Title :
Color image segmentation using visible color difference and canny edge detector
Author :
Kibria, A.F.M.G. ; Islam, Md Minarul
Author_Institution :
Dept. of CSE, Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh
Abstract :
This paper presents an improved version for the JSEG color image segmentation algorithm integrating visible color difference and canny edge detector to measure the boundary of the region. This method resolves the major inherent problem in JSEG caused by varying illumination using visible color difference and canny edge detector with JSEG segmented image. Experiments on natural color of Berkeley Segmentation Dataset are presented which show improved results in comparison with the classical JSEG and Fractal-JSEG algorithm.
Keywords :
edge detection; image colour analysis; image segmentation; Berkeley segmentation dataset; Canny edge detector; J value segmentation; JSEG color image segmentation algorithm; classical JSEG algorithm; fractal-JSEG algorithm; illumination variation; region boundary measurement; visible color difference; Color image segmentation; J value segmentation (JSEG); visible color difference (VCD);
Conference_Titel :
Computer and Information Technology (ICCIT), 2012 15th International Conference on
Conference_Location :
Chittagong
Print_ISBN :
978-1-4673-4833-1
DOI :
10.1109/ICCITechn.2012.6509727
