title: Salient target detection based on pseudo-Wigner-Ville distribution and Rényi entropy.
abstract: We present what we believe to be a novel method based on pseudo-Wigner-Ville distribution (PWVD) and Rényi entropy for salient targets detection. In the foundation of studying the statistical property of Rényi entropy via PWVD, the residual entropy-based saliency map of an input image can be obtained. From the saliency map, target detection is completed by the simple and convenient threshold segmentation. Experimental results demonstrate the proposed method can detect targets effectively in complex ground scenes.
authors.affiliation: Department of Physics, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Yuannan
authors.initials: Y
authors.lastname: Xu
authors.forename: Yuan
authors.initials: Y
authors.lastname: Zhao
authors.forename: Chenfei
authors.initials: C
authors.lastname: Jin
authors.forename: Zengfeng
authors.initials: Z
authors.lastname: Qu
authors.forename: Liping
authors.initials: L
authors.lastname: Liu
authors.forename: Xiudong
authors.initials: X
authors.lastname: Sun
mesh_terms: D019277:Entropy; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D011336:Probability