Title :
Development of an image processing system for texture segmentation
Author :
King, S. ; Sarhadi, M.
Author_Institution :
Dept. of Manuf. & Eng. Syst., Brunel Univ., Uxbridge, UK
Abstract :
The development of a two-level machine vision system for the fast segmentation of textured images. A transputer network was used to realize the upper level, thus providing a powerful, expandable computing platform on which to execute intermediate and high-level vision algorithms. Low-level vision operations were delegated to a custom-developed pipeline card, permitting cost-effective, in-process execution of the required texture segmentation functions. The use of alternative data scans on the pipeline card further reduced hardware costs by allowing the decomposition of large moving average filters into one-dimensional filters performed orthogonally on the data set. This required fewer image processing ICs
Keywords :
computer vision; image segmentation; image texture; transputer systems; custom-developed pipeline card; high-level vision; image processing system; intermediate level vision; large moving average filters; low-level vision; one-dimensional filters; texture segmentation; transputer network; two-level machine vision system; Aerospace components; Convolution; Filters; Image processing; Image segmentation; Machine vision; Pipeline processing; Pulp manufacturing; Quality control; Systems engineering and theory;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236873