A Novel Salient Region Detection Method Based on Hierarchical Spatial Information. Issue 2 (1st March 2017)

• Record Type: Journal Article
• Authors: Liu, Shuo; Ding, Wenrui; Li, Hongguang; Li, Yingting
• Is Part Of: Chinese journal of electronics. Volume 26:Issue 2(2017)
• Page Start: 319
• Page End: 324
• Publication Date: 2017-03-01
• Subjects: Salient region detection -- Hierarchical spatial information -- Compactness -- Background possibility; object detection; salient region detection method -- hierarchical spatial information -- image abstraction -- pixel level spatial information -- "element level" spatial information -- "object level" spatial information; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2017.01.027
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : Different patterns in one object will cause unequal saliency degree which makes it hard to highlight the object region uniformly. We propose a salient region detection method which mainly includes image abstraction, saliency calculation and integration. Under the detection framework, the hierarchical spatial information is introduced to improve the performance. The image abstraction with "pixel level" spatial information is applied to capture some meaningful elements. The local contrast is calculated with the "element level" spatial information. The "object level" spatial information is represented as compactness and background possibility, which further help to better pop out the object region and suppress the background. The results show that our method has a good performance even though the object consists of complex patterns.