On boundary pixels in seeded region growing segmentation

被引：1

作者：

Zhang, MS ^{[1
]}

Huang, J ^{[1
]}

Pawitanm, Y ^{[1
]}

机构：

[1] SW Univ Nationalities, Sch Econ & Management, Chengdu 610041, Peoples R China

来源：

PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES, PDCAT'2003, PROCEEDINGS | 2003年

关键词：

image analysis; region growing; segmentation; semiautomatic method;

D O I：

10.1109/PDCAT.2003.1236427

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Boundary pixels can have a subtle but serious impact on the performance of the seeded region growing algorithm [1], a fast semi-automatic algorithm for segmentation of intensity images. We have found, however, that as originally described the algorithm can fail if some sections of a connected segment is narrow. The failure results, for example, in a loss of details or an undue dependence of seed placement. The remedy is a careful processing of the boundary pixels. We here present an algorithm whose performance is not affected by such situation.

引用

页码：838 / 839

页数：2

共 50 条

[1] Texture segmentation with seeded region growing in feature space by integrating boundary information
Ozturk, Ali
Arslan, Ahmet
[J]. 2006 IEEE 14TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1 AND 2, 2006, : 1 - +
[2] Motion segmentation using seeded region growing
Beare, R
Talbot, H
[J]. MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO IMAGE AND SIGNAL PROCESSING, 2000, 18 : 215 - 222
[3] ITERATIVE SEEDED REGION GROWING FOR BRAIN TISSUE SEGMENTATION
Zhang, Ke
Wu, Fei
Sun, Junxiao
Yang, Guanyu
Shu, Huazhong
Kong, Youyong
[J]. 2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, : 886 - 890
[4] Fuzzy Based Seeded Region Growing for Image Segmentation
Kang, Chung-Chia
Wang, Wen-June
[J]. 2009 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, 2009, : 69 - 73
[5] Automatic seeded region growing for color image segmentation
Shih, FY
Cheng, SX
[J]. IMAGE AND VISION COMPUTING, 2005, 23 (10) : 877 - 886
[6] Image segmentation with complicated background by using seeded region growing
Kang, Chung-Chia
Wang, Wen-June
Kang, Chung-Hao
[J]. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2012, 66 (09) : 767 - 771
[7] Superpixels segmentation via growing minimum spanning trees and reassigning boundary pixels
Jin, Xudong
Gu, Yanfeng
[J]. PROCEEDINGS OF 2016 SIXTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2016), 2016, : 922 - 926
[8] Automatic Seeded Region Growing Image Segmentation for Medical Image Segmentation: A Brief Review
Shrivastava, Neeraj
Bharti, Jyoti
[J]. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2020, 20 (03)
[9] SEEDED REGION GROWING
ADAMS, R
BISCHOF, L
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1994, 16 (06) : 641 - 647
[10] Myocardial Segmentation Using Constrained Multi-Seeded Region Growing
Alattar, Mustafa A.
Osman, Nael F.
Fahmy, Ahmed S.
[J]. IMAGE ANALYSIS AND RECOGNITION, 2010, PT II, PROCEEDINGS, 2010, 6112 : 89 - 98

← 1 2 3 4 5 →