๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Knowledge-based assistant for the selection of edge detectors

โœ Scribed by D. Ziou; A. Koukam


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
344 KB
Volume
31
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.

โœฆ Synopsis


This paper summarizes a system, called SED ''Selection of Edge Detectors'', which is able to automatically select edge detectors and their scales to extract a given edge. The basic organization of the SED system is a collection of edge detectors within a knowledge structure made up of the characteristics of the given edge, the properties of the detectors and the mutual relation between them. Combination of this information in the selection process provides a basis for avoiding a combinatorial search for appropriate edge detectors. The version of the system described here has been fully implemented and is now being enriched to integrate a maximum of edge detector algorithms. We illustrate our approach by an example.


๐Ÿ“œ SIMILAR VOLUMES


Knowledge based control: Selecting the r
โœ R. Leitch ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› Elsevier Science โš– 717 KB

We propose a classification of system models in terms of their knowledge classes and characteristics, and relate these to existing approaches to the use of AI methods in Control. Such an classification is a necessary precursor to developing a methodological approach to identifying the most appropria