Accession Number : ADA313286

Title :   Physics-Based Segmentation: Looking Beyond Color.

Descriptive Note : Technical rept.,

Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA ROBOTICS INST

Personal Author(s) : Maxwell, Bruce A. ; Shafer, Steven A.

PDF Url : ADA313286

Report Date : 25 OCT 1995

Pagination or Media Count : 24

Abstract : We previously presented a framework for segmentation of complex scenes using multiple physical hypotheses for simple image regions. A consequence of that framework was a proposal for a new approach to the segmentation of complex scenes into regions corresponding to coherent surfaces rather than merely regions of similar color. Herein we present an implementation of this new approach and show example segmentations for scenes containing multi-colored piece-wise uniform objects. By using this new approach we are able to intelligently segment scenes with objects of greater complexity than previous physics-based segmentation algorithms. The results show that by using general physical models we can obtain segmentations that correspond more closely to objects in the scene than segmentations found using only color.

Descriptors :   *IMAGE PROCESSING, ALGORITHMS, TRANSFER FUNCTIONS, ANALYSIS OF VARIANCE, OPTICAL IMAGES, ILLUMINATION, PATTERN RECOGNITION, HYPOTHESES, REFLECTANCE, PIXELS, SEGMENTED.

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE