Abstracto

Performance Evaluation of Canny Edge Detection and Fuzzy Mathematical Morphology in Quality Assessment

J.Ponvisagame, Dr.A.Vincent Antony Kumar

In image analysis most commonly used technique is edge detection, probably there are many edge detection techniques are available in the literature of detecting edges .in order to avoid the discontinuities in the image brightness among different regions of an image .we are proposing two edge detection algorithm that are canny edge detection algorithm and fuzzy mathematical morphology based edge detection algorithm and we are evaluating and comparing the performance of these algorithms based on quality assessments. Using same set of images, different image edge detection algorithm can be compared to recognize whether a specific algorithm produces better results