0000000000388743

AUTHOR

Julia Sawaki Tanaka

showing 2 related works from this author

Shape-Based Features for Cat Ganglion Retinal Cells Classification

2002

This article presents a quantitative and objective approach to cat ganglion cell characterization and classification. The combination of several biologically relevant features such as diameter, eccentricity, fractal dimension, influence histogram, influence area, convex hull area, and convex hull diameter are derived from geometrical transforms and then processed by three different clustering methods (Ward’s hierarchical scheme, K-means and genetic algorithm), whose results are then combined by a voting strategy. These experiments indicate the superiority of some features and also suggest some possible biological implications.

Convex hullSettore INF/01 - InformaticaComputer sciencebusiness.industryFeature extractionPattern recognitionComputational geometryFractal dimensionbody regionsFractalHistogramSignal ProcessingGenetic algorithmComputer visionMedical imagingComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringCells classificationCluster analysisbusinessReal-Time Imaging
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Classification of cat ganglion retinal cells and implications for shape-function relationship

2002

This article presents a quantitative approach to ganglion cell classification by considering combinations of several geometrical features including fractal dimension, symmetry, diameter, eccentricity and convex hull. Special attention is given to moment and symmetry-based features. Several combinations of such features are fed to two clustering methods (Ward's hierarchical scheme and K-Means) and the respectively obtained classifications are compared. The results indicate the superiority of some features, also suggesting possible biological implications.

Convex hullContextual image classificationbusiness.industryk-means clusteringPattern recognitionComputational geometryFractal dimensionMoment (mathematics)CombinatoricsFractalArtificial intelligenceCluster analysisbusinessMathematicsProceedings 11th International Conference on Image Analysis and Processing
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