Download PDF by Sambhunath Biswas: Bezier & Splines in Image Processing & Machine Vision

By Sambhunath Biswas

ISBN-10: 1402045786

ISBN-13: 9781402045783

This ebook offers with numerous photograph processing and laptop imaginative and prescient difficulties successfully with splines and comprises: the importance of Bernstein Polynomial in splines, special assurance of Beta-splines purposes that are fairly new, Splines in movement monitoring, numerous deformative versions and their makes use of. ultimately the booklet covers wavelet splines that are effective and powerful in numerous photo applications.

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Step 2: Increment i ← i + 1; if i = n, go to step 7; otherwise, find the directional code between Pi and pi+1 ; let it be d2 . Step 3: If d1 = d2 , go to step 2; otherwise, if d1 div 2 = 0 and d2 div 2 = 0 or if | d1 − d2 | = 3 or 5, then return (xi , yi ). Step 4: Set i ← i + 1; if i = n, go to step 7; otherwise, find the direction code between Pi and Pi+1 ; let it be d3 . Step 5: If d3 = d2 , then count← count+1 and go to step 4; otherwise, if | d1 − d3 | = 0 or 1, then set count← 1, d1 ← d3 , and go to step 2 else do step 6.

The second quadrant will have some high frequencies that are actually transitions within the object. , across the boundary). Thus, the second quadrant will have a highly skewed probability distribution resulting in a drastic lowering of HT C . Fig. 1. Partitioning of the co-occurrence matrix for thresholding. The uniformity of quadrant one will be maintained, but that of quadrants three and four will be affected causing a lowering of entropy of quadrants three and four. 4 Extraction of Compact Homogeneous Regions 41 be reduced.

1 Partition/Decomposition Principle for Gray Images Explore the possibility of using the object/ background thresholding algorithm (Cond threshold ) for the extraction of homogeneous patches from a graylevel image. To partition the image into several subimages, one should keep in mind the following points: • Each subimage consisting of different regions should be approximated well by some low order function. • Number of subimages should be as low as possible. • Homogeneity within a region and contrast between regions should be reasonably good.

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Bezier & Splines in Image Processing & Machine Vision by Sambhunath Biswas


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