Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.786
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", Computer Science and Information Engineering, World Congress on, vol. 06, no. , pp. 244-249, 2009, doi:10.1109/CSIE.2009.786