期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：2
出版社：IJCSI Press
摘要：Edge detection in medical image is an important task for object recognition of the human organs, and it is an essential pre-processing step in medical image segmentation and 3D reconstruction. Successful results of image analysis extremely depend on edge detection. Up to now several edge detection methods have been developed. But, they are sensitive to noise. This paper proposes a new edge detection algorithm based minimum cross entropy thresholding for medical images corrupted with noise. The proposed method is tested under noisy conditions on several medical images and also compared with conventional edge detectors such as Sobel, LoG and Canny edge detectors. Experimental results reveal that the proposed algorithm exhibits better performance and may efficiently be used for the detection of edges in medical images corrupted by Salt-and-Pepper noise
关键词：Minimum Cross Entropy; Edge Detection; Threshold Value; Medical Images
