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