文章基本信息

标题：Analysis of Human Knee Joint during MMH Using Soft Computing Technique
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作者：S.Dinesh ; J.Anish Jafrin Thilak ; T.Rajeshkumar 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
期号：NCIET
页码：26
出版社：S&S Publications
摘要：Bio medical image processing is an emerging field for analyzing medical images to develop models forclinical analysis and medical intervention. Recent development in biomechanics, the model developed can be used formechanical stress and vibrational analysis of human body parts. The Segmentation of joints image model from CTscan noise images are done using Canny Edge Detection Algorithm and Sobel Edge Detection Techniques. The mostdifficult problem is to find the correct boundary in a noisy image of joints. A standard result can be used to find outabsolute edges from noise images. Finally solution is produced by the canny edge detection algorithm as a accurateboundary in a noise images of joints.
关键词：Finite Element Modelling; Sobel Edge Detection Techniques; Canny Edge Detection Algorithm;Magnitude and Edge Length; CT scan image of Knee joint