Boundary Detection In A Texture-Based Vision System

L. Hong; D. Brzakovie; A. Liakopoulos

doi:10.1117/12.943025

19 October 1987 Boundary Detection In A Texture-Based Vision System

L. Hong, D. Brzakovie, A. Liakopoulos

Proceedings Volume 0856, IECON '87: Industrial Applications of Robotics & Machine Vision; (1987) https://doi.org/10.1117/12.943025
Event: IECON, Cambridge, 1987, Cambridge, MA, United States

Abstract

A new method for boundary estimation in textured images is described in this paper. This method aims at segmentation of images that contain 3-dimensional textured scenes. The essence of the method is estimation of boundaries between regions in an image, that contain homogeneous texture, us-ing a linear recursive filter and a random search procedure. Boundaries are modeled by the cubic B-spline functions and the measurement model employs the measures of inertia and energy calculated from co-occurrence matrices. The results obtained are very satisfactory. The method is an integral part of a 3-dimensional vision system that determines dis-tances to various obstacles placed on textured surfaces.

Citation Download Citation

L. Hong, D. Brzakovie, and A. Liakopoulos "Boundary Detection In A Texture-Based Vision System", Proc. SPIE 0856, IECON '87: Industrial Applications of Robotics & Machine Vision, (19 October 1987); https://doi.org/10.1117/12.943025

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