Connectionist learning procedures
Artificial Intelligence
Generalization by weight-elimination with application to forecasting
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Quantitative evaluation of color image segmentation results
Pattern Recognition Letters
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Digital Image Processing
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive color segmentation-a comparison of neural and statistical methods
IEEE Transactions on Neural Networks
Automatic Diagnosis of the Footprint Pathologies Based on Neural Networks
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Automatic Diagnosis of Foot Plant Pathologies: A Neural Networks Approach
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
A Hierarchic Method for Footprint Segmentation Based on SOM
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
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The automatic detection of different foot’s diseases requires the analysis of a footprint, obtained from a digital image of the sole. This paper shows that optical monochromatic images are not suitable for footprint segmentation purposes, while color images provide enough information for carrying out an efficient segmentation. It is shown that a multiplayer perceptron trained with bayesian regularization backpropagation allows to adequately classify the pixels on the color image of the footprint and in this way, to segment the footprint without fingers. The footprint is improved by using a classical smoothing filter, and segmented by performing erosion and dilation operations. This result is very important for the development of a low cost system designed to diagnose pathologies related to the footprint form.