DocumentCode :
3108875
Title :
Compare between Several Linear Image Edge Detection Algorithm
Author :
Qiang, Song ; Liu, Lingxia
Author_Institution :
Comput. Dept., Anyang Inst. of Technol., Anyang, China
fYear :
2009
fDate :
28-30 Dec. 2009
Firstpage :
259
Lastpage :
263
Abstract :
Along with the rapid development of computer technology, image edge detection has become an important content of image processing. It is the basic problem of image analysis as well as the premise of image segmentation, feature extraction and image recognition. This paper discusses in detail two edge detection algorithms based on linear filtering technique, namely Marr-Hildreth algorithm and Canny algorithm.
Keywords :
digital filters; edge detection; feature extraction; image segmentation; Canny algorithm; Marr-Hildreth algorithm; edge detection algorithm; feature extraction; image recognition; image segmentation; linear filtering technique; Band pass filters; Computer vision; Educational technology; Filtering algorithms; Image edge detection; Image processing; Maximum likelihood detection; Nonlinear filters; Position sensitive particle detectors; Signal processing algorithms; edge detection algorithm; image processing; linear filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision, 2009. ICMV '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-0-7695-3944-7
Electronic_ISBN :
978-1-4244-5645-1
Type :
conf
DOI :
10.1109/ICMV.2009.77
Filename :
5381125
Link To Document :
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