Towards Core Image Processing with Self-Organizing Maps
نویسندگان
چکیده
Artificial neural networks (ANNs) have found widespread application in human image processing systems, but often they play only a small part in a large complex process. We investigate the Self-Organizing Map or SOM, a particular type of unsupervised ANN, as a core image processing component, by applying the standard SOM to the common tasks of image quantisation, skin detection and feature location. We show that the SOM is at least as effective as standard techniques, and look towards using generic hardware, such as the parallel AXEON VindAX UHS Processor, to provide an inherently fast neural net based imaging system.
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