Image Analysis Routines Research Articles

Microdeformations in Sands by Digital Image Processing and Analysis

Laboratory experiments are typically performed on particulate media to study stress-deformation behavior and to verify or calibrate computer models from controlled or measured boundary stresses and displacements. However, such data do not permit the formation of shear bands, displacement fields within flowing granular media, and other smallscale localized deformation phenomena to be identified. Described are two semiautomated computer vision techniques for accurately determining the two-dimensional displacement field in granular soils from video images obtained through a transparent planar viewing window. The techniques described are applicable for studying the behavior of particulate media under plane strain and certain axisymmetric test conditions. Digital image processing and analysis routines are used in two different computer programs, Tracker and Tracer, Tracker uses a graphical user interface that allows individual particles to be selected and tracked through a sequence of digital video images. A c...

Quantification of dendritic spine populations using image analysis and a tilting disector

A series of image analysis routines, stochastic geometry methodology, and a design-based stereological procedure have been developed to quantify objectively the length, layout, and the true density of neuronal dendritic spines observed at the light (or confocal) microscope level. First, the image of a dendritic fragment of interest (in the plane of view) is scaled to a standard brightness scale, and the dendritic profile is separated from the background using a computerized thresholding algorithm that analyzes the histogram of grey levels. Secondly, the resulting binary image of the dendrite is transformed to a midline skeleton that underlies the dendritic geometry. Thirdly, skeletal branch lengths are directly computed (in pixels), thus giving objective measures of visible spine lengths and inter-spine distances along the dendritic stem. These raw data are the basis for (1) an estimation of the distribution of 3D spine lengths, and (2) a nearest neighbour analysis of the spine layout along the dendrite. A design-based stereological routine, the tilting disector, is suggested for unbiased estimation of the true (3D) density of spines along dendrites. The routine involves tilting the dendritic fragment of interest around its longitudinal axis for a known angular sector and scoring the number of spines seen in one angular position and unseen in the other position. Data from a study of neuronal dendrites in the chick forebrain are presented.

Knowledge-directed interpretation of mechanical engineering drawings

A methodology for the interpretation of images of engineering drawings is presented. The approach is based on the combination of schemata describing prototypical drawing constructs with a library of low-level image analysis routines and a set of explicit control rules applied by an LR(1) parser. The resulting system (Anon) integrates bottom-up and top-down processing strategies within a single, flexible framework modeled on the human perceptual cycle. Anon's structure and operation are described and discussed, and examples of its interpretation of real mechanical drawings are shown.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Microstructural characterization of injection moulded composites using image analysis

A complete procedure for the assessment of the microstructure of discontinuous fibre composites is described. Image analysis routines are developed, which analyse scanned images of metallographically polished surfaces and evaluate spatial orientation distributions and volume fractions of the fibres. The paper deals with image analysis problems, limitations in the analysis, and the interpretation of the results.

Information extraction from images of paper-based maps

The design of a system to extract information automatically from paper-based maps and answer queries related to spatial features and structure of geographic data is considered. The foundation of such a system is a set of image-analysis algorithms for extracting spatial features. Efficient algorithms to detect symbols, identify and track various types of lines, follow closed contours, compute distances, find shortest paths, etc. from simplified map images have been developed. A query processor analyzes the queries presented by the user in a predefined syntax, controls the operation of the image processing algorithms, and interacts with the user. The query processor is written in Lisp and calls image-analysis routines written in Fortran. >

Video and scanning microdensitometer-based imaging systems in autoradiographic densitometry

The characteristics of computer-assisted imaging devices (CIDs) incorporating charge-coupled device cameras, vidicon cameras and scanning microdensitometers (SMDs) are compared. Advantages of vidicons include their low cost, the option of real-time imaging, continuously variable optical magnification and the wide choice of available vidicon elements. Disadvantages include densitometric non-linearities and, with some vidicons, lack of dynamic range. A CID comprising a laboratory minicomputer, image processing device, vidicon and SMD scanners and our ·PANDA’ image analysis routines is described. Software corrections for vidicon errors are evaluated by comparing the densitometric accuracy of the CID receiving input from the vidicon camera and from the SMD. The scanners exhibit similar densitometric accuracy and linearity, and acceptable between-session repeatability. It is concluded that densitometric precision of a corrected vidicon scanner is not the limiting factor for quantitative autoradiographic densitometry.