Image pattern recognition involves decision-making based on image data. Statistical tools for automatic, rational decision-making are numerous and can be applied some of the kinds of decisions that need to be made in medical imaging. This tutorial will present an introduction to statistical pattern recognition and show how those techniques can be applied to several kinds of image analysis problems, including analysis of multiple modalities and multiple scales. The course introduction will review problems in biomedical image analysis and provide both a framework and taxonomy for approaching vision problems. The course will include detailed discussion on the structure of images, statistical pattern recognition techniques, image pattern recognition using this technique, and statistical representations of image geometry.