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 ... S} extension domain range generic reduction “a = a(x 1 )³a(x 2 )³ ··· ³a(x n ) image sum image product image maximum image minimum image complement pseudo inve...

Ngày tải lên: 10/08/2014, 02:21

... 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 ... as 2j), (2i + 1, 2j), (2i, 2j + 1), (2i + 1, 2j + 1) in level k + 1. All other points at level k + 1 are assigned value 0. Boundary formation is repeated until level l - 1 is reached....

Ngày tải lên: 10/08/2014, 02:21

... Techniques 2. 1. Introduction 2. 2. Averaging of Multiple Images 2. 3. Local Averaging 2. 4. Variable Local Averaging 2. 5. Iterative Conditional Local Averaging 2. 6. Max-Min Sharpening Transform 2. 7. Smoothing ... useful in expressing computer vision algorithms in succinct algebraic form. For instance, in certain interpolation schemes it becomes necessary to switch fro...

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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. Sup...

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... enhanced image. Table 2. 12. 2 below describes the image algebra formulation for obtaining the enhanced image b using the histogram transform functions defined in Table 2. 12. 1. Previous Table of Contents ... 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 ori...

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... 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 subset of , all points involving ... set of edge points shown in Figure 3. 12. 1 below. Figure 3. 12. 1 The effect of applying f to a set of edge points. Comments and Observations Crack edge finding can...

Ngày tải lên: 10/08/2014, 02:21

... 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 containing the origin), say B, is the set of all points ... replace them are S2 1; = S 1 \ {28 , 30, 60, 62} and S2 2 = S 2 \ {193, 195, 22 5, 22 7}. Previous Table of Contents Next Products | Contact Us | About Us | Privacy | Ad Inf...

Ngày tải lên: 10/08/2014, 02:21

... 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 magnitu...

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... ´ 2, 3 contains a 2 2 × 2 3 = 4 × 8 version of the original image at a scale of 1/8 along the x-axis and a scale of 1/4 along the y-axis. Figure 8.7.5 Gray scale Haar transform of the input image. Figure ... tanks. Figure 9 .2. 2 Pattern used to locate fuel storage tanks. Figure 9 .2. 3 Image representation of positive normalized correlation resulting from applying the...

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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...

Ngày tải lên: 10/08/2014, 02:21