DocumentCode :
3379248
Title :
A new edge detection method based on contrast enhancement
Author :
LI, Zhijie ; Liu, Yongkui ; Yun, Jian ; Huang, Feixue
Author_Institution :
Sch. of Comput. Sci. & Eng., Dalian Nat. Univ., Dalian, China
fYear :
2009
fDate :
13-14 Dec. 2009
Firstpage :
164
Lastpage :
167
Abstract :
A new edge detection method (CEED (Contrast Enhancement Edge Detection)) using neighborhood contrast is proposed in this paper, which does not utilize template operator. The edge detection frame for contrast enhancement is established and the corresponding algorithm is given. After defining the contrast evaluation function and edge structure candidate set, the contrast matrix of original image is produced, where each element value measures the degree of belonging to edge. Experimental results show that the CEED method is efficient, especially for irregular edge detection.
Keywords :
edge detection; image enhancement; CEED method; contrast enhancement; contrast evaluation function; contrast matrix; edge detection; edge structure candidate set; Biomedical engineering; Biomedical measurements; Change detection algorithms; Computer science; Electronic mail; Image edge detection; Image segmentation; Laplace equations; Machine vision; Pattern recognition; Contrast; Edge detection; Non-maximum suppression; Smooth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4690-2
Electronic_ISBN :
978-1-4244-4692-6
Type :
conf
DOI :
10.1109/FBIE.2009.5405865
Filename :
5405865
Link To Document :
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