期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：7
出版社：Journal of Theoretical and Applied
摘要：Image edge detection is a core operation in image processing applications. Classical approaches make use of fixed neighborhood detectors, while recent research recommends the incorporation of scale factor in filter design to increase both the accuracy of classifying edge pixels, and to provide more flexibility in retrieving multilevel edge maps. Multifractal approach follows this trend of incorporating the scale in feature analysis, and it is widely used in image analysis and pattern recognition applications. However, very few researches explore the abilities of multifractals in image edge map generation due to its extensive computation time which is a major obstacle in this research area. Herein, we propose AD-MED; a fast multifractal edge detector based on anisotropic diffusion filter. The evaluation of the proposed edge detector was done first qualitatively by visual assessment. Second, quantitatively in terms of both the quality of the results and the execution time. Experimental simulation shows that AD-MED outperforms the well-known multifractal edge detectors in both terms.
