The document covers various aspects of digital image processing and pattern recognition, including definitions, applications, and examples of decision-making processes. It discusses the importance of feature selection and the implications of error costs in pattern recognition systems. Additionally, it outlines the design cycle involved in developing effective pattern recognition systems.

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Digital Image Processing
Pattern Recognition

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Human Perception

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What is a Pattern Recognition?

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Pattern Recognition Applications

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An Example

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An Example : Decision Process

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An Example : Selecting Features

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An Example : Selecting Features

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An Example : Selecting Features

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An Example : Selecting Features

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An Example : Cost of Error

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An Example : Cost of Error

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An Example : Multiple Features

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An Example : Multiple Features

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An Example : Decision Boundaries

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An Example : Decision Boundaries

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Pattern Recognition Systems

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Pattern Recognition Systems

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Pattern Recognition Systems

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The Design Cycle

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The Design Cycle

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The Design Cycle

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The Design Cycle

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The Design Cycle

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Summary