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

1 February 1991

proceedings article
Published by SPIE-Intl Soc Optical Eng

Vol. 1381, 459-470
https://doi.org/10.1117/12.25176

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.

Keywords

PIXELS
VISUAL SYSTEM
PATTERN RECOGNITION
IMAGE SEGMENTATION
ARTIFICIAL INTELLIGENT
FEATURE SPACE
COMPUTER VISION
ARTIFICIAL INTELLIGENCE
IMAGE PROCESSING

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