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：2018
卷号：96
期号：8
出版社：Journal of Theoretical and Applied
摘要：Abdominal CT scan images are widely used in detection of kidney lesions. This paper study is conducted for pre-processing abdominal CT scan images so as to segment the kidney for further analysis of lesion detection. Various noise filters and segmentation techniques have been experimented to select the best filter and segmentation techniques for pre-processing the CT image. The experimental study finds a combination of Median filter followed by Wiener filter more effective to remove different noises present in the CT images. Different segmentation techniques have been run on the test data set of CT images and it is observed that Edge based active contour produced better results than Graph Cut and region based active contours.
