How to effectively classify images based on color feature?
2 views (last 30 days)
Show older comments
I have set of currency images which i am classifying based on their RGB value. Due to some similarity in pixels of different class images I am not able to classify them properly..
Please suggest some ways to improve Thanks
0 Comments
Answers (1)
Image Analyst
on 2 Apr 2014
Just take the mean LAB value. Convert RGB into LAB with applycform. Get the right transform and be able to handle illumination differences by using an x-rite Color Checker Chart so that you can calibrate your intensities and colors. The notes almost certainly have different LAB means. If they don't then look at the means in smaller areas, say, divide the note up into quadrants and look at the means there. It should not be too hard to figure out which image is which currency note.
2 Comments
Image Analyst
on 26 Dec 2014
From the help for makecform:
Convert RGB image to L*a*b*, assuming input image is sRGB.
rgb = imread('peppers.png');
cform = makecform('srgb2lab');
lab = applycform(rgb,cform);
See Also
Categories
Find more on Image Processing Toolbox in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!