title: Automatic foreground extraction based on difference of Gaussian.
abstract: A novel algorithm for automatic foreground extraction based on difference of Gaussian (DoG) is presented. In our algorithm, DoG is employed to find the candidate keypoints of an input image in different color layers. Then, a keypoints filter algorithm is proposed to get the keypoints by removing the pseudo-keypoints and rebuilding the important keypoints. Finally, Normalized cut (Ncut) is used to segment an image into several regions and locate the foreground with the number of keypoints in each region. Experiments on the given image data set demonstrate the effectiveness of our algorithm.
authors.affiliation: Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors.forename: Yubo
authors.initials: Y
authors.lastname: Yuan
authors.affiliation: Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors.forename: Yun
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors.forename: Guanghui
authors.initials: G
authors.lastname: Dai
authors.affiliation: Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China ; State Key Lab for Novel Software Technology, Nanjing University, Nanjing 210093, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors.forename: Zhihua
authors.initials: Z
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D007091:Image Processing, Computer-Assisted / Q000379:methods*