Design and analysis of an information theoretic algorithm for vector-field segmentation

Ian B. Kerfoot; Yoram Bresler

doi:10.1117/12.146682

10 June 1993 Design and analysis of an information theoretic algorithm for vector-field segmentation

Ian B. Kerfoot, Yoram Bresler

Proceedings Volume 1904, Image Modeling; (1993) https://doi.org/10.1117/12.146682
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

We present several objective functions for vector field segmentation. Leclerc's MRF model is extended by the addition of information-theoretic penalties for regions and distinct means. Massively parallel optimization algorithms are presented. Standard methods of signal detection and estimation are used to develop a theoretical performance analysis, which quantitatively predicts the performance at realistic noise levels. Theoretical and experimental results agree fairly well.

Citation Download Citation

Ian B. Kerfoot and Yoram Bresler "Design and analysis of an information theoretic algorithm for vector-field segmentation", Proc. SPIE 1904, Image Modeling, (10 June 1993); https://doi.org/10.1117/12.146682

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