Optimization of Laplace of Gaussian (LoG) filter for enhanced edge detection: A new approach
Arijit Mallick, Sourya Roy, Sheli Sinha Chaudhuri, Sangita Roy · 2014
In this paper a very remarkable approach on edge detection has been explored. The most important aspect of image segmentation is edge detection. Edge detection is a meaningful interpretation of discontinuities of similar intensity values in image analysis [1]. Laplace of Gaussian (LoG) filter is a conventional edge detecting tool. Threshold neighboring pixel value (T) and standard deviation parameters are optimized with the help of Cuckoo Search optimization in order to augment the edge detection potential of LoG. PFOM (Pratt's Figure of Merit) is used as quality factor for edge detection analysis.