EELE 5310: Digital Image Processing Lecture 1 Eng. Ruba A. Salamah Rsalamah @ iugaza.Edu - PowerPoint PPT Presentation

Loading...

PPT – EELE 5310: Digital Image Processing Lecture 1 Eng. Ruba A. Salamah Rsalamah @ iugaza.Edu PowerPoint presentation | free to view - id: 6fa68e-MDhjN



Loading


The Adobe Flash plugin is needed to view this content

Get the plugin now

View by Category
About This Presentation
Title:

EELE 5310: Digital Image Processing Lecture 1 Eng. Ruba A. Salamah Rsalamah @ iugaza.Edu

Description:

Title: EELE: Digital Image Processing Lecture 1 Eng. Ruba A. Salamah Rsalamah_at_ iugaza.Edu Author: rsalamah Last modified by: rsalamah Created Date – PowerPoint PPT presentation

Number of Views:88
Avg rating:3.0/5.0
Slides: 30
Provided by: rsa75
Category:

less

Write a Comment
User Comments (0)
Transcript and Presenter's Notes

Title: EELE 5310: Digital Image Processing Lecture 1 Eng. Ruba A. Salamah Rsalamah @ iugaza.Edu


1
EELE 5310 Digital Image Processing Lecture
1 Eng. Ruba A. Salamah Rsalamah _at_ iugaza.Edu
2
Course Objectives
  • To Cover the basic theory and algorithms that are
    widely used in digital image processing.
  • To Expose students to current technologies and
    issues that are specific to image processing
    systems.
  • To Develop hands-on experience in using computers
    to process images.
  • Familiarize with MATLAB Image Processing Toolbox.

3
Recommended Textbook
  • Digital Image Processing by R.C. Gonzalez and
    R.E. Woods, 3rd edition, Pearson Prentice Hall,
    2008
  • Additional readings on the class website

4
Prerequisites
  • Knowledge of the following three areas
  • -Linear Algebra.
  • -Elementary Probability Theory.
  • -Signals and Systems.

5
Grading Policy
  • Quizzes 15
  • H.W 10
  • Attendance 10
  • Projects 20
  • FinalExam45

6
Course outline
  • Introduction
  • Digital Image Fundamentals
  • Image Enhancement in the Spatial Domain
  • Image Enhancement in the Frequency Domain
  • Image Restoration
  • Image Compression
  • Image Segmentation
  • Representation and Description

7
Fundamentals of Digital Image Processing
8
What is a Digital Image?
  • A finite array of data values

9
What is Image Processing
  • Processing digital images by means of a digital
    computer.
  • Image processing typically attempts to accomplish
    one of three things
  • Restoring Images
  • Enhancing Images
  • Understanding Images
  • Restoration takes a corrupted image and
    attempts to recreate a clean original
  • Enhancement alters an image to makes its
    meaning clearer to human observers
  • Understanding usually attempts to mimic the
    human visual system in extracting meaning from an
    image

10
Three Types of Processes
  • Low-level Processes
  • Involve primitive operations such as image
    preprocessing to reduce noise, contrast
    enhancement, and image sharpening.
  • A low-level process is characterized by the fact
    that both its inputs and outputs are images.
  • Mid-level Processes
  • Involves tasks such as segmentation (partitioning
    an image into regions or objects), description of
    those objects to reduce them to a form suitable
    for machine learning , and classification(recognit
    ion) of individual objects.
  • Its inputs generally are images, but its outputs
    are attributes extracted from those images (e.g.,
    edges, contours, and the identity of individual
    objects).

11
Three Types of Processes
  • High-level Processes
  • Processing involves "making sense of an ensemble
    of recognized objects, as in image analysis, and,
    at the far end of the continuum, performing the
    cognitive functions normally associated with
    vision.

12
Applications
  • Processing of remote-sensed images via satellite.
  • Radar, MRI, Ultrasonic image processing.
  • Noise Reduction.
  • Character recognition.
  • Automatic inspection of industrial parts.
  • Content based image retrieval.
  • Biometrics.
  • Target tracking.

13
Sources of Energy for Image Formation
  • The principle energy source for images is the EM
    spectrum
  • Other sources include ultrasonic, electronic, and
    synthetic images.

14
Some Applications -- Medical Diagnostics
15
Some Applications -- MRI
16
Some Applications -- Microscopy
17
Some Applications -- Industrial Inspection
18
Some Applications -- Remote Sensing
19
Some Applications -- Transmitting Images
20
Key Stages in Digital Image Processing
21
Image Acquisition
22
Image Enhancement
23
Image Restoration
24
Morphological Processing
25
Segmentation
26
Object Recognition
27
Image Representation Description
28
Image Compression
29
Colour Image Processing
About PowerShow.com