Histogram-based segmentation in a perceptually uniform color space

被引：87

作者：

Shafarenko, L ^{[1
]}

Petrou, M ^{[1
]}

Kittler, J ^{[1
]}

机构：

[1] Univ Surrey, Sch Elect Engn Informat Technol & Math, Guildford GU2 5XH, Surrey, England

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1998年 / 7卷 / 09期

基金：

英国工程与自然科学研究理事会;

关键词：

adaptive filters; image color analysis; image segmentation; morphological operations; noise;

D O I：

10.1109/83.709666

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work, we present a segmentation algorithm for color images that uses the watershed algorithm to segment either the two-dimensional (2-D) or the three-dimensional (3-D) color histogram of an image. For compliance with the way humans perceive color, this segmentation has to take place in a perceptually uniform color space like the Luv space, To avoid oversegmentation, the,watershed algorithm has to be applied to a smoothed histogram.

引用

页码：1354 / 1358

页数：5