An overview of morphological segmentation

被引：82

作者：

Meyer, F ^{[1
]}

机构：

[1] Ctr Morphol Math, F-77305 Fontainebleau, France

来源：

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2001年 / 15卷 / 07期

关键词：

segmentation; mathematical morphology; watershed; region adjacency graph; minimum spanning tree; ultrametric distance;

D O I：

10.1142/S0218001401001337

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Mathematical morphology offers a rich framework for segmenting images and video sequences, We propose a unified presentation of these tools, expressed as a small number of distance transforms on graphs. The classical approach based on watershed and markers is reinterpreted in a multiscale framework and new results are presented, considerably enlarging the palette of available tools.

引用

页码：1089 / 1118

页数：30

共 17 条

[1]

Beucher S., 1990, THESIS ENS MINES PAR

[2]

Beucher S., 2018, Mathematical morphology in image processing, P433, DOI DOI 10.1201/9781482277234-12

[3]

Gomila C, 2000, ANN TELECOMMUN, V55, P172

[4]

GRIMUND M, 1992, P SOC PHOTO-OPT INS, P292

[5]

Marcotegui B, 1997, ANN TELECOMMUN, V52, P408

[6]

Matheron G., 1997, NIVELLEMENTS

[7]

Meyer F, 1998, COMP IMAG VIS, V12, P199

[8]

Meyer F., 1990, Journal of Visual Communication and Image Representation, V1, P21, DOI 10.1016/1047-3203(90)90014-M

[9]

Meyer F., 1994, ISMM94 MATH MORPHOLO, P77

[10]

MEYER F, 1990, NT4690MM

← 1 2 →