Linear Feature Enhancement Using Directional Filtering and Neural System
Recognizing linear information in some selective directions is required sometimes in image processing. Directional filters can be made in some specific directions so that the interested linear features in these directions are enhanced. Traditionally the results of directional filtering in these directions are presented in separate images, which is inefficient in revealing the relationships between linear features in these directions. In this paper, we propose a new approach that uses a neural system to coordinate all the results from directional filtering in several directions to produce an integrated image that presents the enhanced linear features in one or more of these directions. The synthetic and real examples presented in this paper prove that the combination of neural system and directional filtering is useful for linear feature enhancement.
Dongguang Li Wanwu Guo Anthony Watson
School of Computer and Information Science Edith Cowan University 2 Bradford Street, Mount Lawley Western Australia 6050, Australia
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
535-538
2001-11-14(万方平台首次上网日期,不代表论文的发表时间)