By Topic

A computer vision system for automatic knowledge-based configuration of the image processing and hierarchical object recognition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Vu, A.S. ; Dept. of Comput. Sci., Tech. Univ. Munchen, Germany

In this paper a computer vision system is described which configures automatically programs for image processing and supports the recognition of objects. The system runs in two phases. In the first phase based on the primitives (curved edges, corners etc.) and the explicit specification of the content of the image given by the user a sequence of operators will be generated and all their free parameters will be computed adaptively. In this phase the system uses a rule base composed of knowledge of visual processing operators, their parameters, and their interdependence. In the second phase a hierarchical object model is formulated and edited by the user based on the primitives selected in the first phase. The system editor is specially provided for this purpose. Using the hierarchical object model facilitates a rapid interpretation of the result obtained from the previous image processing for the subsequent object recognition

Published in:

Image Analysis and Processing, 1999. Proceedings. International Conference on

Date of Conference: