Parallel distributed algorithm for texture boundary localization

Stephan D. Yhann; Tzay S. Young

doi:10.1117/12.130841

16 December 1992 Parallel distributed algorithm for texture boundary localization

Stephan D. Yhann, Tzay S. Young

Proceedings Volume 1766, Neural and Stochastic Methods in Image and Signal Processing; (1992) https://doi.org/10.1117/12.130841
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

In most instances the boundaries between textured regions are defined by the gray level contrasts which result from the local interaction between the texture elements in each region. In such cases, the boundaries can be accurately characterized by gray level edge segments. Using these edge segments to localize the texture boundary directly addresses the major problem associated with texture segmentation, namely the localization verses classification accuracy conflict. The accuracy of segmentation methods which rely only on spatially distributed properties to characterize the texture, is limited to the spacial extent of the property used. In contrast, gray level edges are significantly more localized. However, before they can be of any use, the gray level edge segments defining the texture boundary must be isolated from the edges defining the texture elements. In this paper, we define a set of properties to do this. We also incorporate these properties into a parallel distributed algorithm which is used to segment a set of sample texture images.

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Stephan D. Yhann and Tzay S. Young "Parallel distributed algorithm for texture boundary localization", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); https://doi.org/10.1117/12.130841

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KEYWORDS

Image segmentation

Neurons

Signal processing

Lawrencium

Stochastic processes

Image classification

Image processing

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