Proceedings of the 5th International Workshop on Image Mining. Theory and Applications

Gurevich I., Niemann H., Radig B., Salvetti O.

Image mining  Image processing  Computer Vision  Pattern recognition  I.4 IMAGE PROCESSING AND COMPUTER VISION  I.5 PATTERN RECOGNITION 

The IMTA-5 workshop continues the successful series of the IMTA workshops associated with VISAPP conferences and is devoted to modern mathematical techniques of image mining and to image analysis applications in different fields including natural and social sciences, engineering, technology and industry, medicine and others. Automation of image mining is one of the most important strategic goals in image analysis, recognition and un- derstanding both in scientific and technological aspects. The main goals are developing and applying of mathematical theory for constructing image models and representations allowable by efficient pattern recognition algorithms and for constructing standardized re- presentation and selection of image analysis transforms. Taking as a strategic goal the automated image mining it is necessary to provide image analysis professionals and final users with the following opportunities: - automated design, testing and adaptation of techniques and algorithms for image recognition, estimation and understanding; - automated selection of techniques and algorithms for image recognition, estimation and understanding; - automated testing of the raw data quality and suitability for solving image recognition problems; - standard technological schemes for image recognition, estimation, understanding and retrieval.

Source: digital library: SCITEPRESS - Science and Technology Publications, 2015