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• W2292931740 abstract "This paper describes a novel approach for edge detection of an image which is based on Ant Colony Optimization (ACO), Bi-Level histogram equalization and also Brightness Preserving Dynamic Fuzzy Histogram Equalization. The query image is taken in gray scale form and the Bi-Level Histogram Equalization is applied for enhancing the contrast of the image. This is done since the contrast enhancement gives the better distinction between the brightness of background and the foreground of objects especially in low contrast images. Then ACO is used for edge detection of a Bi-Level Histogram Equalized image. The performance of the proposed approach is demonstrated with the help of experimental results. The results show that our approach is better than other techniques." @default.
• W2292931740 created "2016-06-24" @default.
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• W2292931740 date "2012-01-01" @default.
• W2292931740 modified "2023-09-23" @default.
• W2292931740 title "Edge Detection of an Image based on Bi-Level Histogram Equalization and Ant Colony Optimization Technique" @default.
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