文章基本信息

标题：The Performance Analysis of Edge Detection Algorithms for Image Processing Based on Improved Canny Operator
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作者：Shivani ; Er. Harjeet Singh
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2020
卷号：68
期号：10
页码：29-34
DOI：10.14445/22312803/IJCTT-V68I10P106
出版社：Seventh Sense Research Group
摘要：Identifying the edges of digital images is an important step towards identifying human organs objects, such as skeletons of bone. Usually, once a bone fracture image is obtained, various algorithms are used to extract useful information. This information is particularly useful for identifying tumor boundaries for planning operations, etc. There are many edge detection algorithms based purely on the differential operators, such as Canny Operator, Robert operator, Sobel operator, Prewitt operator, etc. These operators are simple, easy to implement, and have a good execution time. On the other hand, they are sensitive to noise; thus, edge detection accuracy should be improved. Canny operator represents the improvement of the traditional single threshold method, in which the high and low threshold is selected according to the gradient of the image histogram.
关键词：PSNR; MAE; CT; CAD