Title
Automated Construction Of Image Processing Procedure Based On Misclassification Condition
Abstract
This paper proposes a new expert system IMPRESS-Pro that automatically constructs an image processing procedure to decide whether there exists a specific figure in an image or not based on the requirement of misclassification rates given by a user. This system has a sequence of several local processes whose algorithms and parameters are unfixed and decides them sequentially in accordance with condition for each local process performance estimated from the requirement on misclassification rates. This paper also shows experimental results of applying this system to procedure generation problems for extracting defective parts on the surface of integrated circuit packages with promising results.
Year
DOI
Venue
2000
10.1109/ICPR.2000.906104
15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS: PATTERN RECOGNITION AND NEURAL NETWORKS
Keywords
Field
DocType
agricultural engineering,integrated circuit,feature extraction,quality control,expert systems,image classification,expert system,construction industry,image processing,integrated circuit packaging
Data mining,Pattern recognition,Existential quantification,Computer science,Expert system,Image processing,Feature extraction,Artificial intelligence,Contextual image classification,Integrated circuit
Conference
ISSN
Citations 
PageRank 
1051-4651
1
0.36
References 
Authors
0
4
Name
Order
Citations
PageRank
Toshihiro Hamada111.72
Akinobu Shimizu210.36
Jun-ichi Hasegawa322161.17
Jun-ichiro Toriwaki4578136.04