A MULTIPHASE REGION-BASED FRAMEWORK FOR IMAGE SEGMENTATION BASED ON LEAST SQUARE METHOD

被引：0

作者：

Chen, G. ^{[1
]}

Meng, Xin ^{[1
]}

Hu, T. ^{[1
]}

Guo, X. Y. ^{[1
]}

Liu, Li-xiong ^{[2
]}

Zhang, Haiying ^{[3
]}

机构：

[1] Chinese Acad Sci, Ctr Space Sci & Appl Res, Beijing, Peoples R China

[2] Beijing Inst Tech, Sch Comp Sci, Beijing, Peoples R China

[3] Chinese Acad Sci, Inst Remote Sensing, Beijing 100864, Peoples R China

来源：

2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年

关键词：

image segmentation; least mean square methods; LEVEL SET APPROACH; ACTIVE CONTOURS; SNAKES; MODEL;

D O I：

10.1109/ICIP.2009.5413829

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a multiphase region-based framework for image segmentation using Least Square Method, by piecewise constant optimal approximations. The basic idea of our model is to build up a minimum error functional by approximating n sub-regions of the original image with n constants respectively. The main contribution of our method is that we introduce weighting matrixes into the region-based model, which can enhance the weight of the specific region while reducing the influence from other regions. Moreover, our method can fast converge, and segment a given image into arbitrary regions under least squares and iterative algorithm. Experimental results show the advantages of our method in terms of accuracy and efficiency in image segmentation.

引用

页码：4009 / +

页数：2

共 13 条

[1] Brox T, 2004, LECT NOTES COMPUT SC, V3175, P415
[2] Geodesic active contours
Caselles, V
Kimmel, R
Sapiro, G
[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1997, 22 (01) : 61 - 79
[3] Active contours without edges
Chan, TF
Vese, LA
[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2001, 10 (02) : 266 - 277
[4] A multiphase dynamic labeling model for variational recognition-driven image segmentation
Cremers, D
Sochen, N
Schnörr, C
[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2006, 66 (01) : 67 - 81
[5] SNAKES - ACTIVE CONTOUR MODELS
KASS, M
WITKIN, A
TERZOPOULOS, D
[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1987, 1 (04) : 321 - 331
[6] LANKTON S, 2008, IEEE T IMAG PROC, V17
[7] SHAPE MODELING WITH FRONT PROPAGATION - A LEVEL SET APPROACH
MALLADI, R
SETHIAN, JA
VEMURI, BC
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1995, 17 (02) : 158 - 175
[8] OPTIMAL APPROXIMATIONS BY PIECEWISE SMOOTH FUNCTIONS AND ASSOCIATED VARIATIONAL-PROBLEMS
MUMFORD, D
SHAH, J
[J]. COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 1989, 42 (05) : 577 - 685
[9] FRONTS PROPAGATING WITH CURVATURE-DEPENDENT SPEED - ALGORITHMS BASED ON HAMILTON-JACOBI FORMULATIONS
OSHER, S
SETHIAN, JA
[J]. JOURNAL OF COMPUTATIONAL PHYSICS, 1988, 79 (01) : 12 - 49
[10] A multiphase level set framework for image segmentation using the Mumford and Shah model
Vese, LA
Chan, TF
[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2002, 50 (03) : 271 - 293

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