Showing papers in "Image and Vision Computing in 1983"

TL;DR: An improved digital correlation method is presented for obtaining the full-field in-plane deformations of an object by numerically correlating a selected subset from the digitized intensity pattern of the undeformed object.

TL;DR: The computer program described here, the WALKER model, maps images into a description in which a person is represented by the series of hierarchical levels, i.e. a person has an arm which has a lower-armWhich has a hand.

TL;DR: It is shown that the error-free angle output of the iterative Sobel edge detector is achieved only at the expense of a degraded edge magnitude accuracy.

TL;DR: A number of parallel algorithms for thinning elongated shapes are contrasted and compared on a Clip 4 parallel processor and new algorithms are proposed which produce more satisfactory results, but are more expensive in terms of speed and space requirements.

TL;DR: The authors have generalized and extended the generalized balanced ternary addressing system as ‘tesseral addressing and arithmetic’, showing how it can be used to render a 4-shape into a spatially correct linear quadtree.

TL;DR: Two new algorithms which minimize this cost function more efficiently are introduced and some general comments on relaxation are presented.

TL;DR: The results of applying simple digital processing algorithms to a confocal scanning optical microscope are described and improved resolution over a conventional imaging system using the same aperture and wavelength is attainable.

TL;DR: This paper describes a systolic array for the computation of n-dimensional (nD) convolutions for any positive integer n by allowing the processing elements themselves to be pipelined to an arbitrary degree.

TL;DR: Image segmentation is a subfield of image analysis whose potential for applications has stimulated both practical and theoretical research as discussed by the authors, particularly in the last decade, and a selection of papers is reviewed to give an idea of the main lines of attack that are being pursued at present.

TL;DR: The application of digital image processing techniques to chest radiographs benefit the patient by reducing the X-ray dose, as well as increasing the information that may be extracted from the image.

TL;DR: It is shown that a hypothesis generation and verification procedure can be used to improve feature representation and the requirements for robust modelling schemes are discussed.

TL;DR: Experimental results indicate that the implementation of an algorithm for computing the convex hull of a finite planar set of points is superior to the other in terms of both running time and storage requirements.

TL;DR: An algorithm for automatic image matching of a stereoscopic pair of subtraction angiograms is derived from physiological considerations about human stereoscopic depth perception and iteratively improved using the consistency property of the blood vessels as a priori knowledge.

TL;DR: Diagnostic ultrasound is a pulse echo imaging system similar to radar, sonar or exploration seismology, but also finds routine use in the examination of the organs of the upper abdomen and its use is increasing in other areas.

TL;DR: Some properties of moment invariants in digital image analysis are discussed from a theoretical viewpoint and the calculation of the moment invariant from the boundary of a region is described.

TL;DR: Various image processing algorithms for recognizing cracks and their implementation in fast electronic hardware are discussed, which should be applicable to a wide range of industries.

TL;DR: An integrated or ‘weak’ solution approach to a distributed parameter system model for dynamic image sequences forms the basis for a feature extraction and motion estimation algorithm.

TL;DR: This processor array is capable of performing the function y n = ∑ i=1 N a in x i and can be applied in many digital signal processing applications, by simply changing the matrix coefficients stored in that array.

TL;DR: In this paper, the authors discuss schemes for region digitization and boundary estimation in relation to the actual physical process of binary image acquisition, and suggest a method for obtaining an estimate of the boundary of an object from its binary image.

TL;DR: The general method for identification of the model which evoked a given image is shown to be suitable for the more specialized problem of image segmentation, a preprocessing operation fundamental to many techniques in artificial intelligence.

TL;DR: An approach to the problem of automatically locating the melting layer using image analysis techniques on dual and single polarization radar data is outlined.

TL;DR: An account is given of the four main stages in a development and implementation programme: defining the requirements of the application; matching these to the vision system; developing the application software; integrating and installing the system.

TL;DR: Characteristics of context-dependent and context-independent classifications are considered and the effects of having parallepipeds or ellipsoids as decision regions are compared.