文章基本信息

标题：Stress Analysis on Human Shoulder Joint during MMH Using Soft Computing Technique
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作者：C.Saravanan ; J.Anish Jafrin Thilak ; N.Subramani 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：14
出版社：S&S Publications
摘要：Most industrial plants carry out Manual Material Handling Operations. During Manual MaterialHandling employees get problem in joints, such as elbow, shoulder, wrist joints pain due to over load lifting. Toprevent this problem, stress is determined by the finite element analysis in the joints for lifting the various loads. TheSegmentation of joints images from CT scan noise images are done using Sobel Edge Detection Algorithm and CannyEdge Detection Algorithm. The most difficult problem is to find the correct boundary in a noisy image of joints. Astandard result can be used to find out absolute edges from noise images. Finally solution is produced by the cannyedge detection algorithm as a accurate boundary in a noise images of joints
关键词：Edge detection; ROI; Edge Length; Contrast; Canny Edge and Sobel operator