24 November 1999 Adaptive fuzzy approach to edge detection
Author Affiliations +
Abstract
Biological visual information processing can be divided into two processing levels: low level and high level.Low level visual processing includes several elementary operations allowing a reduction of the large amount of data present in a scene and from this recovering useful information at a higher level. An important operation is edge detection, which consists of image segmentation and consequent higher level processing for pattern classification and object recognition. Approaches to the edge detection problem vary from histogram based thresholding to biologically motivated gradient operators and discriminant functions. They provide edge detection of given images with various fidelities and at different computational expenses.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Petr Musilek, Petr Musilek, Madan M. Gupta, Madan M. Gupta, Gregory J. Schmidt, Gregory J. Schmidt, } "Adaptive fuzzy approach to edge detection", Proc. SPIE 3832, Sensors and Controls for Intelligent Machining and Manufacturing Mechatronics, (24 November 1999); doi: 10.1117/12.371167; https://doi.org/10.1117/12.371167
PROCEEDINGS
11 PAGES


SHARE
Back to Top