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Basic PowerPoint Template 1
Presented by Slidehunter
Digital Image
Processing and Analysis
with Photoshop
Speaker: Le Thanh Diem
1
Contents
2
I. Digital image processing (DIP)
1. What is a digital image?
2. What is a digital image processing?
3. Examples
II. DIP with Photoshop
1. Why?
2. Practice
References
I. Digital image processing
1. What is a digital image?
A digital image is a
representation of
a two-dimensional
image as a
finite set of digital
values, called
picture elements
or pixels
3
I. Digital image processing
1. What is a digital image?
Pixel values typically represent gray levels, colors, heights,
opacities, …
Digitization implies that a digital image is an approximation of a
real scene
4
I. Digital image processing
1. What is a digital image?
Common image formats
include:
1• sample per point
(B&W or Grayscale)
3• samples per point
(Red, Green, and Blue)
4• samples per point
(Red, Green, Blue, and
“Alpha”-Opacity)
5
I. Digital image processing
2. What is a digital image processing?
Digital image processing focuses on two major tasks
Improvement of pictorial information for human•
interpretation
Processing of image data for storage, transmission and•
representation for autonomous machine perception
Low Level Process Mid Level Process High Level Process
Input: Image Input: Image Input: Attributes
Output: Image Output: Attributes Output: Understanding
Examples: Noise
removal, image
sharpening
Examples: Object
recognition,
segmentation
Examples: Scene
understanding,
autonomous navigation 6
I. Digital image processing
3. Examples: IMAGE ENHANCEMENT
One of the most common uses of DIP techniques:
improve quality, remove noise,…
7
I. Digital image processing
3. Examples: GIS
Geographic Information
Systems
Digital image processing•
techniques are used
extensively to manipulate
satellite imagery
Terrain classification•
Meteorology•
8
I. Digital image processing
3. Examples: GIS
Night-Time Lights of the
World data  Global inventory
of human settlement
9
I. Digital image processing
3. Examples: ASTRONOMY
10
I. Digital image processing
3. Examples: MEDICAL
Gamma ray
exposed
images
11
II. DIP with Photoshop
1. Why?
Open-source software for digital image analysis:
ITK 3D Slicer Elastix Camino
12
II. DIP with Photoshop
1. Why?
“Using Photoshop for
image analysis is like
using Excel for statistics”
• Basic filters
• Color/intensity
rearrangements
13
II. DIP with Photoshop
1. Why?
An open platform for scientific
image analysis
Open source•
Highly extensible with•
thousands of plugins and
scripts for performing a
wide variety of tasks
ImageJ 14
References
• R. Gonzalez and R. Woods, “Digital Image Processing – 2nd
Edition”, Prentice Hall, 2002
• “Digital Image Processing Introduction” by Paresh Kamble
• “Using Photoshop to measure areas in a histological section”
Youtuber: Photoshop for the Scientist

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Digital image processing with photoshop

  • 1. Basic PowerPoint Template 1 Presented by Slidehunter Digital Image Processing and Analysis with Photoshop Speaker: Le Thanh Diem 1
  • 2. Contents 2 I. Digital image processing (DIP) 1. What is a digital image? 2. What is a digital image processing? 3. Examples II. DIP with Photoshop 1. Why? 2. Practice References
  • 3. I. Digital image processing 1. What is a digital image? A digital image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels 3
  • 4. I. Digital image processing 1. What is a digital image? Pixel values typically represent gray levels, colors, heights, opacities, … Digitization implies that a digital image is an approximation of a real scene 4
  • 5. I. Digital image processing 1. What is a digital image? Common image formats include: 1• sample per point (B&W or Grayscale) 3• samples per point (Red, Green, and Blue) 4• samples per point (Red, Green, Blue, and “Alpha”-Opacity) 5
  • 6. I. Digital image processing 2. What is a digital image processing? Digital image processing focuses on two major tasks Improvement of pictorial information for human• interpretation Processing of image data for storage, transmission and• representation for autonomous machine perception Low Level Process Mid Level Process High Level Process Input: Image Input: Image Input: Attributes Output: Image Output: Attributes Output: Understanding Examples: Noise removal, image sharpening Examples: Object recognition, segmentation Examples: Scene understanding, autonomous navigation 6
  • 7. I. Digital image processing 3. Examples: IMAGE ENHANCEMENT One of the most common uses of DIP techniques: improve quality, remove noise,… 7
  • 8. I. Digital image processing 3. Examples: GIS Geographic Information Systems Digital image processing• techniques are used extensively to manipulate satellite imagery Terrain classification• Meteorology• 8
  • 9. I. Digital image processing 3. Examples: GIS Night-Time Lights of the World data  Global inventory of human settlement 9
  • 10. I. Digital image processing 3. Examples: ASTRONOMY 10
  • 11. I. Digital image processing 3. Examples: MEDICAL Gamma ray exposed images 11
  • 12. II. DIP with Photoshop 1. Why? Open-source software for digital image analysis: ITK 3D Slicer Elastix Camino 12
  • 13. II. DIP with Photoshop 1. Why? “Using Photoshop for image analysis is like using Excel for statistics” • Basic filters • Color/intensity rearrangements 13
  • 14. II. DIP with Photoshop 1. Why? An open platform for scientific image analysis Open source• Highly extensible with• thousands of plugins and scripts for performing a wide variety of tasks ImageJ 14
  • 15. References • R. Gonzalez and R. Woods, “Digital Image Processing – 2nd Edition”, Prentice Hall, 2002 • “Digital Image Processing Introduction” by Paresh Kamble • “Using Photoshop to measure areas in a histological section” Youtuber: Photoshop for the Scientist