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

... 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 of this technique when ... programming. Dynamic programming in this particular case involves the definition and evaluation of a figure -of- merit (FOM) function that embodies a notion of “best curvatur...

Ngày tải lên: 10/08/2014, 02:21

... 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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... 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) ... Preserve Homotopy 5.7. Thinning Edge Magnitude Images 5.8. References Chapter 6 Connected Component Algorithms 6. 1. Introduction 6. 2. Component Labeling for Binary Images...

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... 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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... Florida CIS Department, Gainesville, 1989. 46 J. Wilson, “An introduction to image algebra Ada,” in Image Algebra and Morphological Image Processing II, vol. 1 568 of Proceedings of SPIE, (San ... operations in image algebra, ” in Image Algebra and Morphological Image Processing, vol. 1350 of Proceedings of SPIE, (San Diego, CA), July 1990. 58 R. Gonzalez an...

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... set of points in A2 whose 8-neighborhoods intersect A. That is, the image b is defined by (d) The image b is an interior 4-boundary image if B is 4-connected, B 4 A, and B is the set of points in ... point (2y 1 , 2y 2 ). In such a case, the domain of the crack edge image does not cover a rectangular subset of , all points involving two odd or two even coordinates are m...

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... 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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... 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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... 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 ... 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 computing the row-by-r...

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... to continuous image. The conversion of â and to continuous images is accomplished by using bilinear interpolation. An image algebra formulation of bilinear interpolation can be found in [15]. ... 9.5.4 SPOMF of image and pattern shown in Figure 9.5.3 A straight “line” in the sense of the Hough algorithm is a colinear set of points. Thus, the number of points in a...

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