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ISBN: 978-0-7695-3507-4
pp: 244-249
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 filtering outputs are employed as the inputs of BPNN.
Edge detection; BPNN; Micrograph; Chinese wine; Gabor filter
Xingbo Sun, Rong Guo, Yi Wan, "Edge Detection System of Chinese Wines' Micrograph", CSIE, 2009, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 244-249, doi:10.1109/CSIE.2009.786
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