Statistical classification using a linear mixture of two multinormal probability densities
Pattern Recognition Letters
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Abnormality Detection in Automated Mass Screening System of Diabetic Retinopathy
CBMS '01 Proceedings of the Fourteenth IEEE Symposium on Computer-Based Medical Systems
Design and Implementation of a Calibrated Store and Forward Imaging System for Teledermatology
Journal of Medical Systems
Skin Segmentation Using Color Pixel Classification: Analysis and Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Projection Pursuit Algorithm for Exploratory Data Analysis
IEEE Transactions on Computers
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
Color device calibration: a mathematical formulation
IEEE Transactions on Image Processing
Haar-like features with optimally weighted rectangles for rapid object detection
Pattern Recognition
Kernel fisher discriminant and elliptic shape model for automatic measurement of allergic reactions
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Machine Vision and Applications
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In this work, an integrated imaging system to obtain accurate and reproducible multi-spectral images and a novel multi-spectral image segmentation algorithm are proposed. The system collects up to 20 different spectral bands within a range that vary from 395nm to 970nm. The system is designed to acquire geometrically and chromatically corrected images in homogeneous and diffuse illumination, so images can be compared over time. The proposed segmentation algorithm combines the information provided by all the spectral bands to segment the different regions of interest. Three experiments are conducted to show the ability of the system to acquire highly precise, reproducible and standardized multi-spectral images and to show its applicabilities in different situations.