Algorithm Development For Autonomous Image Analysis, Based On Mathematical Morphology

Fang-Kuo Sun; Steven L. Rubin

doi:10.1117/12.976508

13 October 1987 Algorithm Development For Autonomous Image Analysis, Based On Mathematical Morphology

Fang-Kuo Sun, Steven L. Rubin

Proceedings Volume 0845, Visual Communications and Image Processing II; (1987) https://doi.org/10.1117/12.976508
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

Abstract

In this paper, applications of mathematical morphology to various image analysis tasks for autonomous image analysis, based on a morphological image analysis system implemented on Alliant FX8 computer at TASC, are discussed. The basic concept of the theory of mathematical morphology is briefly described. Simple examples are given to provide further insights into this theory. Some high-level algorithms for edge detection, noise cleaning and sharpening are investigated. Two new concepts, restricted dilation and erosion and pattern spectrum for target enhancement and detection are presented. The analogy between the role of pattern spectrum in shape analysis and that of Fourier power spectrum in signal analysis is explored.

Citation Download Citation

Fang-Kuo Sun and Steven L. Rubin "Algorithm Development For Autonomous Image Analysis, Based On Mathematical Morphology", Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); https://doi.org/10.1117/12.976508

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