Fundamentals of digital image processing
Fundamentals of digital image processing
Graph Algorithms
Novel method for analysis of printed circuit images
IBM Journal of Research and Development
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
The Chain Pyramid: Hierarchical Contour Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Computer Vision Method for DeterminingLength of Cheese Shreds
Artificial Intelligence Review
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Wavelet-based printed circuit board inspection algorithm
Integrated Computer-Aided Engineering
The feature extraction and analysis of flaw detection and classification in BGA gold-plating areas
Expert Systems with Applications: An International Journal
From region based image representation to object discovery and recognition
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
On estimating the position of fragments on rotational symmetric pottery
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Review article: Automated fabric defect detection-A review
Image and Vision Computing
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The authors investigate the use of a priori knowledge about a scene to coordinate and control bilevel image segmentation, interpretation, and shape inspection of different objects in the scene. The approach is composed of two main steps. The first step consists of proper segmentation and labeling of individual regions in the image for subsequent ease in interpretation. General as well as scene-specific knowledge is used to improve the segmentation and interpretation processes. Once every region in the image has been identified, the second step proceeds by testing different regions to ensure they meet the design requirements, which are formalized by a set of rules. Morphological techniques are used to extract certain features from the previously processed image for rule verification purposes. As a specific example, results for detecting defects in printed circuit boards are presented.