DocumentCode :
3010695
Title :
Region segmentation using edge based circle growing
Author :
Shimbashi, T. ; Kokubo, Y. ; Shirota, N.
Author_Institution :
Res. Center, Sony Corp., Tokyo, Japan
Volume :
3
fYear :
1995
fDate :
23-26 Oct 1995
Firstpage :
65
Abstract :
A new region segmentation method using edge based circle growing technique to construct texture regions for a natural image is proposed. This method can be used in object based coding for constructing closed regions to form contours. Also, it is robust against broken, noisy and isolated edges. Unlike the previous relaxation methods, e.g. the snake scheme, initialization parameters are not required to do region segmentation in this new method. Simulation results have shown that automatic region segmentation of the natural image can be achieved using this new method
Keywords :
edge detection; image coding; image segmentation; image texture; broken edges; closed regions; contour formation; edge based circle growing; isolated edges; natural image; noisy edges; object based coding; region segmentation; texture regions; Bit rate; Data mining; Discrete cosine transforms; Image coding; Image edge detection; Image processing; Image recognition; Image segmentation; Merging; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
Type :
conf
DOI :
10.1109/ICIP.1995.537581
Filename :
537581
Link To Document :
بازگشت