1. Lecture Eight Matlab for spatial filtering and intro to DFTs Figures from Gonzalez and Woods, Digital Image Processing, Copyright 2002, Gonzalez, Woods, and Eddins, Digital Image Processing with MATLAB, Copyright, 2004, and Jahne, Digital Image Processing, 4 th Edition, Copyright, 1997

2. Imadjust g=imadjust(f,[low_in,high_in],[low_out,high_out],gamma) Includes various contract transformations.

3. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

4. Logarithmic and Constrast Transformations g=c*log(1+double(f)) gs=im2uint8(mat2gray(g )); % to range [0,1] and to gray scale Contrast transformation g=1./(1+(m./(double(f)+eps)).^E) Use of eps prevents overflow if f has any zero values m is turning point

5. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

6. Stem and plot Find out syntax from typing help stem and help plot in MATLAB.

7. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

8. Histeq command g=histeq(f,hspec) hspec is a specified histogram. If you do g=histeq(f,256) you get histogram equalization.

9. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

10. Chosen Histgram

11. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

12. Spatial Filters g=imfilter(f,w,mode,bndry,size) Mode= ‘corr’ correlation—standard ‘conv’ convolution, w rotated 180 degrees

13. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

14. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

15. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

16. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

17. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

18. Chapter 3 Intensity Transformations and Spatial Filtering Chapter 3 Intensity Transformations and Spatial Filtering

19. Fourier Transforms Based on notion Fourier introduced to Heat transfer that any periodic function can be written as a possibly infinite sum of sines and cosines. Important in Differential equations Probability and statistics (characteristic functions, proof of central limit theorem) Almost any area of engineering you can name.

20. Chapter 4 Image Enhancement in the Frequency Domain Chapter 4 Image Enhancement in the Frequency Domain

21. Chapter 4 Image Enhancement in the Frequency Domain Chapter 4 Image Enhancement in the Frequency Domain

22. Chapter 4 Image Enhancement in the Frequency Domain Chapter 4 Image Enhancement in the Frequency Domain

23. Chapter 4 Image Enhancement in the Frequency Domain Chapter 4 Image Enhancement in the Frequency Domain

24. Chapter 4 Image Enhancement in the Frequency Domain Chapter 4 Image Enhancement in the Frequency Domain

25. Chapter 4 Image Enhancement in the Frequency Domain Chapter 4 Image Enhancement in the Frequency Domain

26. Fourier Spectrum and Phase Two images Mix up phase and amplitude

27. Two pictures from another text

28. Mix up amplitude and phase Amplitude from 1, phase from 2, amplitude from 2, phase from one.