期刊
PATTERN RECOGNITION LETTERS
卷 30, 期 11, 页码 985-993出版社
ELSEVIER
DOI: 10.1016/j.patrec.2009.05.006
关键词
Contour detection; Computational model; Surround suppression; Collinear facilitation
资金
- National High Technology Research and Development Program (863 Program) of China [2009AA12Z210]
- National Natural Science Foundation of China [60703108, 60703107, 60803098]
- Provincial Natural Science Foundation of Shaanxi of China [20071732]
- China Postdoctoral Science Foundation [20080431228]
- China Postdoctoral Science Foundation Special [200801426]
- Program for Cheung Kong Scholars and Innovative Research Team in University [IRT0645]
A computational model, inspired by visual cortical mechanisms of contextual modulation, is presented in this paper, and is applied to detect perceptually salient contours. The presented model incorporates two mechanisms of contextual modulation, Surround suppression and collinear facilitation. An oriented filterbank generated by Gaussian derivatives and their Hilbert transform is proposed for pre-processing. The operators of surround suppression and collinear facilitation are applied to the orientation energy resulting from the outputs of oriented filterbank. To avoid augmenting the noise when the facilitation operator enhances the saliency parts, we employ a contrast enhancement transformation for the facilitation operator. For drawing the binary contours, we present an automatic thresholding approach for post-processing. The performance of our model is tested by artificial images with heavy noise and nature images with texture background. Results show that the model has a good performance on extracting the salient contours from images. (C) 2009 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据