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Automatic understanding of images: integrated syntactic and semantic analysis of music notation

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1 Author(s)
W. Homenda ; Faculty of Mathemarics and Information Science, the Warsaw University of Technology, p1. Politechnrki 1, 00=661, Warsaw, Poland. phone: (48)(22) 621-93-12: fax: (48)(22) 625-74-60; email: homcndna@mini.pw.du.pl

The paper introduces an approach to image processing and recognition based on the perception of images as subjects being exchanged in the man-computer communication. The approach reveals the parallel syntactic and semantic attempts to automatic image understanding. Both attempts are reflected in the paradigms of information granulation and granular computing. The parallel syntactic and semantic processing of images allows for solving problems raised by difficulties and complexity of the detailed syntactic description of images as well as difficulties of detailed semantic analysis. The study presented in this paper is cast on the practical task of the music notation recognition.

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The 2006 IEEE International Joint Conference on Neural Network Proceedings

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