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Segmentation Oral-OSF image

Segmentation Oral-OSF image. Segmentation of the images Analysis of the features of Oral Epithelium Identification of potential precancerous lesions and conditions. Original image. Segmentation using texture filter. Algorithm color_img=imread('c.jpg'); gray_img=rgb2gray(color_img);

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Segmentation Oral-OSF image

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  1. Segmentation Oral-OSF image • Segmentation of the images • Analysis of the features of Oral Epithelium • Identification of potential precancerous lesions and conditions

  2. Original image

  3. Segmentation using texture filter Algorithm color_img=imread('c.jpg'); gray_img=rgb2gray(color_img); % Convert the rgb image into gray scale image

  4. E = entropyfilt(gray_img); Eim = mat2gray(E); % The function entropyfilt returns an array where each output pixel contains the entropy value of the 9-by-9 neighborhood around the corresponding pixel in the input image.

  5. % Create a mask for the bottom texture BW = im2bw(Eim, .6);

  6. BWao = bwareaopen(BW,2000); figure,imshow(BWao); % removes the objects from the image whose total number of pixels is less than 2000.

  7. nhood = true(9); closeBWao = imclose(BWao,nhood); % imclose is used to smooth the edges and to close any open holes in the object in BWao.

  8. roughMask = imfill(closeBWao,'holes'); % imfill to fill holes in the object in closeBWao

  9. I = gray_img; I(roughMask) = 0; I2=gray_img-I; % the final segmented image of the epithelial layer

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