Chap2_HDR_Computer vision material_for _enginerring_stident.pptx

Computer vision material for computer Engineering student

1. Digital Image Fundamentals Electromagnetic Spectrum 1

2. Digital Image Fundamentals Electromagnetic wave – what ? Stream of mass less particles, which contains bundle of energy called “Photon” λ = C / f 2

3. Digital Image Processing - Introduction How human perceives color ? Achromatic or monochromatic light intensity or gray-level Chromatic light (Color) Radiance(W), Luminance(lm), Brightness 3

4. Image sensing and acquisition 4

5. A simple image formation model 5

6. Image sampling & quantization 6

7. 7

8. Few Terms Spatial Resolution Intensity Resolution Sub sampling Re sampling False contouring 8

9. Sub sampling 9 Devang Pandya

10. Resampling 10 Devang Pandya

11. False contouring 11

12. False contouring (Contd..) 12

13. Relationship between Pixels Neighbors 4, D, 8 Connected Pixel Adjacency 4, 8 m: p and q with values from V are m adjacent if q is in N4(p), or q is in N D (p) and the set ,has no pixels whose values are from V. Digital Path Length, Closed Path, Types of Path Pixels Connected in S Connected Component of S 13

14. Relationship between Pixels Connected Set Region Boundary Why m-adjacency? 14

15. Find the length of Shortest m-Path p=p 2 =p 4 =1 p 1 =p 3 =0 (2) p 1 =1, p 3 =0 (3) p 3 =1, p 1 =0 (3) p 3 =p 1 =1 (4) 15

16. Distance Measures What is Distance Function? Euclidean Distance D 4 (City-Block, Manhattan) Distance 16

17. Distance Measures D 8 (Chessboard Distance)Distance 17

18. Image Interpolation What is Interpolation? What is Image Interpolation? Types of Interpolation Pixel Replication Nearest Neighbor Interpolation Bilinear interpolation Bicubic interpolation 18

19. Image operations Array versus Matrix operations Linear versus Nonlinear operations Arithmetic operations Logical operations Spatial operations Single pixel operations Neighbourhood operations 19