Title :
Advances in color image segmentation
Author :
Lucchese, L. ; Mitra, S.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
fDate :
6/21/1905 12:00:00 AM
Abstract :
Segmentation is the low-level operation in image processing which partitions an image into disjoint and homogeneous regions. We consider segmentation of color images, a task which plays a very important role in many multimedia applications concerned with color information. In particular, we review the main contributions in this field in the past few years
Keywords :
feature extraction; image classification; image colour analysis; image segmentation; multimedia communication; algorithms; analogous classification schemes; color image segmentation; color information; disjoint regions; feature-space based techniques; homogeneous regions; image domain-based techniques; image processing; low-level operation; multimedia applications; physics-based techniques; Clouds; Clustering algorithms; Color; Colored noise; Image segmentation; Partitioning algorithms; Pixel; Tree graphs;
Conference_Titel :
Global Telecommunications Conference, 1999. GLOBECOM '99
Conference_Location :
Rio de Janeireo
Print_ISBN :
0-7803-5796-5
DOI :
10.1109/GLOCOM.1999.827563
