Components of an On-line Image Classification Framework

Description

In many machine vision applications, such as inspection tasks for quality control, an automatic system tries to reproduce human cognitive abilities. The most efficient and flexible way to achieve this, is to learn the task from a human expert. This training process involves object recognition methods, adaptive feature extraction algorithms and evolving classifiers. A lot of research has been done on each of these topics, however, simply plugging all of these methods together does not necessarily lead to a working machine vision system. In this talk, a generic self-adaptive image classification framework is presented, focussing on integration issues and on topics that are specific to quality control applications.

Period	14 Nov 2007
Event title	unbekannt/unknown
Event type	Other
Location	United StatesShow on map