The descriptive approach to image analysis current state and prospects

18Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The presentation is devoted to the research of mathematical fundamentals for image analysis and recognition procedures. The final goal of this research is automated image mining: a) automated design, test and adaptation of techniques and algorithms for image recognition, estimation and understanding; b) automated selection of techniques and algorithms for image recognition, estimation and understanding; c) automated testing of the raw data quality and suitability for solving the image recognition problem. The main instrument is the Descriptive Approach to Image Analysis, which provides: 1) standardization of image analysis and recognition problems representation; 2) standardization of a descriptive language for image analysis and recognition procedures; 3) means to apply common mathematical apparatus for operations over image analysis and recognition algorithms, and over image models. It is shown also how and where to link theoretical results in the foundations of image analysis with the techniques used to solve application problems. © Springer-Verlag Berlin Heidelberg 2005.

Cite

CITATION STYLE

APA

Gurevich, I. (2005). The descriptive approach to image analysis current state and prospects. In Lecture Notes in Computer Science (Vol. 3540, pp. 214–223). Springer Verlag. https://doi.org/10.1007/11499145_24

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free