Performance Evaluation of Image Edge Detection Techniques

International Journal of Computer Science and Security

Maher I. Rajab¹ 

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关键词: Image Edge Detection;    Gaussian Noise;    Gaussian Smoothing.;   

DOI  :  

来源: Computer Science and Security

【 摘 要 】

The success of an image recognition procedure is related to the quality of the edges marked. The aim of this research is to investigate and evaluate edge detection techniques when applied to noisy images at different scales. Sobel, Prewitt, and Canny edge detection algorithms are evaluated using artificially generated images and comparison criteria: edge quality (EQ) and map quality (MQ). The results demonstrated that the use of these criteria can be utilized as an aid for further analysis and arbitration to find the best edge detector for a given image.

【 授权许可】

Unknown