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Comparison of Some Classical Edge Detection Techniques with their Suitability Analysis for Medical Images Processing
Comparison of Some Classical Edge Detection Techniques with their Suitability Analysis for Medical Images Processing
Author's : Subhro Sarkar and Ardhendu Mandal
Section : Research Paper Page No : 81-87
Product Type : Conference Paper Volume-03 , Special Issue-01
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Abstract :
In digital image processing, understanding the scene is one of the most important and challenging tasks. Along with many features of an image like texture, color, line, point etc. edges are most vital feature that carries the information about the structure and overall geometry of objects the image is composed of. Edge detection is based on finding meaningful discontinuities in gray levels. This brief study is aimed towards exploring different edge detection techniques, the theories behind them and distinguishing their efficiency in finding suitable, meaningful edges in digital medical images.
Key-Words / Index Term :
roberts; prewittt; sobel; LoG;canny; MRI
Citation
Subhro Sarkar and Ardhendu Mandal, "Comparison of Some Classical Edge Detection Techniques with their Suitability Analysis for Medical Images Processing", International Journal of Computer Sciences and Engineering, Vol.03, Issue.01, pp.81-87, 2015.
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