A method for interactive shape detection in cattle images using genetic algorithms

Authors:
Horacio M. González-Velasco;Carlos J. García-Orellana;Miguel Macías-Macías;Ramón Gallardo-Caballero;Fernando J. Álvarez-Franco
Affiliations:
CAPI Research Group, University of Extremadura, Politechnic School, Cáceres, Spain;CAPI Research Group, University of Extremadura, Politechnic School, Cáceres, Spain;CAPI Research Group, University of Extremadura, Politechnic School, Cáceres, Spain;CAPI Research Group, University of Extremadura, Politechnic School, Cáceres, Spain;CAPI Research Group, University of Extremadura, Politechnic School, Cáceres, Spain
Venue:
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Year:
2007

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Abstract

Segmentation methods based on deformable models have proved to be successful with difficult images, particularly those using genetic algorithms to minimize the energy function. Nevertheless, they are normally conceived as fully automatic, and not always generate satisfactory results. In this work, a method to include the information of fixed points whithin a contour detection system using point distribution models and genetic algorithms is presented. Also, an interactive scheme is proposed to take advantage of this technique. The method has been tested against a database of 93 cattle images, with a significant improvement in the success rate of the detections, from 61% up to 95%.