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

... c(2 ,1) (2,3), the two underlined elements of A are combined with the two underlinedelements 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 donot overlap. In particular, the recursive template shown in Figure 1. 6 .1 can be redrawn as illustrated in Figure 1. 6.2Figure 1. 6.2 ... neighborhoods.Another advantage of using neighborhoods instead of templates can be seen by considering the simpleexample of image smoothing by local averaging. Suppose , where is an m × n array of points, and ...

... 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 theHough ... 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 ]. ... pattern matching [10 , 11 , 12 , 13 , 14 ].Computing the Fourier transform of images and ignoring the phase provides for a pattern matching approachthat is insensitive to position (Section 9.3) since a...

... functional 15 , 337, 348Concatenation of images 19 Connected component algorithms binary image component labeling 16 1counting components by shrinking 16 6hole filling 17 0pruning 16 9sequential labeling ... axis transform 14 5Pavlidis thinning algorithm 14 3thinning edge magnitude images 15 6Zhang-Suen skeletonizing 15 1, 15 4Thinning edge magnitude images 15 6Threshold selectionmaximizing between ... minimum 27Averaging of multiple images 51, 347Averaging, local 348BBidirectional associative memory (BAM) 296Binary image boundary finding 79Binary image operations 16 Blob coloring 16 1Bounded...