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Summary: Notes for SIMG-784
Digital Image Processing and Pattern
Recognition
Harvey E. Rhody
Winter Quarter 1997
2
Contents
1 Overview 5
1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.2 Abstract Model . . . . . . . . . . . . . . . . . . . . . . . . . . 8
1.2.1 Decision Model . . . . . . . . . . . . . . . . . . . . . . 11
1.3 Example: Recognize Sports Figures . . . . . . . . . . . . . . . 13
1.4 Classi cation Rules . . . . . . . . . . . . . . . . . . . . . . . . 14
1.5 Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
2 Decision Theory 19
2.1 The Decision Function . . . . . . . . . . . . . . . . . . . . . . 20
2.1.1 Bayes Rule for Minimum Risk . . . . . . . . . . . . . . 23
2.1.2 Computational Considerations . . . . . . . . . . . . . . 24
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