Linear Feature Enhancement Using Directional Filtering and Neural System
Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Information Science
RAS ID
1898
Abstract
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.
DOI
10.1109/ICII.2001.982770
Comments
Li, D., Guo, W., & Watson, A. C. (2001). Linear feature enhancement using directional filtering and neural system. Proceedings of 2001 International Conferences on Info-Tech and Info-Net. ICII. (pp. 342-345). Piscataway, New Jersey: IEEE. Available here