Supervised pixel classification using a feature space derived from an artificial visual system

Lisa C. Baxter; James M. Coggins

doi:10.1117/12.25176

1 February 1991 Supervised pixel classification using a feature space derived from an artificial visual system

Lisa C. Baxter, James M. Coggins

Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25176
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

Image segmentation involves labelling pixels according to their membership in image regions. This requires that we understand what a region is. Using supervised pixel classification, we investigate how groups of pixels labelled manually according to perceived image semantics map onto the feature space created by an Artificial Visual System. We investigate multiscale structure of regions and show that pixels form clusters based on their geometric roles in the image intensity function, not by image semantics. A tentative abstract definition of a "region" is proposed based on this behavior.

Citation Download Citation

Lisa C. Baxter and James M. Coggins "Supervised pixel classification using a feature space derived from an artificial visual system", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25176

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