Author:
Xu Ziqi,Ji Xiaoqiang,Wang Meijiao,Sun Xiaobing
Abstract
Abstract
Edge detection is an important part of image segmentation, in this paper, the edge detection algorithm based on traditional Canny operator for medical images is studied. The Canny operator is improved using Otsu algorithm and double-gate limit detection method, and the ability of Canny operator edge detection is strengthened. The simulation of the algorithm is realized on the computer platform by MATLAB, and the experimental results are analyzed from two image objective evaluation indexes of information entropy and mean square error. The experimental results show that compared with the traditional Canny algorithm, the improved adaptive double threshold Canny algorithm has better edge detection effect, richer image details, better noise suppression and less false edges.
Subject
General Physics and Astronomy
Reference10 articles.
1. An Efficient Edge Detection Approach to Provide Better Edge Connectivity for Image Analysis [J];Mittal;IEEE Access,2019
2. Object Detection in Underwater Image by Detecting Edges using Adaptive Thresholding[C];Saini,2019
3. An Averaged Intensity Difference Detection Algorithm for Identification of Human Gingival Sulcus in Optical Coherence Tomography Images [J];Ravichandran;IEEE Access,2019
4. Edge Detection of CT scan Spine disc image using Canny Edge Detection Algorithm based on Magnitude and Edge Length[C];Punarselvam;The 3rd International Conference on Trendz in Information Sciences & Computing (TISC2011),2011
Cited by
23 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献