Fuzzy Sets and Systems
The blackboard model of problem solving
AI Magazine
An introduction to splines for use in computer graphics & geometric modeling
An introduction to splines for use in computer graphics & geometric modeling
Review of shape coding techniques
Image and Vision Computing
Fast Algorithms for Low-Level Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Texture classification using multi-scale scheme
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Two decades of ripple down rules research
The Knowledge Engineering Review
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The aim of this paper is to develop accurate and reliable methods for automated detection of the edges of the lung by a knowledge-based approach. First, the system initialises the ROI(Region Of Interest) using 'unseeded region growing' algorithm. Then IPE(Image Processing Engine) generates candidates within the ROI. The candidates are matched to an anatomical model of the lung boundary using parametric features. A modular system architecture was developed which incorporates the model, image processing routines, an inference engine and a blackboard.