Title
An on-line interactive self-adaptive image classification framework
Abstract
In this paper we present a novel image classification framework, which is able to automatically re-configure and adapt its featuredriven classifiers and improve its performance based on user interaction during on-line processing mode. Special emphasis is placed on the generic applicability of the framework to arbitrary surface inspection systems. The basic components of the framework include: recognition of regions of interest (objects), adaptive feature extraction, dealing with hierarchical information in classification, initial batch training with redundancy deletion and feature selection components, on-line adaptation and refinement of the classifiers based on operators' feedback, and resolving contradictory inputs from several operators by ensembling outputs from different individual classifiers. The paper presents an outline on each of these components and concludes with a thorough discussion of basic and improved off-line and on-line classification results for artificial data sets and real-world images recorded during a CD imprint production process.
Year
Venue
Keywords
2008
ICVS
novel image classification framework,on-line interactive self-adaptive image,on-line processing mode,on-line adaptation,artificial data set,arbitrary surface inspection system,feature selection component,cd imprint production process,basic component,adaptive feature extraction,on-line classification result,feature extraction,image classification,feature selection,production process,region of interest
Field
DocType
Volume
Data set,Pattern recognition,Feature selection,Computer science,Feature extraction,Scheduling (production processes),Redundancy (engineering),Artificial intelligence,Operator (computer programming),Contextual image classification,Linear classifier,Machine learning
Conference
5008
ISSN
ISBN
Citations 
0302-9743
3-540-79546-4
12
PageRank 
References 
Authors
0.64
15
7
Name
Order
Citations
PageRank
Davy Sannen1604.70
Marnix Nuttin236838.70
Jim Smith3508.91
Atif Tahir446027.12
Praminda Caleb-Solly511717.51
Edwin Lughofer6194099.72
Christian Eitzinger716415.33