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By Peter W. Hawkes (Eds.)

ISBN-10: 0120147610

ISBN-13: 9780120147618

Advances in Imaging and Electron Physics merges long-running serials-Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The sequence good points prolonged articles at the physics of electron units (especially semiconductor devices), particle optics at low and high energies, microlithography, photograph technology and electronic photo processing, electromagnetic wave propagation, electron microscopy, and the computing tools utilized in these types of domain names.

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VARDAVOULIA, A. GASTERATOS, AND I. ANDREADIS D. Vector Standard Morphological Operation Implementation The block diagram of a new hardware structure that performs vector erosion or dilation of a color image f by a color 3 × 3-pixel structuring element g, both of 24-bit resolution, is presented in Figure 16. The input image f may be of any dimension. Consider that the 3 × 3-pixel window defined by the domain G of g is located at spatial coordinates x, including the nine vectors of the input image, vecimj (1 ≤ j ≤ 9).

These registers provide the n × k max(l)/min(l) of the n multisets concurrently to the last stage OSM, which computes the final result according to Eqs. (55) and (56). C. Histogram Technique A method for computing an order statistic is to sum the values in the local histogram until the desired order statistic is reached (Dougherty and Astola, 1994). However, instead of adding the local histogram values serially, a successive approximation technique can be adopted (Gasteratos and Andreadis, 1999).

Max ({k ♦ ( f (x − y) + λi (y))} ∪ { f (x − z) + μi (z)})] (x−y)∈B1 (x−z)∈B2 where N is the number of the elements of the multiset. However, if an element is not greater than the local (N − k)th-order statistic, then it cannot be greater than the global (N − k)th-order statistic. Therefore, the terms max(N), . . , max(k+1) can be omitted: f ⊕ [α, β, k](x) n = max(k) [ max(k) ({k ♦ ( f (x − y) + λi (y))} ∪ { f (x − z) + μi (z)}), i=1 (x−y)∈B1 (x−z)∈B2 max(k−1) ({k ♦ ( f (x − y) + λi (y))} ∪ { f (x − z) + μi (z)}), (x−y)∈B1 (x−z)∈B2 ..

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Aspects of Image Processing and Compression by Peter W. Hawkes (Eds.)


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