DIGITAL IMAGE PROCESSING 4th phần 5 docx

DIGITAL IMAGE PROCESSING 4th phần 5 docx

DIGITAL IMAGE PROCESSING 4th phần 5 docx

... levels. H F c() H G d() 1 D⁄= PART 4 IMAGE IMPROVEMENT The use of digital processing techniques for image improvement has received much interest with the publicity given to applications in space imagery and medical research. ... source image to the gray scale of a destination image to best visualize certain details within the source image. Pardo and Sapiro (3) have proposed a dif...

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DIGITAL IMAGE PROCESSING 4th phần 2 docx

DIGITAL IMAGE PROCESSING 4th phần 2 docx

... ηd ∞– ∞ ∫ ∞– ∞ ∫ = Gxy,()Fxy,()Hxy,() ᭺ ء = CONTENTS xi 19 Image Detection and Registration 651 19.1 Template Matching, 651 19.2 Matched Filtering of Continuous Images, 655 19.3 Matched Filtering of Discrete Images, 662 19.4 Image Registration, ... Monochrome Image Sampling Systems, 99 4.3 Monochrome Image Reconstruction Systems, 110 4.4 Color Image Sampling Systems, 119 5 Ima...

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DIGITAL IMAGE PROCESSING 4th phần 4 docx

DIGITAL IMAGE PROCESSING 4th phần 4 docx

... Recognition and Image Processing, Chicago, May 1978. 2. W. K. Pratt, “Vector Formulation of Two Dimensional Signal Processing Operations,” Computer Graphics and Image Processing, 4, 1, March 19 75, 1–24. 3. ... one obtains (6 .5- 3) where represents the correlation function of the input image array. In a similar manner, the covariance function of the output image is found to be (6...

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DIGITAL IMAGE PROCESSING 4th phần 8 docx

DIGITAL IMAGE PROCESSING 4th phần 8 docx

... square-root form as ( 15. 2-6b) where ( 15. 2-6c) ( 15. 2-6d) The edge orientation with respect to the row axis is ( 15. 2-7) Figure 15. 2-3 presents the edge gradients of the peppers image for the Roberts ... associated with Table 15. 2-1 were con- ducted with relatively low signal-to-noise ratio images. Section 15. 5 provides exam- ples of such images. For high signal-to-noise ratio image...

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DIGITAL IMAGE PROCESSING 4th phần 9 docx

DIGITAL IMAGE PROCESSING 4th phần 9 docx

... – sand 5. 05 4.29 2.92 Grass – raffia 7.07 5. 32 3 .57 Grass – wool 2.37 0.21 0.04 Sand – raffia 1.49 0 .58 0. 35 Sand – wool 6 .55 4.93 3.14 Raffia – wool 8.70 5. 96 3.78 Average 5. 21 3 .55 2.30 a 1: ... 6.39 6.37 5. 61 4.21 15. 34 12.34 11.48 10.12 Grass – raffia 8.47 8.34 6 .56 4.66 10.61 10.49 8.74 6. 95 9.46 8. 15 6.33 4 .59 Grass – wool 4.17 4.03 1.87 1.70 4.64 4 .59 2.48...

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DIGITAL IMAGE PROCESSING 4th phần 3 doc

DIGITAL IMAGE PROCESSING 4th phần 3 doc

... relationship is given by (3 .5- 9a) (3 .5- 9b) (3 .5- 9c) where (3 .5- 9d) (3 .5- 9e) Figure 3 .5- 7 shows the linear RGB components of an NTSC receiver primary color image. This color image is printed in the ... and Image Processing, Image Processing and Interchange, Part 1: Common Architecture for Imaging,” ISO/IEC 12087-1:19 95( E). 22. “Information Technology, Computer Graphics...

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DIGITAL IMAGE PROCESSING 4th phần 6 pot

DIGITAL IMAGE PROCESSING 4th phần 6 pot

... PQ= f ˆ Bf ˆ g= f ˆ gBfef{}+= ef{} f ˆ Wg= E M ef ˆ {}[] T ef ˆ {}[]gBf ˆ –[] T gBf ˆ –[]== f ˆ REFERENCES 3 05 49. W. Find, Image Coloration as an Interpretation Aid,” Proc. SPIE/OSA Conference on Image Processing, Pacific Grove, CA, February 1976, 74, 209–2 15. 50 . G. S. Robinson ... Research Report on Computer Processing of ERTS Images,” Report USCIPI 640, University of Southern C...

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DIGITAL IMAGE PROCESSING 4th phần 7 doc

DIGITAL IMAGE PROCESSING 4th phần 7 doc

... x M y M x M 2 x M y M y M 2 = aA – u= bA – v= A – A T A[] 1– A= a i b i ,() jk,() 421 14 Digital Image Processing: PIKS Scientific Inside, Fourth Edition, by William K. Pratt Copyright © 2007 by John Wiley & Sons, Inc. MORPHOLOGICAL IMAGE PROCESSING Morphological image processing ... a 5 y 2 +++ + += vb 0 b 1 xb 2 yb 3 x 2 b 4 xy b 5 y 2 +++ + += u v a 0 a 1 a 2 a 3 a 4 a...

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DIGITAL IMAGE PROCESSING 4th phần 10 pot

DIGITAL IMAGE PROCESSING 4th phần 10 pot

... diamond 0 .50 2 0 .50 5 42.198 –0. 853 13.366 –0. 158 0.009 0.029 –0.0 05 Club 0.492 0 .51 2 21.834 –0.239 37.979 0.037 –0 .54 5 –0.039 0. 950 Rotated club 0.497 0.480 29.6 75 8.116 30.228 0.268 –0 .50 5 –0 .55 7 0.216 Ellipse ... 4,337.90 2,149.18 2,143 .52 2,211. 15 1,092.92 1,071. 95 1,008. 05 1,140.43 Magnified heart 34 ,52 3.13 17,130.64 17,442.91 8,762.68 8, 658 .34 9,402. 25 4,6...

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