Title :
Optimization of Laplace of Gaussian (LoG) filter for enhanced edge detection: A new approach
Author :
Mallick, Arijit ; Roy, Sandip ; Chaudhuri, Sheli Sinha ; Roy, Sandip
Author_Institution :
Dept. of Electron. & Instrum. Eng., Jadavpur Univ., Kolkata, India
fDate :
Jan. 31 2014-Feb. 2 2014
Abstract :
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.
Keywords :
Gaussian processes; edge detection; filtering theory; image segmentation; search problems; Cuckoo search optimization; Laplace of Gaussian filter; LoG filter; PFOM; Pratt figure of merit; edge detection; image segmentation; quality factor; standard deviation parameter; threshold neighboring pixel value; Detectors; Filtering algorithms; Image edge detection; Image segmentation; Instruments; Optimization; Standards; Laplace of Gaussian filter; Levy Flight; PFOM; cuckoo search; optimization;
Conference_Titel :
Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
Conference_Location :
Calcutta
DOI :
10.1109/CIEC.2014.6959172
