International Journal of Computer Vision
Active Hypercontours and Contextual Classification
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
Graph image language techniques supporting radiological, hand image interpretations
Computer Vision and Image Understanding
Image languages in intelligent radiological palm diagnostics
Pattern Recognition
Cognitive approach to visual data interpretation in medical information and recognition systems
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Adaptive potential active hypercontours
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Notes on a Linguistic Description as the Basis for Automatic Image Understanding
International Journal of Applied Mathematics and Computer Science
Contribution of hypercontours to multiagent automatic image analysis
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Automatic early stroke recognition algorithm in CT images
ITIB'12 Proceedings of the Third international conference on Information Technologies in Biomedicine
Sensed compression with cosine and noiselet measurements for medical imaging
ITIB'12 Proceedings of the Third international conference on Information Technologies in Biomedicine
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In the paper, the main paradigm of image understanding as well as possible way for practical machine realization in relatively simple situations is presented. The notion 'simple situations' reflects more our humility with respect to the complication of human perception process than the form of objects to be recognized and interpreted. Crucial for our approach are formalization of human knowledge about class of images to be automatically interpreted and realization of cognitive resonance while the particular method put at work is the active contour approach.