Modular system for image analysis using a game-theoretic framework

摘要

The design of image analysis systems aimed at recognition of multiple deformable objects require integration of a variety of modules. These systems (i) are first decomposed into a set of interdependent modules where each module is associated with a model-based objective, and (ii) are then formed by integrating these modules within a unifying framework. Previous approaches have been limited in providing a systematic and uniform treatment of the design problem and preserving the coexisting and separate nature of the modules' objectives. In Bozma1 a framework which overcomes these limitations has been formulated using game-theoretic concepts. The contribution of this paper is to present an image analysis system which is developed systematically using the game-theoretic framework, and which is aimed at recognizing multiple deformable objects. A secondary contribution is that the models used in designing the individual modules constitute extensions of earlier efforts. Our experiments with several images, including ones from the medical domain, demonstrate the power of this system in applications such as medical image analysis.