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- W2100760039 abstract "The edge detection of the images is so important for image processing. There are different methods for improving edge detection. In the present work, a neural networks based system for edge extraction of Chinese wines’ micrographs is presented. Back Propagation Neural Network (BPNN) with an improved activation function employing four adjustable parameters is used. Multi-scale mathematical morphological edge detector is a teacher of the neural network. A bank of Gabor filters at different scales and orientations is used, and the resultant Gabor ?ltering outputs are employed as the inputs of BPNN." @default.
- W2100760039 created "2016-06-24" @default.
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- W2100760039 date "2009-03-01" @default.
- W2100760039 modified "2023-09-25" @default.
- W2100760039 title "Edge Detection System of Chinese Wines' Micrograph" @default.
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- W2100760039 doi "https://doi.org/10.1109/csie.2009.786" @default.
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