A Nonuniform Method for Extracting Attractive Structures From Images | IGI Global Scientific Publishing
Welcome to the InfoSci Platform
Reference Hub1
A Nonuniform Method for Extracting Attractive Structures From Images

A Nonuniform Method for Extracting Attractive Structures From Images

Yiyang Wang (School of Mathematical Sciences, Dalian University of Technology, Dalian, China), Zhiying Jiang (School of Software Technology, Dalian University of Technology, Dalian, China), and Zhixun Su (School of Mathematical Sciences, Dalian University of Technology, Dalian, China)
Copyright: © 2018 |Volume: 10 |Issue: 3 |Pages: 15
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781522543381|DOI: 10.4018/IJGHPC.2018070102
Cite Article Cite Article

MLA

Wang, Yiyang, et al. "A Nonuniform Method for Extracting Attractive Structures From Images." IJGHPC vol.10, no.3 2018: pp.14-28. https://doi.org/10.4018/IJGHPC.2018070102

APA

Wang, Y., Jiang, Z., & Su, Z. (2018). A Nonuniform Method for Extracting Attractive Structures From Images. International Journal of Grid and High Performance Computing (IJGHPC), 10(3), 14-28. https://doi.org/10.4018/IJGHPC.2018070102

Chicago

Wang, Yiyang, Zhiying Jiang, and Zhixun Su. "A Nonuniform Method for Extracting Attractive Structures From Images," International Journal of Grid and High Performance Computing (IJGHPC) 10, no.3: 14-28. https://doi.org/10.4018/IJGHPC.2018070102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This article describes how attractive structures are always correspond to objects of interest in human perception, thus extracting attractive structures is a fundamental problem in many image analysis tasks, which is of great practical importance. In this article, the authors propose a novel nonuniform method to maintain the attractive structures of images while removing their meaningless details. Different from the existing norm based operators that are a uniform method proposed on regular image grids, our nonuniform method is not limited to special type of datum and grid structure, which has better performance for image analysis tasks. Besides, a strategy based on proximal algorithms is put forward to obtain fast convergence in practice due to the nonconvex and nonsmooth property of the corresponding optimization. Though the model with our proposed nonuniform operator can be used for various applications, the authors chose the tasks of image smoothing and saliency detection to demonstrate the good performances of our nonuniform method and show its superiority against other state-of-the-art alternatives.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global Scientific Publishing bookstore.