DocumentCode :
2822033
Title :
A low complexity dual mode edge detector
Author :
Kau, Lih-Jen ; Chen, Chih-Shen
Author_Institution :
Dept. of Electron. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Edge detection is widely applied in digital image processing, especially in segmentation of images. Many of the well-known edge detectors, e.g., Sobel and Canny operator, are based on spatial filtering with a mask around the pixel under detection. In this paper, we propose a very low complexity edge detector that has two operation modes; non-causal mode and causal mode. Though simple in its form, the proposed two operation modes can pick out pixels around boundaries effectively and efficiently. For images with salt-and-pepper noise, the proposed approach offers a much better noise immunity than that of by Sobel operator. Experimental results are also given to demonstrate the superiority of the proposed approach.
Keywords :
edge detection; image segmentation; spatial filters; Canny operator; Sobel operator; digital image processing; dual mode edge detector; image segmentation; low complexity edge detector; mask; noise immunity; noncausal mode; salt-and-pepper noise; spatial filtering; Complexity theory; Detectors; Image coding; Image edge detection; Noise; Shape; Vectors; Causal Pixel; Edge Detection; Gradient; Predictive Image Coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
Type :
conf
DOI :
10.1109/VCIP.2011.6115968
Filename :
6115968
Link To Document :
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