Syllabus

 

 

Topic

Reading

Introduction: What is image processing? Areas related to image processing. Computer imaging systems. Human eye. Resolution concerns. Image formats

Chapter 1

Image digitization, image properties, noise in images 

 Chapter 2.2-2.3

Data structures for image analysis: image data structures, relational structures, hierarchical structures

Chapter 3

Unitary transforms: cosine and sine, Hadamard, Haar, Sampling and the FT. Hadamard, Walsh, transforms. Discrete cosine transform. Hotelling (Karhunen-Loeve) transform. Linear systems

2.1, chapter 12, handout

Image Pre-processing: pixel brightness transformation, geometric transformations, local filtering using masks (Neighborhood operations), edge detection, Image restoration

chapter 4

Image segmentation: threshold based, edge-based, region based, matching

Chapter 5

Shape representation and description

Chapter 6

Mathematical morphology

Chapter 11

Texture

Chapter 14

Image data compression

Chapter 13