Quantitative evaluation of color image segmentation results

被引：244
作者：
Borsotti, M
Campadelli, P
Schettini, R
机构：
[1] CNR, Ist Tecnol Informat Multimediali, I-20131 Milan, Italy
[2] Univ Milan, Dipartimento Sci Informaz, Milan, Italy
来源：
PATTERN RECOGNITION LETTERS | 1998年 / 19卷 / 08期
关键词：
color image segmentation; segmentation evaluation; segmentation algorithms comparison;
D O I：
10.1016/S0167-8655(98)00052-X
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 paper we consider the problem of the automatic evaluation of the results of color image segmentation. Liu and Yang (1994) have proposed an evaluation function, inspired by the qualitative criteria for good image segmentation established by Haralick and Shapiro (1985), that does not require that the user set any parameter or threshold value. We identify some limitations in this evaluation function, and propose two enhanced functions that correspond more closely to visual judgment. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：741 / 747
页数：7
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