程序代写代做代考 matlab Module Objectives

Module Objectives

Module Structure

Delivery Team
Area of expertise: all 3 lecturers; Medical Imaging
Both PhD students

Delivery Team

Grading

Essential
“Digital Image Processing”, R.C. Gonzalez and R.E. Woods, 3rd edition, Pearson Prentice Hall, 2008
Recommended
“Digital Image Processing Using Matlab”, R.C. Gonzalez and R.E. Woods, 2nd edition, Gatesmark Publishing, 2009
Extra material may be suggested during lectures
Textbook & Reading Material

Today

Digital Image
Digital Image: a two-dimensional function f(x,y) or matrix
• Pixel: the elements of a digital image
• x and y are spatial coordinates
• The amplitude of f is called intensity at the point (x, y)
• Image size = max(x) × max(y) – e.g. 640×480
• Pixel intensity value f(x,y) ∈[0, 255]

Origins of Digital Image Processing
Sent by submarine cable between London and New York; transportation time was reduced to less than 3 hours from more than a week

Image Formation (Acquisition)

Sources of Images
Electromagnetic (EM) energy spectrum  Acoustic
 Ultrasonic
 Electronic
Synthetic images (produced by computer)

Sources of Images – Ultrasound Imaging

Sources of Images
 Electromagnetic (EM) energy spectrum  Acoustic
 Ultrasonic
 Electronic
Synthetic images (produced by computer)

Sources of Images
Electromagnetic spectrum arranged by wavelength
• Gamma-ray imaging: nuclear medicine and astronomical observations
• X-rays: medical diagnostics, industry, and astronomy, etc.
• Ultraviolet: lithography, industrial inspection, microscopy, lasers, biological imaging, and astronomical observations
• Visible and infrared bands: light microscopy, astronomy, remote sensing, industry, and law enforcement
• Microwave band: radar
• Radio band: medicine (such as MRI) and astronomy

Sources of Images
X-ray
Gamma-ray
MRI (Radio band)

Sources of Images – Radar
Stealth Shield

Sources of Images – Infrared
Thermography Satellite Imaging
Invisible, wavelength 800nm-1mm

Light & EM Spectrum
• Colours that humans perceive in an object are determined by nature of the light reflected from object.
• e.g.greenobjects reflect light with wavelengths primarily in 500-570 nm range (absorbing most of energy at other wavelength)

Sources of Images – Photometry (Optics)

Applications – Industry
Face Recognition & Emotion Detection
Surveillance

Applications – Entertainment

Applications – Forensics

Applications – Biometrics
Surveillance and Identity

Applications – Tracking & Recognition
Object Tracking
Object Recognition

Applications – Object Tracking (Hawkeye)

Applications – Medical

Applications

Digital Image Processing
Digital Image Processing: process digital images by means of computer
• low-level: inputs and outputs are images
• mid-level: outputs are attributes extracted from input images
• high-level: an ensemble of recognition of individual objects

Fundamental Steps in DIP
Reduce redundancy of image data Week 10
Colour models Week 9
Extracting image components Weeks 5-6
Result is more suitable than original Weeks 3-4
Image Formation Week 2
Partition an image into its constituent objects Weeks 7-8
Finding and identifying objects in an image Week 12
Represent image for computer processing Week 11

Recommended Reading
“Digital Image Processing”, R.C. Gonzalez and R.E. Woods, 3rd edition, Pearson Prentice Hall, 2008
Chapter 1

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