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Digital Signal & Image Processing: Image Segmentation
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Digital Signal & Image Processing: Image Segmentation
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25 Questions

1. On ramp and step second derivatives produce
2. For finding horizontal lines we use mask of values
3. The horizontal gradient pixels are denoted by
4. Blurring attenuate the
5. Ri is a connected set, where is
6. 8bit image has intensity levels of
7. To avoid the negative values taking absolute values in lapacian image doubles
8. For noise reduction we use
9. Transition of intensity takes place between
10. Gradient computation equation is
11. Digital functions' derivatives are defined as
12. Second derivatives are zero at points on
13. One that is not a method of image segmentation is
14. Second derivative approximation says that it is nonzero only at
15. Sobel gradient is not that good for detection of
16. Step edge transition is between pixels over the distance of
17. For line detection we use mask that is
18. Second derivative approximation says that values along the ramp must be
19. Discontinuity approach of segmentation depends upon
20. Diagonal lines are angles at
21. Point detection is done using filter that is
22. Horizontal lines are angles at
23. If the inner region of the object is textured then approach we use is
24. In laplacian images light shades of gray level is represented by
25. Subdivision of the image depends upon the

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