PAPER ID:IJIM/V.2(VIII)/159-164/25

AUTHOR :Mandeep, Vikas Chawla and Saranjeet Singh

TITLE: CLUSTER BASED ON SEGMENTATION MEDICAL IMAGES USING MATLAB

ABSTRACT: Image processing is one of most growing research area these days and now it is very much included with the medical and biotechnology field. Image Processing can be used to analyze different medical image to get the abnormality in the image. In this paper, a new segmentation scheme for the white blood cells from microscopic images is proposed. The  is based on the K-means clustering technique. The RGB test images are converted to the L*a*b color space, and then the two color machinery (a and b) are used as features to the K-means clustering algorithm. The success of image analysis depends on segmentation reliability. The accurate partition of the image into regions is a challenging task. K-Means Clustering algorithm is the popular unsupervised clustering for dividing the images into multiple regions based on image color property.

KEYWORDS: DSP,MSE.PSNR,K-Mean

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