![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
Crack Detection of Medical Bone Image Using Contrast Stretching Algorithm with the Help of Edge Detection
The purpose of this project is to find out the accuracy of an X-Ray Detection of crack Bone using Canny Edge Detection Method. Cracked bone is a bone condition that suffered a breakdown of bone integrity. Normally, bones have elasticity and a great number of strength. Crack in the Bone only happen when the bones took a force beyond their elasticity or strength. Canny Edge Detection method is an optimal edge detection algorithm on determining the end of a line with changeable threshold and less error rate. The proposed algorithm simulate on MATLAB 12-b and results have shown how canny edge detection can help determine location of crack in the bone.
Keywords
Histogram Equalization, Image Enhancement, Edge Detection, Frequency Domain Analysis, Automatic Crack Detection of Bone.
User
Font Size
Information
![](https://i-scholar.in/public/site/images/abstractview.png)
Abstract Views: 136
![](https://i-scholar.in/public/site/images/pdfview.png)
PDF Views: 0