Detecting a blob of color in an image

I have an image that is a depth heatmap that I've filtered out anything further away than the first 25% of the image.

It looks something like this:

There are two blobs of color in the image, one is my hand (with part of my face behind it), and the other is the desk in the lower left corner. How can I search the image to find these blobs? I would开发者_如何学Python like to be able to draw a rectangle around them if possible.

I can also do this (ignore shades, and filter to black or white):

Pick a random pixel as a seed pixel. This becomes area A. Repeatedly expand A until A doesn't get any bigger. That's your area.

The way to expand A is by looking for neighbor pixels to A, such that they have similar color to at least one neighboring pixel in A.

What "similar color" means to you is somewhat variable. If you can make exactly two colors, as you say in another answer, then "similar" is "equal". Otherwise, "similar" would mean colors that have RGB values or whatnot where each component of the two colors is within a small amount of each other (i.e. 255, 128, 128 is similar to 252, 125, 130).

You can also limit the selected pixels so they must be similar to the seed pixel, but that works better when a human is picking the seed. (I believe this is what is done in Photoshop, for example.)

This can be better than edge detection because you can deal with gradients without filtering them out of existence, and you don't need to process the resulting detected edges into a coherent area. It has the disadvantage that a gradient can go all the way from black to white and it'll register as the same area, but that may be what you want. Also, you have to be careful with the implementation or else it will be too slow.

It might be overkill for what you need, but there's a great wrapper for C# for the OpenCV libraries.

I have successfully used OpenCV in C++ for blob detection, so you might find it useful for what you're trying to do.

http://www.emgu.com/wiki/index.php/Main_Page

and the wiki page on OpenCV:

http://en.wikipedia.org/wiki/OpenCV

Edited to add: Here is a blobs detection library for Emgu in C#. There is even some nice features of ordering the blobs by descending area (useful for filtering out noise).

http://www.emgu.com/forum/viewtopic.php?f=3&t=205

Edit Again:

If Emgu is too heavyweight, Aforge.NET also includes some blob detection methods

http://www.aforgenet.com/framework/

If the image really is only two or more distinct colours (very little blur between colours), it is an easy case for an edge detection algorithm.

You can use something like the code sample from this question : find a color in an image in c#

It will help you find the x/y of specific colors in your image. Then you could use the min x/max x and the min y/max y to draw your rectangles.

Detect object from image based on object color by C#.

To detect a object based on its color, there is an easy algorithm for that. you have to choose a filtering method. Steps normally are:

1. Take the image
2. Apply ur filtering
3. Apply greyscalling
4. Subtract background and get your objects
5. Find position of all objects
6. Mark the objects

First you have to choose a filtering method, there are many filtering method provided for C#. Mainly I prefer AForge filters, for this purpose they have few filter:

1. ColorFiltering
2. ChannelFiltering
3. HSLFiltering
4. YCbCrFiltering
5. EuclideanColorFiltering

My favorite is EuclideanColorFiltering. It is easy and simple. For information about other filters you can visit link below. You have to download AForge dll for apply these in your code. More information about the exact steps can be found here: Link