| Input: RGB color image 227 2273 | | Output: Skin segmented Image | | Read RGB image | | Split image into R,G,B values | | Row,col, chnnels= size of RGB image | | Initialize Hue(H), Saturation(S) and Value(V)=0 | | // Convert RGB to HSV image | | for i =1 to row | | for j= 1 to col | | V(i,j)=max(R(i,j),G(i,j),B(i,j)) | | MinRGB=min(R(i,j),G(i,j),B(i,j)) | | If V(i,j)≠0.0 Then | | S(i,j)=((V(i,j)-MinRGB))/V(i,j) | | Else | | S(i,j)=0 | | End If | | If V(i,j)=R(i,j) Then | | H(i,j)=60(G(i,j)-B(i,j))/(V(i,j)-MinRGB) | | Else if V(i,j)=G(i,j) Then | | H(i,j)=120+60(B(i,j)-R(i,j)/(V(i,j)-MinRGB) | | Else if V(i,j)=B(i,j) Then | | H(i,j)=240+60(R(i,j)-G(i,j))/(V(i,j)-MinRGB) | | End If | | If H(i,j)<0 Then | | H(i,j)=H(i,j)+360 | | End If | | End For | | End For | | //Separate Hue, saturation and value | | H=H/2 | | S=255S | | V=255 V | | HSV=concatenation(H,S,V) | | //Apply threshold for saturation value within a range of white light(The amount of white light will vary depends on the skin tone of each image) | | Low_H,Low_S,Low_V=0,0,0 | | High_H,High_S,High_V=max_H,max_S,max_V | | Satthr=cv2.inRange(HSV, (Low_H,Low_S,Low_V),(High_H,High_S,High_V)) | | //Apply the inverse threshold for hue value within a range of image. | | Huethr=cv2.thresh_inv (HSV,(Low_H,Low_S,Low_V),(High_H,High_S,High_V)) | | //Take bitwise and between image and saturation value. | | SegmentedImage=cv2.bitwiseand(image, Satthr) |
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