Transition Region-Based Thresholding using Maximum Entropy and Morphological Operations
نویسنده
چکیده
Thresholding method based on transition region is a new approach for image segmentation. In this paper, a novel transition region extraction and thresholding method based on maximum entropy and morphological operations. Hence, the proposed algorithm can accurately extract transition region of an image and get ideal segmentation result. The proposed algorithm was compared with maximum entropy and Niblack algorithm on a real world images, and the experimental results show the effectiveness and efficiency of the algorithm.
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تاریخ انتشار 2016