Segmentation of Multi-Channel Image with Markov Random Field Based Active Contour Model
Journal of VLSI Signal Processing Systems
A Metric Approach to Vector-Valued Image Segmentation
International Journal of Computer Vision
Automatic Image Segmentation by Tree Pruning
Journal of Mathematical Imaging and Vision
Hydropower plant control using holonic structure concept
WSEAS TRANSACTIONS on SYSTEMS
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This paper presents an image processing procedure to detect and measure the insert and blade holder profiles and positions. A holonic approach is considered in this paper whereby objects identification in the scene is performed by basic regions (color based identification) merging in wider regions to meet geometrical description. Specifying relationships between the image components and formulating queries that search for objects, their other associated characteristics, is performed by a language for this specific problem. The proposed method is shown to be effective and suitable for the unmanned measurement of insert and blade holder online identification. Moreover, the proposed approach has the potential to deal with scene object identification problems.