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- W2055543731 abstract "In the fields of computer vision and image processing, edge detection refers to the identification and localization of significant changes in a digital image. This article presents a survey of widely-used edge detection techniques including linear approaches, morpohlogical operations, multi-resolution analysis, and machine learning methods. Since there exists no single method that is applicable in all situations, different methods are deployed for different applications. A hierarchical framework based on multiple criteria has been proposed here that can facilitate the process of selecting the most appropriate edge detection method in a given scenario. Use of the proposed framework has been explained through an example of medical images. Finally, possible areas for further exploration have been highlighted." @default.
- W2055543731 created "2016-06-24" @default.
- W2055543731 creator A5024786684 @default.
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- W2055543731 date "2013-10-01" @default.
- W2055543731 modified "2023-09-25" @default.
- W2055543731 title "A Framework to Select Edge Detection Method Using Multi-criteria Decision Making" @default.
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- W2055543731 doi "https://doi.org/10.1109/smc.2013.129" @default.
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