An-Najah National University

Engineering Faculty Computer Engineering Department

Course title and number

Digital Image Processing - 66518

Instructor(s) name(s)

Anas Tomeh

Contact information

[email protected]. Office: 1360

Semester and academic year

Second Semester 2010/2011

Compulsory / Elective

Elective

Prerequisites

Computer Programming

Course

Contents

(description)

Introduction

  • What Is Digital Image Processing?
  • The Origins of Digital Image Processing
  • Examples of Fields that Use Digital Image Processing
  • Fundamental Steps in Digital Image Processing
  • Components of an Image Processing System

Digital Image Fundamentals

  • Elements of Visual Perception
  • Light and the Electromagnetic Spectrum
  • Image Sensing and Acquisition
  • Image Sampling and Quantization
  • Some Basic Relationships Between Pixels
  • Linear and Nonlinear Operations

Image Enhancement in the Spatial Domain

  • Some Basic Gray Level Transformations
  • Histogram Processing
  • Enhancement Using Arithmetic/Logic Operations
  • Basics of Spatial Filtering
  • Smoothing Spatial Filters
  • Sharpening Spatial Filters
  • Combining Spatial Enhancement Methods

Image Enhancement in the Frequency Domain

  • Introduction to the Fourier Transform and the Frequency Domain
  • Smoothing Frequency-Domain Filters
  • Sharpening Frequency Domain Filters

Color Image Processing

  • Color Fundamentals
  • Color Models
  • Pseudocolor Image Processing
  • Basics of Full-Color Image Processing
  • Color Transformations
  • Smoothing and Sharpening
  • Color Segmentation

Image Compression

  • Fundamentals
  • Image Compression Models
  • Elements of Information Theory
  • Error-Free Compression
  • Lossy Compression
  • Image Compression Standards

Morphological Image Processing

  • Dilation and Erosion
  • Opening and Closing
  • The Hit-or-Miss Transformation
  • Some Basic Morphological Algorithms

Image Segmentation

  • Detection of Discontinuities
  • Edge Linking and Boundary Detection
  • Thresholding
  • Region-Based Segmentation
  • Segmentation by Morphological Watersheds

Representation and Description

  • Representation
  • Boundary Descriptors
  • Regional Descriptors
  • Use of Principal Components for Description

Object Recognition

  • Patterns and Pattern Classes
  • Recognition Based on Decision-Theoretic Methods
  • Structural Methods

Course Objectives

This course will provide a fundamental understanding of digital image processing techniques, including image enhancement, coding, and image analysis.

Intended learning

Outcomes and

Competences

 

At the end of this course students should be able to;

         Know fundamentals of digital image

         Understand and design enhancement filters in special and frequency domain

         Know the concepts of the color image processing

         Explain the concepts of image compression algorithms

         Perform morphological image processing

  • Explain the concepts of image representation and image recognition

Textbook and References

(Online Resources)

Digital Image Processing 3nd edition by Rafael Gonzalez and Richard Woods

Assessment Criteria

Activity

Percent (%)

Midterm Exams

50

Homework and quizzes

10

Final Exam

40

 

Week

Subject

1

Introduction

2

Digital Image Fundamentals

3

Image Enhancement in the Spatial Domain

4

5

6

Image Enhancement in the Frequency Domain

7

MIDTERM EXAM 1

8

Image Enhancement in the Frequency Domain Cont.

9

Color Image Processing

10

Image Compression

11

Image Segmentation

12

Morphological Image Processing

13

MIDTERM EXAM 2

14

Representation and Description

15

Object Recognition

16

Final Exam