Image segmentation using thresholding for cell nuclei detection of colon tissue

In this paper, image segmentation process using thresholding technique is discussed. We focus our study for nuclei detection of Hematoxilin Eosin (HE) stained colon tissue for the cancer detection. Detection of cancer cell at early stage is very important and several studies are being carried out. In medical imaging for the processing of microscopic tissue images and especially the detection of cell nuclei is done more and more using digital imagery techniques. However, there are many other techniques varies in complexity and quality of detection. In this paper the result of different thresholding techniques are applied on HE-stained colon tissue to detect cell nuclei in the image. In the proposed method, a binary mask is formed which is of the same size as that of original image. In this binary image, the centre of cell nuceli is represented by white colour and the background in black. This image is superimposed over the original image. The outcome of this is a segmented image to detect the cell nuclei. The process is relatively simple and results are encouraging.