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How to get Real Time Lip Segmentation using Matlab R2013b

3 visualizaciones (últimos 30 días)
I am new for Matlab newbie , actually with reference link i am trying to get lip detection like http://www.academia.edu/945274/A_Robust_Lip_Center_Detection_In_Cell_Phone_Environment i have implement code like i am not getting exact lip shape binary out put, please explain binarize lip region how to achieve i am confused.
YIQ = rgb2ntsc(hue1);
Y1 = YIQ(:,:,1);
I1 = YIQ(:,:,2);
Q = YIQ(:,:,3);
J = imadjust(Y1);
t = graythresh(blue_Image);
imCoin = (red_Image > hueThresholdHigh);
K = medfilt2(red_Image);
[level1 EM]= graythresh(K);
BW_lip = im2bw(red_Image);
Binary_Hue = red_Image > T;
level = graythresh(J);
binary_Image = im2bw(J,level);
[imx,imy]=size(binary_Image);
bw_Fill= imfill(binary_Image,'holes');
labeledImage = bwlabel(bw_Fill, 8);
blobMeasurements = regionprops(labeledImage, 'area');
areas = [blobMeasurements.Area];
[maxArea largestBlobIndex] = max(areas);
bw_area = bwareaopen(bw_Fill ,2500);
BWnobord = imclearborder(bw_area, 4);
seD = strel('disk',1);
% BWfinal = imerode(BWnobord,seD);
BWfinal = imerode(BWnobord,seD);
BWoutline = bwperim(bw_area);
Segout = mouthcrop;
Segout(BWoutline) = 255;

Respuesta aceptada

Image Analyst
Image Analyst el 28 de Dic. de 2013
There is no algorithm there at all. It looks more or less like a random collection of lines from different image processing algorithms. There is no sensible algorithm there at all. Keep working on it.
  2 comentarios
SAMEER ahamed
SAMEER ahamed el 30 de Dic. de 2013
Thank You reply me .can you please let me know how to get Threshold Lip Segmentation based on another reference link ?<https://docs.google.com/file/d/0B5pNZ8F5ApG2bWhobmpmLUl4d1U/edit?pli=1 Lip Hue Binary Image.> Thanks

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