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
X. Sun, R. Guo and Y. Wan, "Edge Detection System of Chinese Wines' Micrograph," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 244-249.