Title :
An edge detection technique in images
Author :
Awad, A.S. ; Man, H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hudson, NJ
Abstract :
A novel edge detection method based on a neighbourhood similarity criterion is presented in this paper. In this algorithm, the pixels in the original image that have minimum numbers of similar pixels among its neighbouring pixels in the filtering window are labelled as edge pixels. Simulation results demonstrate that this approach performs well in noise-free images but it is superior to the others in images corrupted by AWGV. Moreover, the algorithm is fast and has low computational complexity.
Keywords :
edge detection; filtering theory; edge detection technique; edge pixels; neighbourhood similarity criterion; neighbouring pixels; noise-free images; Additive white noise; Computational complexity; Computational modeling; Filtering algorithms; Gaussian noise; Image edge detection; Neural networks; Pixel; Smoothing methods; Surface fitting;
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2008. AIPR '08. 37th IEEE
Conference_Location :
Washington DC
Print_ISBN :
978-1-4244-3125-0
Electronic_ISBN :
1550-5219
DOI :
10.1109/AIPR.2008.4906439
