文章基本信息

标题：A SPHERICAL ELECTROSTATIC MODEL EDGE DETECTOR FOR OMNIDIRECTIONAL IMAGES
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作者：OMAR EL KADMIRI ; ZAKARIA EL KADMIRI ; LHOUSSAINE MASMOUDI 等
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：2013
卷号：51
期号：3
出版社：Journal of Theoretical and Applied
摘要：Recently, omnidirectional vision has become necessary and useful for many computer science applications, such as autonomous navigation, SLAM, video surveillance and conferencing. However the use of classical image processing tools for omnidirectional images without taking into account their special particularities leads to a lack of performance. This article presents a new gray level edge detector based on a spherical virtual electrostatic model more appropriate for omnidirectional images. Several experimental results are given to illustrate the potential of this non-gradient based approach on various images especially against noise. Confrontation to other classical methods is provided.
关键词：Edge detection; Omnidirectional images; Electrostatic charges model; Stereographic projection; Fram & Deutsch