19 October 1987 Boundary Detection In A Texture-Based Vision System
Author Affiliations +
Proceedings Volume 0856, IECON '87: Industrial Applications of Robotics & Machine Vision; (1987); doi: 10.1117/12.943025
Event: IECON, Cambridge, 1987, Cambridge, MA, United States
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. Hong, D. Brzakovie, A. Liakopoulos, "Boundary Detection In A Texture-Based Vision System", Proc. SPIE 0856, IECON '87: Industrial Applications of Robotics & Machine Vision, (19 October 1987); doi: 10.1117/12.943025; https://doi.org/10.1117/12.943025

Digital filtering



Image segmentation

Visual process modeling

Image analysis

Laser range finders


Use of Texture Operators in Segmentation
Proceedings of SPIE (April 05 1985)
Image Segmentation And Texture Analysis
Proceedings of SPIE (February 21 1980)
Multiresolution texture analysis of SAR images
Proceedings of SPIE (November 20 1998)
Stability analysis of multichannel linear-predictive systems
Proceedings of SPIE (September 01 1990)

Back to Top