Stochastic recognition of closed object boundaries in images

Jeffrey D. Helterbrand; Noel A. C. Cressie

doi:10.1117/12.146664

23 June 1993 Stochastic recognition of closed object boundaries in images

Jeffrey D. Helterbrand, Noel A. C. Cressie

Proceedings Volume 2030, Image Algebra and Morphological Image Processing IV; (1993) https://doi.org/10.1117/12.146664
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

Engineering-based edge detection techniques generally use local intensity information to identify whether a pixel location is part of a boundary. Boundaries are presumed present where sharp transitions in the observed intensities occur. Unfortunately, these approaches are sensitive to error and hidden partial boundaries, which hinder the determination of closed object boundaries. In this research, a method to obtain statistically optimal closed object boundaries is presented.

Citation Download Citation

Jeffrey D. Helterbrand and Noel A. C. Cressie "Stochastic recognition of closed object boundaries in images", Proc. SPIE 2030, Image Algebra and Morphological Image Processing IV, (23 June 1993); https://doi.org/10.1117/12.146664

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