彩色图像分析与分割.pdf

Color Space Analysis and Color Image Segmentation

tion compactness and separation validity measure. Chang et
al (1994) [8] divides the color space into 8 cubes then
The problem that the color image processing is faced eliminates unpopulated cubes resulting a C < 8. Wu et al
with is a five dimensional (5-D) problem. 2-D is (1994) [9] and Littman & Ritter (1997) [10] use only two
geometrical and 3-D is chromatic. To extract information clusters. Uchiyama & Arbib (1994) [9] pre-selects C to
from a color image means that it has to be decomposed be 8.
into identifiable items using color image processing
techniques plus gray image processing techniques. Color B
segmentation is an important step in the decomposition
of a color image into less complicated component
images. Q Cyan
At hardware level, color images are usually captured,
stored and displayed using elementary R, G, B
component images. The color attributes of a color image Magenta White
pixel can be represented as a 3-D vector in the color
space as shown in Figure 1. Y
The color space distribution h(r,g,