1. Chap 3 : Binary Image Analysis

2. Counting Foreground Objects

3. Example

4. Counting Object Algorithm

5. Counting Background Objects

6. Connected Component Labeling

7. 1. Recursive Connected Components Algorithm

8. Example

9. 2. Classical Connected Components Algorithm

10. Size Filter To remove small size noise  After connected component labeling, all components below T in size are removed by changing the corresponding pixels to 0.

11. Pepper & Salt Noise Reduction Change a pixel from 0 to 1 if all neighborhood pixels of the pixel is 1 Change a pixel from 1 to 0 if all neighborhood pixels of the pixel is 0

12. Expanding & Shrinking

13. Example 1

14. Example 2

15. Morphological Filter

16. Example

17. Example

18. Closing & Opening

19. Opening Example

20. Morphological Filter Example 1

21. Structure Element Example 1

22. Morpho- logical Filter Example 2

23. Structure Element Example 2

24. Conditional Dilation

25. Conditional Dilation Example

26. Area & Centroid

27. Perimeter

28. Circularity

29. Second Moment

30. Orientation

31. Bounding Box

32. Thresholding

33. P-Tile Method

34. Mode Method

35. Mode Algorithm

36. Iterative Method

37. Adaptive Method

38. Adaptive Method Example

39. Variable Thresholding Example

40. Double Thresholding Method

41. Double Thresholding Example

42. Recursive Histogram Clustering