Token-Based Optimized Correspondence Processing For The Segmentation Of Time-Varying Images

Dominique Moulet; Dominique Barba

doi:10.1117/12.970149

1 November 1989 Token-Based Optimized Correspondence Processing For The Segmentation Of Time-Varying Images

Dominique Moulet, Dominique Barba

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970149
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

This work deals with the improvement of a new method concerning the temporal following of spatial segmentation in images sequences. This is one of the keys for performing time-varying complex image analysis and movement interpretation. Our method connects along the time axis characteristic points derived from the different contours generated by the spatial segmentation. These points are time-linked together by a correspondence process which consists of 3 main phases : a prediction step, a matching process and a refinement phase.

Citation Download Citation

Dominique Moulet and Dominique Barba "Token-Based Optimized Correspondence Processing For The Segmentation Of Time-Varying Images", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970149

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