DocumentCode
2907739
Title
A novel image segmentation algorithm based on convex polygon edge detection
Author
Yishao, Lian ; Jiajun, Bu ; Chun, Chen ; Mingli, Song
Author_Institution
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
Volume
B
fYear
2004
fDate
21-24 Nov. 2004
Firstpage
108
Abstract
A novel image segmentation technique: closed edge circular scan (CECS) is proposed to locate the convex polygon edge of the central object in an image. Conventional edge detection approaches are employed to trace object boundaries. One key to this approach is a circular edge scan algorithm with a dynamic radius, which connects separate edges into a semiclosed edge. A semiseed-fill algorithm is performed to finish the segmentation of the image. Test has been done on numerous images of various kinds. The experiment result shows good accuracy. This algorithm is efficient and robust in segmentation of object with convex polygon object.
Keywords
edge detection; image segmentation; object detection; CECS; closed edge circular scan; convex polygon edge location; edge detection approach; image segmentation technique; object boundary tracing; semiclosed edge; semiseed-fill algorithm; Computer science; Detectors; Educational institutions; Filters; Heuristic algorithms; Image edge detection; Image segmentation; Robustness; Shape; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN
0-7803-8560-8
Type
conf
DOI
10.1109/TENCON.2004.1414543
Filename
1414543
Link To Document