Segmentation of Lung Cancer Using Image Enhancement Techniques and Region Growing Algorithms

Parameshwarappa, Vinay and Nandish, S (2014) Segmentation of Lung Cancer Using Image Enhancement Techniques and Region Growing Algorithms. International Journal of Advanced Research in Computer Science and Software Engineering, 3 (2). pp. 482-485. ISSN 2277- 128X

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Abstract

Early detection of Lung cancer is the most challenging problem in Medical research. This is due to the abnormal formation of cells which may be sometimes overlapped. Image processing which is a growing research area has been playing a central role in the detection of lung cancer in images which are obtained through imaging modalities such as the Computed Tomography or the Magnetic Resonance Imaging. Here in our paper we use image processing tools and region growing algorithm to detect early lung cancer. In this proposed approach we are using some pre- processing imaging techniques such as the noise removal and contrast stretching. Region growing is used for segmentation. Later we detect the region of interest here the ROI is the cancer cells by boundary detection and pseudo colouring. The algorithm has been tried on different lung images and has given us a desired output

Item Type: Article
Uncontrolled Keywords: Image processing, Region Growing, Lung Cancer, Segmentation, ROI.
Subjects: Information Sciences > MCIS Manipal
Depositing User: MIT Library
Date Deposited: 21 Apr 2016 09:42
Last Modified: 21 Apr 2016 09:42
URI: http://eprints.manipal.edu/id/eprint/145903

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