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- Title
Multiple Gestalt principles-based graph for salient region detection.
- Authors
Zhang, Jinxia; Fang, Shixiong; Zhao, Haifeng; Liu, Guang-Hai; Wei, Haikun; Chen, Lihuan; Zhang, Kanjian
- Abstract
Recently, a number of graph-based approaches have been proposed to detect salient regions in images. Although the graph is essential for these approaches, the graph construction method has not been studied in much detail. We propose a graph construction method that makes better use of multiple Gestalt principles. Specifically, spatial proximity, color similarity, and texture similarity between image regions are employed to choose different edges of the graph. Furthermore, the confliction among multiple Gestalt principles is solved using a primal rank support vector machines algorithm to compute the edge weights. Our experimental results on various salient region detection databases with comparisons to representative approaches demonstrate that the proposed graph construction method helps to detect salient objects in images.
- Subjects
STREET gestalt completion test; IMAGE quality analysis; IMAGE processing; IMAGE recognition (Computer vision); COMPUTER graphics; IMAGE analysis
- Publication
Journal of Electronic Imaging, 2018, Vol 27, Issue 5, p1
- ISSN
1017-9909
- Publication type
Article
- DOI
10.1117/1.JEI.27.5.051227