Implementing Edge Detection for Medical Diagnosis of a Bone in Matlab
Abstract-Edges of an image are considered a type of crucial information that can be extracted by applying detectors with different methodology. Edge detection is a basic and important subject in computer vision and image processing In this Paper we discuss several Digital Image Processing Techniques applied in edge feature extraction. Firstly, Linear filtering of Image is done is used to remove noises from the image collected. Secondly, some edge detection operators such as Sobel, Log edge detection, canny edge detection are analyzed and then according to the simulation results, the advantages and disadvantages of these edge detection operators are compared. It is shown that the canny operator can obtain better edge feature. Finally, Edge detection is applied to find crack in a bone of a hand. After experimentation, edge detection method proposed in this paper is Feasible.
Filters Sobel Canny Log Distortion
Madhulika Dr. Divakar Yadav Madhurima Pritee Gupta Gurpreet Kaur Jyoti Singh Mallika Gandhi Ajeet Singh
Dept of Computer ScienceSIETGreater Noida ,India Department of Computer ScienceJIITNoida (India) Department of Computer ScienceAPJ, Satya UniversityGurgaon, India Department of Computer ScienceITSGr.Noida, India Department of Computer ScienceUnited college of Engineering,Gr.Noida, India Department of Computer ScienceSIETGr. Noida, India Department of Computer ScienceSIETGr.Noida, India
国际会议
哈尔滨
英文
89-93
2011-01-18（万方平台首次上网日期，不代表论文的发表时间）