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• W2072229424 abstract "Automatic edge detection of an image is considered atype of crucial information that can be extracted by applying detectors withdifferent techniques. It is a main tool in pattern recognition, imagesegmentation, and scene analysis. This paper introduces an edge-detection algorithm, which generates multi-threshold values. It is based on non-Shannonmeasures such as Havrda &Charvat’s entropy, which is commonly used in gray level image analysis in manytypes of images such as satellite grayscale images. The proposed edge detectionperformance is compared to the previous classic methods, such as Roberts,Prewitt, and Sobel methods. Numerical results underline the robustness of thepresented approach and different applications are shown." @default.
• W2072229424 created "2016-06-24" @default.
• W2072229424 creator A5069653795 @default.
• W2072229424 creator A5087200171 @default.
• W2072229424 date "2014-01-01" @default.
• W2072229424 modified "2023-09-26" @default.
• W2072229424 title "Multi-Threshold Algorithm Based on Havrda and Charvat Entropy for Edge Detection in Satellite Grayscale Images" @default.
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• W2072229424 doi "https://doi.org/10.4236/jsea.2014.71005" @default.
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