Segmentation engine: a real-time image segmentation subsystem

Byron E. Dom; Wolf-Ekkehard Blanz; Charles Cox; David Ashby Steele; Alan D. Dorundo

doi:10.1117/12.171223

11 March 1994 Segmentation engine: a real-time image segmentation subsystem

Byron E. Dom, Wolf-Ekkehard Blanz, Charles Cox, David Ashby Steele, Alan D. Dorundo

Proceedings Volume 2183, Machine Vision Applications in Industrial Inspection II; (1994) https://doi.org/10.1117/12.171223
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

This paper describes a system developed for segmenting multiband grayscale images into n-class labeled images at high-throughput rates. This system, which we refer to as the segmentation engine, performs supervised image segmentation using algorithms based on the statistical pattern recognition paradigm. So-called 'features' are computed for each pixel and the feature vector thus formed is presented to a statistical classifier, which uses feature information to determine the most probable class of the pixel. Algorithms are described for the following: features, automatic feature selection, classification and classifier training. While this paper describes the entire system, the algorithmic approach will be emphasized.

Citation Download Citation

Byron E. Dom, Wolf-Ekkehard Blanz, Charles Cox, David Ashby Steele, and Alan D. Dorundo "Segmentation engine: a real-time image segmentation subsystem", Proc. SPIE 2183, Machine Vision Applications in Industrial Inspection II, (11 March 1994); https://doi.org/10.1117/12.171223

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