Home // COLLA 2016, The Sixth International Conference on Advanced Collaborative Networks, Systems and Applications // View article
SVM Methods in Image Segmentation
Authors:
Tian Chi Zhang
Jian Pei Zhang
Jing Yang
Jing Zhang
Keywords: visualization technique; image segmentation; SVM
Abstract:
Support Vector Machine (SVM) is playing an increasingly important role in image segmentation methods, especially, in the medical image processing. There are many modified methods based on SVM. In this paper, SVM methods, including modified SVM methods in medical image segmentation within the last five years are reviewed. A comparison and analysis among the papers is presented, and conclusions and future research framework are suggested with the aim of helping researchers to determine their own research framework, method and content.
Pages: 62 to 65
Copyright: Copyright (c) IARIA, 2016
Publication date: November 13, 2016
Published in: conference
ISSN: 2308-4227
ISBN: 978-1-61208-517-3
Location: Barcelona, Spain
Dates: from November 13, 2016 to November 17, 2016