A Hybrid Color Distance for Image Segmentation

被引：0

作者：

Moreno, R. ^{[1
]}

Grana, M. ^{[1
]}

d'Anjou, A. ^{[1
]}

机构：

[1] Univ Basque Country, Computat Intelligence Grp, E-48080 Bilbao, Spain

来源：

HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PART II | 2011年 / 6679卷

关键词：

Hybrid color distance; Spherical coordinates; Dichromatic reflection model; Image segmentation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Our hybrid color distance is inspired in the human vision system, simulating the sensitivity to intensity and chromaticity of the the retina's cells: cones and rods. This approach provides excellent edge detection and is the core of our method. The segmentation output depends on the hybrid distance parameters, whose values define the segmentation method balance between intensity and chromaticity preference.

引用

页码：447 / 454

页数：8

共 12 条

[1] Orthogonal variant moments features in image analysis [J].

Antonio Martin H, Jose ;

Santos, Matilde ;

de Lope, Javier .

INFORMATION SCIENCES, 2010, 180 (06) :846-860

[2] On the potential contributions of hybrid intelligent approaches to Multicomponent Robotic System development [J].

Duro, R. J. ;

Grana, M. ;

de Lope, J. .

INFORMATION SCIENCES, 2010, 180 (14) :2635-2648

[3] A SURVEY ON IMAGE SEGMENTATION [J].

FU, KS ;

MUI, JK .

PATTERN RECOGNITION, 1981, 13 (01) :3-16

[4] Watershed segmentation using prior shape and appearance knowledge [J].

Hamarneh, Ghassan ;

Li, Xiaoxing .

IMAGE AND VISION COMPUTING, 2009, 27 (1-2) :59-68

[5] Color image segmentation using morphological clustering and fusion with automatic scale selection [J].

Lezoray, O. ;

Charrier, C. .

PATTERN RECOGNITION LETTERS, 2009, 30 (04) :397-406

[6]

Martin D, 2001, EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL II, PROCEEDINGS, P416, DOI 10.1109/ICCV.2001.937655

[7]

Mileva Y, 2007, LECT NOTES COMPUT SC, V4713, P152

[8] RGB colour gradient following colour constancy preservation [J].

Moreno, R. ;

Grana, M. ;

Zulueta, E. .

ELECTRONICS LETTERS, 2010, 46 (13) :908-U58

[9] An improved watershed algorithm based on efficient computation of shortest paths [J].

Osma-Ruiz, Victor ;

Godino-Llorente, Juan I. ;

Saenz-Lechon, Nicolas ;

Gomez-Vilda, Pedro .

PATTERN RECOGNITION, 2007, 40 (03) :1078-1090

[10] A REVIEW ON IMAGE SEGMENTATION TECHNIQUES [J].

PAL, NR ;

PAL, SK .

PATTERN RECOGNITION, 1993, 26 (09) :1277-1294

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