Affinity Based Seeded Region Growing Algorithm For Medical Image Segmentation

被引：0

作者：

Nagaraju, S. ^{[1
]}

Kashyap, Manish ^{[1
]}

Kumar, Sandeep ^{[1
]}

Bhattacharya, Mahua ^{[1
]}

机构：

[1] Indian Inst Informat Technol & Management, Dept ICT, Delhi, India

来源：

2015 INTERNATIONAL CONFERENCE ON COMPUTING AND NETWORK COMMUNICATIONS (COCONET) | 2015年

关键词：

affinity; region growing; image segmentation; seed pixel; MEANS CLUSTERING-ALGORITHM; MRI;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We present seeded region growing algorithm using notion of 'affinity' as region growth mechanism for segmentation of medical images. Affinity between pair of pixels captures the idea of nearness in location and similarity between their gray scale values. Affinity has the capability to separate different segments of the images depending upon its functional definition. Our experiments reveal that when seeded region growing is used with affinity as the measure of similarity the segmentation is better than traditional methods.

引用

页码：725 / 730

页数：6

共 50 条

[1] 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)
[2] 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
[3] Pyramidal seeded region growing algorithm and its use in image segmentation
Tomori, Z
Marcin, J
Vilim, P
[J]. COMPUTER ANALYSIS OF IMAGES AND PATTERNS, 1999, 1689 : 395 - 402
[4] COMPARATIVE STUDY OF COLOR IMAGE SEGMENTATION BY THE SEEDED REGION GROWING ALGORITHM
Charifi, Rajaa
Essbai, Najia
Mansouri, Anass
Zennayi, Yahya
[J]. 2018 IEEE 5TH INTERNATIONAL CONGRESS ON INFORMATION SCIENCE AND TECHNOLOGY (IEEE CIST'18), 2018, : 279 - 284
[5] An adaptive region growing algorithm in medical image segmentation
Pan, ZG
Lu, JF
Lin, H
[J]. CYBERPSYCHOLOGY & BEHAVIOR, 2005, 8 (04): : 345 - 346
[6] Rough Set and Multi-thresholds based Seeded Region Growing Algorithm for Image Segmentation
Anithadevi, D.
Perumal, K.
[J]. ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2017, 2018, 668 : 369 - 379
[7] A New Image Segmentation Algorithm Based on Modified Seeded Region Growing and Particle Swarm Optimization
Mirghasemi, Saeed
Rayudu, Ramesh
Zhang, Mengjie
[J]. PROCEEDINGS OF 2013 28TH INTERNATIONAL CONFERENCE ON IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ 2013), 2013, : 382 - 387
[8] Medical image segmentation using 3-D seeded region growing
Justice, RK
Stokely, EM
Strobel, JS
Ideker, RE
Smith, WM
[J]. IMAGE PROCESSING - MEDICAL IMAGING 1997, PTS 1 AND 2, 1997, 3034 : 900 - 910
[9] A medical image segmentation algorithm based on bi-directional region growing
Zhang, Xiaoli
Li, Xiongfei
Feng, Yuncong
[J]. OPTIK, 2015, 126 (20): : 2398 - 2404
[10] A Bayes-based region-growing algorithm for medical image segmentation
Pan, Zhigeng
Lu, Jianfeng
[J]. COMPUTING IN SCIENCE & ENGINEERING, 2007, 9 (04) : 32 - 38

← 1 2 3 4 5 →