Advances in Imaging and Electron Physics, Vol. 92 by Peter W. Hawkes (Ed.)

By Peter W. Hawkes (Ed.)

This quantity contains chapters discussing photo enhancement and propagation, and box behaviour in hugely anisotropic media. it truly is meant for researchers in optical technology, electric engineering, photograph processing and mechanical engineering.

Show description

Read or Download Advances in Imaging and Electron Physics, Vol. 92 PDF

Similar imaging systems books

Pattern Recognition and Signal Analysis in Medical Imaging

Clinical Imaging has develop into probably the most vital visualization and interpretation tools in biology and medecine over the last decade. This time has witnessed an incredible improvement of recent, robust tools for detecting, storing, transmitting, studying, and exhibiting clinical photographs. This has ended in a big development within the program of electronic processing thoughts for fixing clinical difficulties.

Microscopic Image Analysis for Life Science Applications (Bioinformatics & Biomedical Imaging)

Bioimaging in lifestyles sciences is a burgeoning zone that's of growing to be curiosity to present day execs and researchers within the box. this can be the 1st ebook that bridges the space among biomedical imaging and the bioscience neighborhood. This certain source provides pros a close knowing of imaging structures, fluorescence imaging, and basic photo processing algorithms.

Morphological Image Processing: Architecture and VLSI design

Precis in response to the reviews of prior designs and the end result of contemporary reviews within the comparisons of low-level snapshot processing architectures, a pipelined approach for actual­ time low-image processing has been designed and discovered in CMOS know-how. to lessen layout pitfalls, a learn was once played to the main points of the layout strategies which have been present in embodimentsof the 3 major architectural teams of photograph processing; the sq. Processor Arrays, the Linear Processor Arrays and the Pipelines.

Hexagonal Image Processing: A Practical Approach (Advances in Computer Vision and Pattern Recognition)

The sampling lattice used to digitize non-stop picture information is a signi? cant determinant of the standard of the ensuing electronic picture, and for this reason, of the e? cacy of its processing. the character of sampling lattices is in detail tied to the tessellations of the underlying non-stop picture airplane. to permit uniform sampling of arbitrary dimension photos, the lattice must correspond to a typical - spatially repeatable - tessellation.

Extra resources for Advances in Imaging and Electron Physics, Vol. 92

Example text

DETAIL ENHANCEMENT Image analysis is a generic expression, mostly designating a variety of tasks to be carried out all at the same time. One of these tasks is the preservation or the enhancement of high spatial-frequency patterns-for instance, those representing human artifacts such as roads, channels, buildings, or urban settlements, embedded into a natural background in remote sensing views. However, a high spatial-frequency content is no peculiar feature of detail patterns, being shared with many natural textures.

The method of Chochia considers the current pixel p = ( x , y ) as the center of two windows, V and U C V , of different size, containing A4 and m pixels, respectively. , with m = 5 , is expected to be homogeneous, while V is considerably larger and can also contain several homogeneous regions. The background image pn(x,y) results, at the nth iteration, from a converging median filtering process. This filter performs an edge-preserving smoothing, as it averages f ( x , y) only with neighbors that are estimated to belong to the same region as (x, y), since their gray-value differences, with respect to f ( x , y), do not exceed a given threshold.

In one of these approaches Q is determined on the basis of the second-order statistics of the local gray-value distribution inside U,since the first-order statistics alone does not take account of the spatial relationships between gray values. With reference to Fig. 19a, let us consider the distribution of the absolute differences d(c, n) between the gray values of pixels A and B of U at a distance c and at an orientation of n n / 4 . The basic idea of this approach, supported by theoretical and empirical considerations, is to consider the degree of spatial order related to some kind of cluster separation measure in an opportune space, spanned by the features d(c, n), for various values of the parameters c and n.

Download PDF sample

Rated 4.41 of 5 – based on 32 votes