Abstract
This chapter considers scientific challenges in developing machine vision applications based on pattern recognition methods. The goal of such solutions is to create useful and significant applications, especially using digital image processing and analysis. The focus is on visual inspection in the industry, computational vision, medical imaging and processing, and biosensors. It is important to recognize relevant phenomena, to measure them, and to understand how humans define their experience based on the measured data. This knowledge enables us to develop intelligent and robust methods for practical applications, with smart feature selection and parameter sensitivity analysis. Real-world applications for industrial machine vision, psychometric quality assessment, medical image processing, and traffic sign condition monitoring are shown. Annotation tools and expert databases are also discussed.
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