Title :
Detection of Earth Surface Cracks Using Parallel Genetic Algorithm Based Thresholding
Author :
Kanungo, P. ; Nanda, P.K. ; Ghosh, A.
Author_Institution :
Dept. of E&TC, C.V. Raman Coll. of Eng., Bhubaneswar, India
Abstract :
A parallel genetic algorithm (PGA) based scheme for detection of cracks in images is proposed. The proposed segmentation scheme is a feature based one and the optimum threshold is determined from the the feature histogram. Parallel genetic algorithm (PGA) based clustering is proposed to detect two peaks and thereafter the optimal threshold is determined by minimum mean square error (MMSE) based strategy. The proposed method has been tested successfully with various images. The performance of the proposed method is compared with that of Otsu´s, Kwon´s, feature less(FL) and feature based(FB) approaches and it is found that the proposed method outperformed all these methods for crack detection.
Keywords :
Earth; feature extraction; genetic algorithms; image segmentation; least mean squares methods; parallel algorithms; clustering; earth surface cracks; feature histogram; feature-based method; featureless method; image segmentation; minimum mean square error-based strategy; parallel genetic algorithm based thresholding; Concurrent computing; Earth; Electronics packaging; Genetic algorithms; Histograms; Image segmentation; Least squares approximation; Pixel; Surface cracks; Telecommunication computing; Clustering; Image Segmentation; Parallel Genetic Algorithm; Thresholding;
Conference_Titel :
Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
Conference_Location :
Trivandrum, Kerala
Print_ISBN :
978-1-4244-5321-4
Electronic_ISBN :
978-0-7695-3915-7
DOI :
10.1109/ACT.2009.12
