[5 points] Given an RGB image, quantize the 3-dimensional RGB space, and map eac

Question

[5 points] Given an RGB image, quantize the 3-dimensional RGB space, and map each pixel in the input image to its nearest k-means center. That is, replace the RGB value at each pixel with its nearest cluster?s average RGB value. Use the following form: Function [outputlmg, meanColors] = quantizeRGB(origlmg, k) where origlmg and output Img are MxNx3 matrices of type uint8, k specifies the number of colors to quantize to, and meanColors is a k x 3 array of the k centers. Matlab tip: if the variable origlmg is a 3d matrix containing a color image with numpixels pixels, X = reshape (origlmg, numpixels, 3); will yield a matrix with the RGB features as its rows.

Explanation / Answer

The following function might be helpful.

impixel(I)
P = impixel(I,c,r)
P = impixel(X,map)
P = impixel(X,map,c,r)
[c,r,P] = impixel(___)
P = impixel(x,y,I,xi,yi)
[xi,yi,P] = impixel(x,y,I,xi,yi)

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