文章基本信息

标题：GRAY CO-EFFICIENT MASS ESTIMATION BASED IMAGE SEGMENTATION TECHNIQUE FOR LUNG CANCER DETECTION USING GABOR FILTERS
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作者：K.SANKAR ; DR.M.PRABAKARAN
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：66
期号：2
出版社：Journal of Theoretical and Applied
摘要：Lung cancer detection techniques have been discussed widely in the medical domain; where the location and presence of cancer has to be identified from low level X-Rays or medium level Scans. Still the accuracy of detection depends on the medical practitioner or the automatic detection system. Whatever it is, the process has defects in identifying LCD and the accuracy of identification is highly questionable due to the false positive results provided. There are many features and techniques have been proposed earlier for detection of LCD, we propose a new mass estimation technique with gray co-efficient values based on which segmentation is performed. The proposed method removes the noise present in the input image using Gabor filter. The efficiency of Gabor filter helps to improve the image quality, and then we compute the gray co-efficient mass estimation for each of the pixel from image. Based on computed mass value of each pixel, the segmentation is performed. The segmentation process uses mass threshold, using which the pixel is selected for LCD process. The selected pixels are used to form the region for LCD and to produce results to the user. The proposed approach has produced efficient results with less false results, also reduces the time complexity.
关键词：Gabor Filter; Image segmentation; Mass Estimation; LCD Detection.