Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Computation
Complex Diffusion Processes for Image Filtering
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
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
A robust footprint detection using color images and neural networks
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
IEEE Transactions on Image Processing
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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Some foot plant diseases such as flat foot and cave foot are usually diagnosed by a human expert. In this paper we propose an original method to diagnose these diseases by using optical color foot plant images. A number of modern image processing and pattern recognition techniques have been employed to configure a system that can dramatically decrease the time in which such analysis are performed, besides delivering robust and reliable results to complement efficiently the specialist's task. Our results demonstrate the feasibility of building such automatic diagnosis systems that can be used as massive first screening methods for detecting foot plant pathologies.