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Download Advances in Imaging and Electron Physics, Volume 178 by Peter W. Hawkes PDF

By Peter W. Hawkes

Advances in Imaging and Electron Physics features state of the art articles at the physics of electron units (especially semiconductor devices), particle optics at low and high energies, microlithography, picture technological know-how and electronic photograph processing, electromagnetic wave propagation, electron microscopy, and the computing equipment utilized in a majority of these domain names.

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* Contributions from major specialists * Informs and updates on the entire most recent advancements within the box

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Additional resources for Advances in Imaging and Electron Physics, Volume 178

Example text

17 gives an illustration of how affine in variance can be obtained from this affine scale-space concept by normalizing a local image patch to an affine invariant reference frame. Combined with derivative operations, the affine Gaussian scale-space concept also serve as a natural idealized model for filter banks (Freeman & Adelson 1991, Simoncelli et al. 1992) consisting of elongated directional filters (Perona 1992). In practice, there are two principally different ways of computing scalespace representations under affine alignment d either by deforming the filter shapes or by deforming the image data before the smoothing operation.

2013 Tony Lindeberg. ) 41 Generalized Axiomatic Scale-Space Theory In Hall et al. (2000), Linde & Lindeberg (2004), Burghouts & Geusebroek (2009), van de Sande et al. (2010), Linde & Lindeberg (2012), Zhang et al. (2012), it is shown how such color-opponent spatiochromatic receptive fields, in combination with regular spatial receptive fields, can constitute a very effective basis for object recognition. 5. Uniqueness of the Gaussian Kernel on a Spatial Domain The Gaussian scale-space concept satisfies the requirements of (1) linearity, (2) shift invariance, (3) semigroup property, (4) existence of an infinitesimal generator, (5) non-creation of local extrema, (6) non-enhancement of local extrema, (7) rotational symmetry, (8) positivity, (9) normalization, and (10) scale invariance.

18. 17 Illustration of how the affine Gaussian scale-space concept can be used for reducing the influence of perspective image deformations. The left column shows three views of a book with different amount of perspective foreshortening due to variations in the viewing direction relative to the surface normal of the front side of the book. The right column shows the result of performing an affine normalization of a central window in each image independently by performing an affine warping to an affine invariant reference frame computed from an affine invariant fixed point in affine scale-space using the affine shape adaptation method proposed in Lindeberg & Gårding (1997).

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