DocumentCode
3563622
Title
Color segmentation through independent anisotropic diffusion of complex chromaticity and lightness
Author
Lucchese, Luca ; Mitra, Sanjit K.
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
746
Abstract
This paper presents a nets technique based on anisotropic diffusion for segmenting color images. This operation is accomplished through two independent anisotropic diffusion processes: one involving only the chromatic information, conveniently embedded in a complex function, and the other affecting the lightness information. The results of the two diffusions are separately segmented and their combination allows the color image to be eventually partitioned. We report on some experimental results verifying the effectiveness of such a technique
Keywords
image colour analysis; image representation; image segmentation; pattern clustering; quantisation (signal); anisotropic diffusion; chromatic information; clustering; color image segmentation; color representation; complex chromaticity; complex function; independent anisotropic diffusion; independent anisotropic diffusion processes; lightness information; quantization; Anisotropic magnetoresistance; Clustering algorithms; Color; Filtering; Image processing; Image segmentation; Noise reduction; Smoothing methods; Solids;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.959153
Filename
959153
Link To Document