Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of pattern recognition & computer vision
Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-guided decision support system for pathology
Machine Vision and Applications
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
Shape-based features for cat ganglion retinal cells classification
Real-Time Imaging
Automatic Feature Selection for Biological Shape Classification in ?YNERGOS
SIBGRAPHI '98 Proceedings of the International Symposium on Computer Graphics, Image Processing, and Vision
Smoothed Local Symmetries and Their Implementation
Smoothed Local Symmetries and Their Implementation
On the algorithmic implementation of multiclass kernel-based vector machines
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A texture approach to leukocyte recognition
Real-Time Imaging - Special issue on imaging in bioinformatics: Part III
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
A Branch and Bound Algorithm for Feature Subset Selection
IEEE Transactions on Computers
Supervised parametric and non-parametric classification of chromosome images
Pattern Recognition
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Shape representation and recognition through morphological curvature scale spaces
IEEE Transactions on Image Processing
A method to generate artificial 2D shape contour based in fourier transform and genetic algorithms
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
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We describe an approach of automatic feature extraction for shape characterization of seven distinct species of Eimeria, a protozoan parasite of domestic fowl. We used digital images of oocysts, a round-shaped stage presenting inter-specific variability. Three groups of features were used: curvature characterization, size and symmetry, and internal structure quantification. Species discrimination was performed with a Bayesian classifier using Gaussian distribution. A database comprising 3891 micrographs was constructed and samples of each species were employed for the training process. The classifier presented an overall correct classification of 85.75%. Finally, we implemented a real-time diagnostic tool through a web interface, providing a remote diagnosis front-end.