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Image segmentation using thresholding for cell nuclei detection of colon tissue

Publication Type : Conference Paper

Publisher : 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015

Source : 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, Institute of Electrical and Electronics Engineers Inc., p.1199-1203 (2015)

Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84946237431&partnerID=40&md5=e8ec73c4f9c2e597dbd6490df72af2de

ISBN : 9781479987917

Keywords : Bins, Cancer detection, Cells, Colon tissues, Cytology, Diseases, hernatoxilin eosin, Image processing, Image segmentation, Image segmentation process, Information science, Medical Image Processing, Medical imaging, Nuclei detections, Segmented images, Thresholding, Thresholding techniques, Tissue

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2015

Abstract : 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. © 2015 IEEE.

Cite this Research Publication : A. Aa Nawandhar, Yamujala, Lb, and Dr. Navin Kumar, “Image segmentation using thresholding for cell nuclei detection of colon tissue”, in 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, 2015, pp. 1199-1203.

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