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English
World Scientific Publishing Co Pte Ltd
18 July 1996
Machine vision technology has created a strong interest among research organizations, resulting in many innovative products. Despite this end users have been very skeptical towards machine vision and its robustness in harsh environments. This book presents the results of a national machine vision technology programme aimed at boosting research and putting research results to work in practical industrial applications. The topics to be covered include image acquisition, analysis of surface colour and texture, applications of machine vision in surface inspection and process control, 3-D measurements, and CAD-based machine vision.

Edited by:   , ,
Imprint:   World Scientific Publishing Co Pte Ltd
Country of Publication:   Singapore
Volume:   22
Dimensions:   Height: 251mm,  Width: 170mm,  Spine: 15mm
Weight:   476g
ISBN:   9789810225261
ISBN 10:   9810225261
Series:   Series In Machine Perception And Artificial Intelligence
Pages:   188
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Machine vision 1992-1996, technology programme in Finland, A. Soini; design of image acquisition for surface inspection, A. Harkonen et al; an intelligent camera for active vision, L.-F. Pau; imaging spectrograph and camera solutions for industrial applications, E. Herrala and J. Okkonen; some aspects of RGB vision and its applications in industry, E. Marszalec and M. Pietikainen; determining composition of grain mixtures by texture classification based on feature distributions, T. Ojala et al; recent developments in wood inspection, O. Silven and H. Kaupinnen; self-organizing feature extraction in recognition of wood surface defects and colour images, J. Lampinen and S. Smolander; inspection of colour printing quality, C. Sodergard et al; image processing in combustion control, J. Hirvonen et al; accurate 3-D measurement using a single video, J. Heikkila and O. Silven; 3D measurement controlled by a CAD model-based measurement planning and vision system, H. Ailisto et al; machine vision tools for CAGD, V. Koivunen and J.-M. Vezien.

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