I want convert Image file (PNG,JPG) to SVG using C#. But I don't want to have image/base64 string in my svg tag.
SVG means Scalable Vector Graphics, which is not an image in the way a .PNG or .JPG is. Rather than storing an array of pixels, it stores a list of mathematical shapes and designs. The intent of an SVG is to create an 'image' that retains quality regardless of how far you zoom in or out.
There is no benefit to converting .PNG to .SVG - in fact, it loses quite a bit of quality because you can't literally "convert" it, you can only trace it (IE, draw a new SVG that looks like the PNG.)
In summary: I think you're asking the wrong thing here, or you simply don't understand what you're asking. Please clarify if you can.
I've used the website below and got great results converting logos and what-have-you to vector formats. I have no connection to them:
http://vectormagic.com/home
Related
I am trying to implement my own monochrome/black and white filter in C# to scan text documents. My approach is to apply a threshold filter on the captured image. However, I often run into the problem that the varying brightness on the image causes a ''shadowing effect'' on the processed image. Refer to the link below (it is pretty blurry but it should suffice). The image to the far left is the original image. When I apply my threshold filter, I get the same result as the image in the middle; some of the text becomes unreadable because the brightness of the image varies, so some portions become really black or really white. However, with the right filter, you can obtain the processed image to the right where everything looks crystal clear.
https://www.google.dk/search?q=monochrome+image+processing&espv=2&biw=1706&bih=859&source=lnms&tbm=isch&sa=X&ved=0ahUKEwir8vXlhIzPAhUFiywKHeSBC1wQ_AUIBigB#imgrc=4UTzoIpyqTkwrM%3A
I would like to know what the process is to obtain the image to the far right. Another example can be seen in the image below. It shows a sample mobile PDF scanner in use. Scanning the image results in a very nice black and white image, where the text can be easily read and no ''shadowing'' occurs on the image. Does anyone know what this process is or what it is called? It is very often used in mobile PDF scanning applications. Thank you in advance.
EDIT: The filter is called ''Adaptive Thresholding''. You can use the BradleyLocalThresholding class to implement the filter, or you can write it yourself (which is what I did). Please refer to my response to the comment by Yves Daoust down below.
You need two ingredients.
One is "background reconstruction", i.e. retrieving the intensity of the white sheet "under the characters", for instance by morphological opening.
The other is "shading correction", i.e. compensating the unevenness of the background illumination by comparing to the reconstructed background, for instance by subtraction.
This will "flatten" the image, making it perfectly amenable to global thresholding.
A simple method is to convert the image to grayscale and then convert it to B/W using an error diffusion algorithm such as Floyd–Steinberg dithering.
The Picturebox control in c# does not take into account the EXIF Orientation tag for images.So the images appear in the wrong orientation.I intent to solve this problem by reading the EXIF data and manually rotating the Image.But processing the image with exif orientation tag is a problem.Since the user may choose any output format and if i assume right only JPEG and TIF support EXIF.So the final processed image should be manually rotated rather than adding the EXIF Tag.
Is my assumption correct?
Your assumption is mostly correct.
Orientation tags are supported in JFIF (plain JPEG), TIFF (countless sub-types) and the 2 types of Exif (JPEG-compressed and single-page uncompressed TIFF). Almost all other common image formats do not support it, but that depends on how you define common.
This post discusses some ways developers can handle similar situations.
Although the discussion is about LEADTOOLS, the design logic behind the 3 options discussed is valid regardless of the classes or functions you use to handle your images.
I'm currently working on a fractal generator in C# and I'm trying to export my set of coordinates to a very simple image file.
What i have is a 1-dimensional array of 3d point (x, y and z coordinate) and i wish to save it to an image where the z value will be the color of the pixel (grayscale only).
From what i gathered, the RAW format would be the easiest to work with, but even then i couldn't find documentation on it. I then looked at the namespace System.Drawing but i'm at a lost, it seems overly complicated for what i'm trying to achieve.
Is there an easy way to write such an image?
This link should help explain how to create an image pixel by pixel:
http://msdn.microsoft.com/en-us/library/system.drawing.image%28v=vs.80%29.aspx
then you should be able to use image1.Save with a string argument of the file location.
If you just want to display it on a winform, then you could keep the original source code from the link.
You can create a new image instead of loading one like so:
System.Drawing.Bitmap myMap = new System.Drawing.Bitmap(200,300); //200x300 pixels
I made a program that converts an image to ASCII based webpage.
http://postimage.org/image/2pi49sa4k/
That image was rendered using Chrome, on 50% size (miminal).
Obviously, I can make it myself because the code is only based on the FONT tag,
but I believe that it'll make things more complicated, as I'm not too good with graphics etc.
I would like to know how I can convert that string to a Bitmap or Image, with some parameters.(like size etc)
Thank you !
I have an image that I get and attempt to load into a graphics object using Graphics.FromImage(image), however this throws an exception if the image has an indexed pixel format.
Is there a way to safely convert an indexed image?
Update: Thanks to Joe for the tip to just draw the old image over the new one, instead I was trying to convert it. This makes a lot of sense.
One easy way is to create a new image of the same size (with a 32-bit pixel format). Then create a graphics object for that image and draw the original on top of it.
what you can do is based on the indexes u can calculate the euclidian distance in the 3 channel color space. Then find the closest color and use those values for your new image.