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 ... 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...

Ngày tải lên: 10/08/2014, 02:21

... 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) ... these images. Roughly speaking, an image consists of two things, a collection of points and a set of values associated with these points. Images are therefore endowed wit...

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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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... 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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... 348 Concatenation of images 19 Connected component algorithms binary image component labeling 161 counting components by shrinking 166 hole filling 170 pruning 169 sequential labeling 164 Cooley-Tukey ... Table of Contents INDEX A Additive maximum 27 Additive minimum 27 Averaging of multiple images 51, 347 Averaging, local 348 B Bidirectional associative memory (BAM) 296 Binary im...

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... 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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... pixelwise minimum of the lower resolution image and the original image provides for the smoothed version of the original image. The smoothened version of the original image can again be partitioned ... Florida CIS Department, Gainesville, 1989. 46 J. Wilson, “An introduction to image algebra Ada,” in Image Algebra and Morphological Image Processing II, vol. 1568 of...

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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 ... as images. One may want to map each point (y 1 , y 2 ) in Y to the point (2y 1 , 2y 2 ). In such a case, the domain of the crack edge image does not cover a rectangular subs...

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... processing,” Computer Graphics and Image Processing, vol. 4, no. 2, pp. 104 -119, 1975. 22 A. Kaced, “The K-forms: A new technique and its applications in digital image processing,” in IEEE Proceedings ... 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...

Ngày tải lên: 10/08/2014, 02:21