Bounded gray-level morphology and its applications to image representation

被引：3
作者：
Wang, DM [1 ]
Ronsin, J [1 ]
机构：
[1] INST NATL SCI APPL,LAB AUTOMAT,EQUIPE IMAGE,RENNES,FRANCE
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 1996年 / 5卷 / 06期
关键词：
D O I：
10.1109/83.503922
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Morphological skeletonization and decomposition are two well-known schemes for binary image representation, but they are not compact for gray-level images. In this correspondence, bounded gray-level morphology is used to improve their performances for gray-level image representation. Experimental results show that bounded gray-level morphology efficiently reduces the number of skeleton points and the entropy of morphological decomposition.
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收藏
页码：1067 / 1073
页数：7
相关论文
共 10 条
[1]   IMAGE-ANALYSIS USING MATHEMATICAL MORPHOLOGY [J].
HARALICK, RM ;
STERNBERG, SR ;
ZHUANG, XH .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1987, 9 (04) :532-550
[2]   THEORETICAL ASPECTS OF GRAY-LEVEL MORPHOLOGY [J].
HEIJMANS, HJAM .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1991, 13 (06) :568-582
[3]   PATTERN SPECTRUM AND MULTISCALE SHAPE REPRESENTATION [J].
MARAGOS, P .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1989, 11 (07) :701-716
[4]   MORPHOLOGICAL SKELETON REPRESENTATION AND CODING OF BINARY IMAGES [J].
MARAGOS, PA ;
SCHAFER, RW .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1986, 34 (05) :1228-1244
[5]   RANGE IMAGE-ANALYSIS BY USING MORPHOLOGICAL SIGNAL DECOMPOSITION [J].
PITAS, I ;
MAGLARA, A .
PATTERN RECOGNITION, 1991, 24 (02) :165-181
[6]   MORPHOLOGICAL SHAPE DECOMPOSITION [J].
PITAS, I ;
VENETSANOPOULOS, AN .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1990, 12 (01) :38-45
[7]  
Serra J., 1982, Image Analysis and Mathematical Morphology
[8]  
Serra J., 1988, IMAGE ANAL MATH MORP
[9]  
WANG D, 1993, J VIS COMMUN IMAGE R, V4, P197
[10]  
WANG D, 1994, BOUNDED GRAY LEVEL M
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