Machine Vision Ensures Excellence in Paper Processing

Matrox Imaging White Paper - Color Machine Vision

Digital cameras with color image sensors are now commonplace. The same is true for the computing power and device interfaces necessary to handle the additional data from color images. What’s more, as users become familiar and comfortable with machine vision technology, they seek to tackle more difficult or previously unsolvable applications. These circumstances combine to make color machine vis...

Image Processing Techniques for Machine Vision

Image Processing Algorithms are the basis for Image Computer Analysis and Machine Vision. Employing a theoretical foundation – Image Algebra – and powerful development tools – Visual C++, Visual Fortran, Visual Basic, and Visual Java – high-level and efficient Computer Vision Techniques have been developed. This paper analyzes different Image Processing Algorithms by classifying them in logical...

Irish Machine Vision and Image Processing Conference

A unified hybrid (local/global) model for face representation and recognition is presented. Feature kernels are used at the localised image level to cope with nonlinear and complex appearance-based variations of face images. A multiresolution representation is also proposed with kernels extracted from images at varying resolutions to form a multiresolution face kernel (MRFK) model. Similarly, a...

Machine Vision Sensing for Meat Processing Automation

The Machine Vision Team of Industrial Research Limited (formerly part of the New Zealand Department of Scientific and Industrial Research) is involved in a wide range of machine vision research and development projects. This paper gives an overview of three projects which have particular relevance to the meat industry. The projects discussed are: (i) development of a laser scanning inspection s...

Assessing Our Vision for Excellence