LVQ Neural Networks in Color Segmentation

LVQ Neural Networks in Color Segmentation

Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros, Marco Block
ISBN13: 9781615208937|ISBN10: 1615208933|ISBN13 Softcover: 9781616923310|EISBN13: 9781615208944
DOI: 10.4018/978-1-61520-893-7.ch004
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MLA

Cuevas, Erik, et al. "LVQ Neural Networks in Color Segmentation." Soft Computing Methods for Practical Environment Solutions: Techniques and Studies, edited by Marcos Gestal Pose and Daniel Rivero Cebrián, IGI Global, 2010, pp. 45-63. https://doi.org/10.4018/978-1-61520-893-7.ch004

APA

Cuevas, E., Zaldivar, D., Perez-Cisneros, M., & Block, M. (2010). LVQ Neural Networks in Color Segmentation. In M. Gestal Pose & D. Rivero Cebrián (Eds.), Soft Computing Methods for Practical Environment Solutions: Techniques and Studies (pp. 45-63). IGI Global. https://doi.org/10.4018/978-1-61520-893-7.ch004

Chicago

Cuevas, Erik, et al. "LVQ Neural Networks in Color Segmentation." In Soft Computing Methods for Practical Environment Solutions: Techniques and Studies, edited by Marcos Gestal Pose and Daniel Rivero Cebrián, 45-63. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-893-7.ch004

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Abstract

Segmentation in color images is a complex and challenging task in particular to overcome changes in light intensity caused by noise and shadowing. Most of the segmentation algorithms do not tolerate variations in color hue corresponding to the same object. By means of the Learning Vector Quantization (LVQ) networks, neighboring neurons are able to learn how to recognize close sections of the input space. Neighboring neurons would thus correspond to color regions illuminated in different ways. This chapter presents an image segmentator approach based on LVQ networks which considers the segmentation process as a color-based pixel classification. The segmentator operates directly upon the image pixels using the classification properties of the LVQ networks. The algorithm is effectively applied to process sampled images showing its capacity to satisfactorily segment color despite remarkable illumination differences.

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