ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 1 ppsx
ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 1 ppsx
... Preface Acknowledgments Chapter 1 Image Algebra 1. 1. Introduction 1. 2. Point Sets 1. 3. Value Sets 1. 4. Images 1. 5. Templates 1. 6. Recursive Templates 1. 7. Neighborhoods 1. 8. The p-Product 1. 9. References Chapter 2 Image ... computer vision algorithms in succinct algebraic form. For instance, in certain interpolation schemes it becomes necessary to switch from...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 3 ppsx
... c (2 ,1) (2,3) , the two underlined elements of A are combined with the two underlined elements of B as illustrated: In particular, If In the following list of pertinent recursive image- template products ... template since the recursive part and the nonrecursive part do not overlap. In particular, the recursive template shown in Figure 1. 6 .1 can be redrawn as illustrat...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 11 ppsx
... resulted in several generalizations and a variety of applications in computer vision and image processing [1, 2, 17 , 18 , 19 ]. In this section we present a method for finding straight lines using the Hough ... continuous image. The conversion of â and to continuous images is accomplished by using bilinear interpolation. An image algebra formulation of bilinear i...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 16 ppsx
... functional 15 , 337, 348 Concatenation of images 19 Connected component algorithms binary image component labeling 16 1 counting components by shrinking 16 6 hole filling 17 0 pruning 16 9 sequential labeling ... axis transform 14 5 Pavlidis thinning algorithm 14 3 thinning edge magnitude images 15 6 Zhang-Suen skeletonizing 15 1, 15 4 Thinning edge magnitude images 15 6 Th...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 2 potx
... second coordinate of . Image restrictions in terms of subsets of the value set is an extremely useful concept in computer vision as many image processing tasks are restricted to image domains over ... is as shown in Figure 1. 5 .1. The shaded cell in the pictorial representation of t y indicates the location of the point y. Figure 1. 5 .1 Pictorial represent...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 4 doc
... Morphological Image Processing II, vol. 15 68 of Proceedings of SPIE, (San Diego, CA), pp. 10 1 -11 2, July 19 91. 47 J. Wilson, G. Fischer, and G. Ritter, “Implementation and use of an image processing algebra ... operations in image algebra, ” in Image Algebra and Morphological Image Processing, vol. 13 50 of Proceedings of SPIE, (San Diego, CA), July 19 9...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 5 docx
... maximum of h and v at each point in X. Figure 3 .11 .1 compares the results of applying discrete differencing and the product of the difference of averages techniques. The source image (labeled 90 /10 ) ... points with integral coordinates. The transformation f : X ’ Z defined by is just such a function. The effect of applying f to a set of edge points shown in Figure 3 .12...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 6 potx
... defined by g(i, j) = {(2i, 2j), (2i + 1, 2j), (2i, 2j + 1) , (2i + 1, 2j + 1) } and be defined by The effect of this mapping is shown in Figure 3 .14 .1. Figure 3 .14 .1 Illustration of the effect of ... (iii) into the process, we define two step functions s 1 and s 2 by and Redefining g by where for k = 1, …, n - 1, results in a function which has constraints (i), (ii)...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 8 ppt
... labeling using local operators,” in Image Algebra and Morphological Image Processing IV, vol. 2030 of Proceedings of SPIE, (San Diego, CA), pp. 303- 314 , July 19 93. 6 S. Levialdi, “On shrinking binary ... terminates the “filled” image will be contained in the image variable c. The second method fills the whole domain of the source image with 1 s. Then, starting at th...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 9 pdf
... Evaluations i Binary i Reversed binary i Á 8 (i) 0 000 000 0 1 0 01 100 4 2 010 010 2 3 011 11 0 6 4 10 0 0 01 1 5 10 1 10 1 5 6 11 0 011 3 7 11 1 11 1 7 For n = 2 k and i = 0 ,1, ,n - 1 compute Á n (i) ... origin. Define N : X ’ 2 X is defined by The image algebra formulation of the opening of the image a by the structuring element B is given by The image algebra...
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