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