Image processing in industry. 6. Machine vision. 2. Traffic surveillance.

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 Based Traffic Surveillance Using Rotating Camera

Bezier and splines in image processing and machine vision

Springer, 2008. Hardcover. Book Condition: New. Digital image processing and machine vision have grown considerably during the last few decades. Of the various techniques, developed so far splines play a positive and significant role in many of them. Strong mathematical theory and ease of implementations is one of the keys of their success in many research issues. This book deals with various i...

Thermal Intro Row Weed Control Optimized Machine with Image Processing

Farming organic vegetable and crops have grown as a market desiring commodity. Weed control in farms has been costly and laborous and it has always been hard to achieve a proper weeding. A few chemicals are commonly applied in organic farming. Thermal weeding with flame burners seems a good solution; however, it has its own drawbacks, such as; damaging the main crops, low performance, being inf...