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
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;
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
DOI :
10.1109/TENCON.2004.1414543