The document discusses image formation from an imaging source. It describes how an original grayscale image is converted to different formats, including converting from RGB to grayscale and rescaling the intensity range. It also discusses converting mammography images from the MIAS database to different formats, and notes that the MIAS database contains 161 left and right breast images that are 1024x1024 pixels and 8-bit, representing 256 grayscale levels.

1. Image Formation
Image Source:
http://www.sprawls.org/resources/CTIMG/module.htm#1
Department of Computer Science And Engineering
Shahjalal University of Science and Technology
Nashid Alam
Registration No: 2012321028
annanya_cse@yahoo.co.uk Masters -2 Presentation
(Backup Slides# 2)
Slide Courtesy :
Dr. Mohammed Jahirul Islam

2. Image Formation

3. Image Formation

4. Image Formation

5. Image Formation
Mammography Machine
Mammography Machine

6. Image Formation

7. Image Formation

8. Image Formation
Original image from MIAS database
Grayscale (Unit8 )
Intensity range: 0-255
(3 channel)

9. Image Formation
Grayscale (Unit8 )
Intensity range: 0-255
(3 channel)
To
Grayscale ( Uint8)
Intensity range: 0-255
(single channel)
rgb2gray(img)

10. Image Formation
im2double(img)
Intensity Range: 0-1 (3 channel)

11. Image Formation
I2 = im2double(I1)
converts the intensity
image I1 to double
precision,
rescaling the data if
necessary.

12. Image Formation
Grayscale (Double)
Intensity range: 0-1
(3 channel)
To
Grayscale ( Double )
Intensity range: 0-1
(single channel)
rgb2gray(im)

13. Image Formation

14. Image Formation

15. Image Formation
Along x-axis
Along Y-axis

16. Image Formation

17. Image Formation

18. Image Formation

19. Image Formation

20. Image Formation

21. Digital Image

22. Digital Image
Intensity range: 0-255
(3 channel)
Intensity range: 0-255
(single channel)

23. Digital Image

24. Digital Image

25. Digital Image

26. A Simple Image Formation Model

27. A Simple Image
Formation Model
The Illumination- Reflectance Model

28. A Simple Image
Formation Model
The Illumination- Reflectance Model
Image as 2D light
Intensity function
Reflection
Illumination

29. Simple Imaging Model

30. Simple Imaging Model

31. Simple Imaging Model

32. Simple Imaging Model

36. • Consists of 322 images
-- Contains left and right breast images for 161 patients
• Every image is 1024 X 1024 pixels in size
• Represents each pixel with an 8-bit word
(8 bit to represent each pixel)
• (0-255)=256 gray level (Monochrome image)
• No. of bit required to store image, b= M*N*k
(2k= 256; k=8,M=N=1024)
MIAS Database
Mammography Image Analysis Society (MIAS)
-An organization of UK research groups
Database: http://skye.icr.ac.uk/miasdb/miasdb.html

37. • (0-255)=256 gray level (Monochrome image)
• No. of bit required to store image, b= M*N*k
(2k= 256; k=8,M=N=1024)
MIAS Database
Mammography Image Analysis Society (MIAS)
-An organization of UK research groups
Database: http://skye.icr.ac.uk/miasdb/miasdb.html
•No. of bit required to store image, b= M*N*k
=(1024*1024*8) bit
=8,388,608 bit