{
for (int filterY = 0; filterY < filterSize; filterY++)
{
double grayShade = 0.0;
for (int filterX = 0; filterX < filterSize; filterX++)
{
int imageX = (x - halfOfFilerSize + filterX + width) % width;
int imageY = (y - halfOfFilerSize + filterY + height) % height;
rgb = imageY * bitmapData.Stride + channels * imageX;
grayShade += memory[rgb + 0] * filter[filterX, filterY];
}
rgb = y * bitmapData.Stride + channels * x;
int b = Math.Min(Math.Max((int)(factor * grayShade + (bias * memory[rgb + 0])), 0), 255);
result[x, y] = (byte)b;
}
}
}
// Update the image with the sharpened pixels.
for (int x = halfOfFilerSize; x < width - halfOfFilerSize; x++)
{
for (int y = halfOfFilerSize; y < height - halfOfFilerSize; y++)
{
rgb = y * bitmapData.Stride + channels * x;
memory[rgb + 0] = result[x, y];
}
}
// Copy the RGB values back to the bitmap.
Marshal.Copy(memory, 0, bitmapData.Scan0, memorySize);
// Release image bits.
bitmap.UnlockBits(bitmapData);
return bitmap;
}
else
{
throw new Exception("input image can't be null");
}
}

I've changed your function a bit to make it work.
Take care that the strength parameter has no effect in my function. You can play with the bias and factor values to get different results in brightness and so on.
public static Bitmap NonfftSharpen(Bitmap image, double[,] mask, double strength)
{
Bitmap bitmap = (Bitmap)image.Clone();
if (bitmap != null)
{
int width = bitmap.Width;
int height = bitmap.Height;
if (mask.GetLength(0) != mask.GetLength(1))
{
throw new Exception("_numericalKernel dimensions must be same");
}
// Create sharpening filter.
int filterSize = mask.GetLength(0);
double[,] filter = (double[,])mask.Clone();
int channels = sizeof(byte);
double bias = 0.0; // 1.0 - strength;
double factor = 1.0; // strength / 16.0;
byte[,] result = new byte[bitmap.Width, bitmap.Height];
// Lock image bits for read/write.
BitmapData bitmapData = bitmap.LockBits(new System.Drawing.Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite,
System.Drawing.Imaging.PixelFormat.Format8bppIndexed);
// Declare an array to hold the bytes of the bitmap.
int memorySize = bitmapData.Stride * height;
byte[] memory = new byte[memorySize];
// Copy the RGB values into the local array.
Marshal.Copy(bitmapData.Scan0, memory, 0, memorySize);
int pixel;
// Fill the color array with the new sharpened color values.
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
double grayShade = 0.0;
for (int filterY = 0; filterY < filterSize; filterY++)
{
for (int filterX = 0; filterX < filterSize; filterX++)
{
int imageX = (x - filterSize / 2 + filterX + width) % width;
int imageY = (y - filterSize / 2 + filterY + height) % height;
pixel = imageY * bitmapData.Stride + channels * imageX;
grayShade += memory[pixel] * filter[filterX, filterY];
}
int newPixel = Math.Min(Math.Max((int)(factor * grayShade + bias), 0), 255);
result[x, y] = (byte)newPixel;
}
}
}
// Update the image with the sharpened pixels.
for (int x = 0; x < width; x++)
{
for (int y = 0; y < height; y++)
{
pixel = y * bitmapData.Stride + channels * x;
memory[pixel] = result[x, y];
}
}
// Copy the values back to the bitmap.
Marshal.Copy(memory, 0, bitmapData.Scan0, memorySize);
// Release image bits.
bitmap.UnlockBits(bitmapData);
return bitmap;
}
else
{
throw new Exception("input image can't be null");
}
}
I hope this gets you going :)
Regards

Cut transparent parts image

The updated image:
thanks you very much man but i wanted to do somthing little different, to cut each rectangle here as a sperate image.Lets try first to find the blue block Bounds. Sounds hard but its actually simple.
look when i have done so far:
private unsafe Bitmap CodeImage(Bitmap bmp)
{
Bitmap bmpRes = new Bitmap(bmp.Width, bmp.Height);
BitmapData bmData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), System.Drawing.Imaging.ImageLockMode.ReadOnly, bmp.PixelFormat);
IntPtr scan0 = bmData.Scan0;
int stride = bmData.Stride;
int nWidth = bmp.Width;
int nHeight = bmp.Height;
int minX = 10000 ;
int maxX = -10000;
int minY = 10000;
var maxY = -10000;
bool found = false;
for (int y = 0; y < nHeight; y++)
{
byte* p = (byte*)scan0.ToPointer();
p += y * stride;
for (int x = 0; x < nWidth; x++)
{
if (p[3]!=0) //Check if pixel is transpert;
{
found = true;
if (x < minX)
minX = x;
if (y < minY)
minY = y;
if (x > maxX)
maxX = x;
if (y > maxY)
maxY = y;
}
else
{
if (found)
{
Rectangle temp = new Rectangle(minX, minY, maxX - minX, maxY-minY);
return bmp.Clone(temp, bmp.PixelFormat);
}
}
p += 4;
}
}
return null;
}
you actually was write and i should calculate the width like this :
int width = maxX - minX; and it actually works.. but the height is 0....
try this out man its outputing almost correct rectangle with these bounds:
(200,800,400, and 0 on the height).
i just used parts of your code in my algorithm and yea you were right but now there is a little problem with the height i' would very appreciate if you will have a look

I'll write this in pseudo-ish-code since you should be able then to apply it to any type of image or language...
var minX = 10000
var maxX = -10000
var minY = 10000
var maxY = -10000
for (var y = 0 to height)
{
for (var x = 0 to width)
{
if (pixel(x,y).Color != transparent)
{
if (x < minX) minX = x
if (y < minY) minY = y
if (x > maxX) maxX = x
if (y > maxY) maxY = y
}
}
}
var cropRectangle = (minX, minY, maxX, maxY)
You can now use standard functions on the bitmap to get that area, which should be the area bounded by the non-transparent pixels.

Looping through pixels excluding an area

I have the following code for looping pixels in an image:
Bitmap myBitmap = new Bitmap(pictureBox1.Image);
for (x = 0; x < pictureBox1.Image.Width; x += 1)
{
for (y = 0; y < pictureBox1.Image.Height; y += 1)
{
Color pixelColor = myBitmap.GetPixel(x, y);
aws = pixelColor.GetBrightness();
}
}
The above works. What if i want to exclude an area of the image. The area is an area selected by the user,for example:
from x=200&y=30 to x=250&y=30
from x=200&y=35 to x=250&y=35
from x=200&y=40 to x=250&y=40
from x=200&y=45 to x=250&y=45
How i loop all pixels except the one i wrote above?
Thank you!

I think you can do something like the following
Rectangle rectToExclude = new Rectangle(200, 30, 250, 30);//rectangle to be excluded
Bitmap myBitmap = new Bitmap(pictureBox1.Image);
for (x = 0; x < pictureBox1.Image.Width; x += 1)
{
for (y = 0; y < pictureBox1.Image.Height; y += 1)
{
if (rectToExclude.Contains(x, y)) continue; // if in the exclude rect then continue without doing any effects
Color pixelColor = myBitmap.GetPixel(x, y);
aws = pixelColor.GetBrightness();
}
}

Maybe write a function to test x and y like this:
public static bool IsInArea(int testx, int testy, int x1, int y1, int x2, int y2)
{
if (testx > x1 && testx < x2 && testy > y1 && testy < y2)
{
return true;
}
else
{
return false;
}
}
and then use it like this:
BitmapData bmd = myBitmap.LockBits(new Rectangle(0, 0, myBitmap.Width, myBitmap.Height),
System.Drawing.Imaging.ImageLockMode.ReadWrite,
myBitmap.PixelFormat);
int PixelSize = 4;
unsafe
{
for (int y = 0; y < bmd.Height; y++)
{
byte* row = (byte*)bmd.Scan0 + (y * bmd.Stride);
for (int x = 0; x < bmd.Width; x++)
{
if (!IsInArea(x, y, 200, 30, 250, 30))
{
int b = row[x * PixelSize]; //Blue
int g = row[x * PixelSize + 1]; //Green
int r = row[x * PixelSize + 2]; //Red
int a = row[x * PixelSize + 3]; //Alpha
Color c = Color.FromArgb(a, r, g, b);
float brightness = c.GetBrightness();
}
}
}
}
myBitmap.UnlockBits(bmd);