文章基本信息

标题：A Method for Binary Image Thinning using Gradient and Watershed Algorithm
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作者：Kamaljeet kaur Mukesh Sharma
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：1
出版社：S.S. Mishra
摘要：Thinning is basically reducing a 'thick' digital object to 'thin' skeleton. Thinning is one of the most frequently used methods to know the geometrical feature of objects. For example, the tree structure of the bronchus is determined by using the thinned result of it. Image skeletonization can also apply on medical images for getting for refined causes of cancer or brain tumor. There are so many existing algorithms for getting a skeleton of an image. In this paper we purpose a method for skeletonization of an binary image in which we use gradient and watershed to extract what can be an image in actual and perform the skeletonization over the image to avoid higher intensity values. Implement the morphological dilation operator with thin parameter to retrieve the result image. We apply purposed method on some artificial images. Results of applying the purposed method on the variety of images will be shown. We calculate the time and PSNR values and also compare with some existing algorithms. The skeletonization implementation provided in the MATLAB Image
关键词：Skeletonization; thresholding; morphological dilation