ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 8 ppt

ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 8 ppt

ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 8 ppt

... B, is the set of all points obtained by adding the points of B to the points in the underlying point set of the black pixels. An erosion can be obtained by dilating the complement of the black ... transformation that combines two sets by using vector addition of set elements. In particular, a dilation of the set of black pixels in a binary image by another set (usually c...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 15 pptx

ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 15 pptx

... the domain of the result. Examples of Image Code Fragments One may construct images. IA _Image <IA_Point<int>, int> il; // uninitialized image IA _Image& lt;IA_Point<int>, int> ... classes defined in the iac++ library are instances of the template class IA _Image& lt;P, T>, comprising the images defined over sets of points of type P having values of...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 1 ppsx

ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 1 ppsx

... computer vision algorithms in succinct algebraic form. For instance, in certain interpolation schemes it becomes necessary to switch from points with real-valued coordinates (floating point coordinates) ... References Chapter 8 Linear Image Transforms 8. 1. Introduction 8. 2. Fourier Transform 8. 3. Centering the Fourier Transform 8. 4. Fast Fourier Transform 8. 5. Discrete...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 2 potx

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 ... sup(X) (for finite point set X) infimum inf(X) (for finite point set X) choice function choice(X)  X (randomly chosen element) cardinality card(X) = the cardinality of...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 3 ppsx

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 ... neighborhoods. Another advantage of using neighborhoods instead of templates can be seen by considering the simple example of image smoothing by local averaging. Suppose...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 4 doc

ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 4 doc

... Florida CIS Department, Gainesville, 1 989 . 46 J. Wilson, “An introduction to image algebra Ada,” in Image Algebra and Morphological Image Processing II, vol. 15 68 of Proceedings of SPIE, (San ... 587 -594, 1 988 . 48 G. Fischer and M. Rowlee, “Computation of disparity in stereo images on the Connection Machine,” in Image Algebra and Morphological Image Proces...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 5 docx

ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 5 docx

... support of b. (a) The image b is an exterior 8- boundary image if B is 8- connected, B 4 A2, and B is the set of points in A2 whose 4-neighborhoods intersect A. That is, (b) The image b is an interior ... 4-boundary image if B is 4-connected, B 4 A2, and B is the set of points in A2 whose 8- neighborhoods intersect A. That is, the image b is defined by (d) The image b...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 6 potx

ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 6 potx

... the optimal curve of length n. Image Algebra Formulation The input consists of an edge magnitude image e, the corresponding direction image d, and a positive integer n representing the desired ... elements and the noise levels in the image are low. It could be used for filling in gaps left by an edge detecting-thresholding-thinning operation. Difficulties arise in the use...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 9 pdf

ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 9 pdf

... 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 equivalent of the closing of a by ... evaluation of Án will require a total of O(nlog 2 n) integer operations. The amount of integer arithmetic involved in computing Án is of the same order of magnitude a...
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ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 10 pps

ROBOTICS Handbook of Computer Vision Algorithms in Image Algebra Part 10 pps

... transform of the original image is shown in Figure 8. 7.3, and the column-by-column Haar transform of the original image is shown in Figure 8. 7.4. Figure 8. 7.3 Row-by-row Haar transform of the input image. Figure ... 8. 7.4 Column-by-column Haar transform of the input image. Computing the column-by-column Haar transform of the image in Figure 8. 7.3, or comput...
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