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Image Processing And Its Applications, 1999. Seventh International Conference on (Conf. Publ. No. 465)

Date 1999

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  • Automatic classification and recognition of shoeprints

    Publication Year: 1999, Page(s):638 - 641 vol.2
    Cited by:  Papers (10)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (272 KB)

    The most common clues left at a crime scene when a crime is committed are shoeprint impressions. These impressions are useful in the detection of criminals and the linking of crime scenes. We are currently working on a fully automatic system utilising novel fractal pattern matching techniques which allow the investigating officer(s) to match collected impressions against a database of known shoepr... View full abstract»

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  • Estimating dense motion fields using a local two-component model

    Publication Year: 1999, Page(s):696 - 700 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (632 KB)

    This paper describes a region based approach to computing dense estimates of 2-D motion fields in image sequences. By dense we mean that we would like to have an estimate of the motion at each pixel location at any point in the sequence. In comparison with alternatives, such as optical flow methods, region based approaches to this problem have a number of advantages. Since they involve correlating... View full abstract»

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  • Remote bar-code localisation using mathematical morphology

    Publication Year: 1999, Page(s):642 - 646 vol.2
    Cited by:  Papers (5)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (364 KB)

    Bar-code labels are used in industry to identify and classify a wide variety of products, tools and equipment, their reading generally being undertaken via a laser scanning system. In most cases the number, position and orientation of the bar-codes are well known. However, a particular application under consideration here involves the identification of radioactive material containers via their bar... View full abstract»

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  • Wordlength estimation for the enhancement of hand-written word recognition

    Publication Year: 1999, Page(s):750 - 754 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (240 KB)

    Although the problem of recognising machine printed words has been largely solved using available techniques, no ideal solution has been found for the problem of hand-written word recognition, especially with cursive script. This paper describes a method which can be used to estimate the length of hand-written words. The method shares a number of components with recognition techniques. It does not... View full abstract»

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  • Learning structural change for identification and tracking of vehicles moving in open world scenes

    Publication Year: 1999, Page(s):706 - 710 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (432 KB)

    This paper describes a system, which is able to track multiple man made objects, typically vehicles moving in a natural open world scene. The system interprets changes in structural features in the scene across consecutive image frames and uses the change in structure to identify and track man made objects (target). No a priori knowledge of any structure within the image is assumed. Differences in... View full abstract»

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  • A common image processing framework for 2D barcode reading

    Publication Year: 1999, Page(s):652 - 655 vol.2
    Cited by:  Papers (22)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (208 KB)

    The present work describes an image processing system able to locate, segment and decode the most common 2D symbol used in bar code applications. The different symbol are treated by exploiting their similarities, in order to achieve an unified computational structure View full abstract»

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  • Temporal knowledge for cooperative distributed vision

    Publication Year: 1999, Page(s):726 - 730 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (300 KB)

    The development of a distributed vision system (DVS) performing continuous surveillance is an interesting area of investigation. We are interested in the interpretation of wide areas, this constraint means that numerous sensors have to be distributed in space and have to cooperate in order to obtain a global interpretation. In the European community the SMART project, close to the video surveillan... View full abstract»

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  • A fast adaptive superresolution technique for image restoration

    Publication Year: 1999, Page(s):827 - 831 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (272 KB)

    The authors propose a fast adaptive method of superresolution using a Wiener filter in conjunction with iteration for projection onto convex sets (POCS). The algorithm is robust and adaptive in noise reduction and has very fast convergence. Moreover the algorithm does not require knowledge of the point spread function (psf) of the imaging system View full abstract»

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  • Using 3D structure and anisotropic diffusion for object segmentation

    Publication Year: 1999, Page(s):532 - 536 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (476 KB)

    We describe an advanced technique that can be employed to carry out the segmentation task. The goal is the development of a system capable of solving the segmentation problem in most situations encountered in video sequences taken from real world scenes. For this aim the presented segmentation scheme comprises different processing steps implemented as independent modules. The core of the system is... View full abstract»

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  • Staff line restoration

    Publication Year: 1999, Page(s):760 - 764 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (220 KB)

    Optical music recognition (OMR), the conversion of scanned pages of music into a musical database, has reached an exciting level of maturity. Like optical character recognition, it has now reached the point where the returns in accuracy from increasingly sophisticated pattern recognition algorithms appears saturated and more significant gains are being made from the application of structured a pri... View full abstract»

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  • Mosaic image segmentation with bias field correction

    Publication Year: 1999, Page(s):861 - 864 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (252 KB)

    This paper presents an automatic method of correcting nonuniform RF coil response for the classification of body composition using MR imaging. By linear mosaic modelling, the smoothly but nonlinearly varying bias field which modulates tissue intensities within the image was corrected. The overlapping between adjacent mosaics ensured consistent segmentation of body fat content and the effectiveness... View full abstract»

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  • Phase unwrapping of multibaseline interferometry using Kalman filtering

    Publication Year: 1999, Page(s):813 - 817 vol.2
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (260 KB)

    In this paper we present a new phase unwrapping method for multiple interferometric SAR measurements, which is based on Kalman filtering. We consider phase images as a sequence of measurements and apply 3-D Kalman filtering to effectively combine those measurements. We also use the pseudointerferogram to reduce the phase aliasing. We investigate a multi-model approach to deal with phase discontinu... View full abstract»

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  • Arithmetic coding with sliding window for control-point based image compression

    Publication Year: 1999, Page(s):601 - 604 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (312 KB)

    A new sliding-window arithmetic coding method is presented. It is suitable for coding points in image compression applications. In this paper, it is used for gray-level image compression, where both the positions and gray-values of the points have to be coded. The presented method gives a gain of 50-200 percent in compression ratios compared to the Huffman method used by Toivanen (1998). Furthermo... View full abstract»

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  • Extracting curvilinear features from millimetre radar data

    Publication Year: 1999, Page(s):537 - 541 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (380 KB)

    This paper describes an optimisation framework for fitting Bezier splines to noisy image features. The novel contributions are three-fold. Firstly, we describe how a template-based feature enhancement operator can be learned using a variant of the exponential correlation associative memory (ECAM). Secondly, we show how a uniformly initialised mesh of Bezier spline control points can be fitted to t... View full abstract»

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  • Multiscale edge detection: a discussion on feature visibility

    Publication Year: 1999, Page(s):547 - 551 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (432 KB)

    Centroid attraction is a multiscale approach to edge detection, which has been developed by the authors. It has been designed particularly for the analysis of synthetic aperture radar (SAR) data. We describe the method and explore one performance issue-that of feature size visibility. It is shown that in the simplest noise-free case, the feature must occupy at least half the filter window in order... View full abstract»

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  • Wavelet transforms for use in motion detection and tracking application

    Publication Year: 1999, Page(s):711 - 715 vol.2
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (252 KB)

    This paper presents, an algorithm using wavelets to detect objects from motion. The algorithm is designed to be part of a vehicle tracking system. The main aim is to integrate information from Gabor and Mallat (1992) wavelet transforms to improve the accuracy and speed of vehicle detection. The Gabor-wavelet analysis allows a rapid estimation of image flow vectors with low spatial resolution. Furt... View full abstract»

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  • Fetal echocardiographic image segmentation using neural networks

    Publication Year: 1999, Page(s):507 - 511 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (284 KB)

    This paper discusses supervised and unsupervised neural network approaches to fetal echocardiographic image segmentation. The obtained results were compared with images segmented by a known unsupervised clustering technique (i.e. k-means). The visual aspect of the segmented images was evaluated with respect to its visual quality by an expert. A subset of the segmented images showed sufficient deta... View full abstract»

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  • Fast image fusion with a Markov random field

    Publication Year: 1999, Page(s):557 - 561 vol.2
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (268 KB)

    The author demonstrates that the relatively quick fusion of edge information across a number of registered images (possibly from different sensors) is possible using a Markov random field approach. The speed of the method relies on the fixing the pixel value and only optimising the boundary parameter in the model. This more simple optimisation can be undertaken with the demonstrably less computati... View full abstract»

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  • A nonrigid-body approach to matching mammograms

    Publication Year: 1999, Page(s):484 - 488 vol.2
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (360 KB)

    This paper has explored the use of a nonrigid-body approach to mammogram registration. Mammogram registration is inherently complicated by factors such as the inhomogeneous composition of the breasts and their nonrigid behavior. We have developed a technique which accounts for such nonrigid-body idiosyncrasies and allows corresponding mammograms to be registered for subsequent fusion. Future work ... View full abstract»

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  • Page similarity and the Hausdorff distance

    Publication Year: 1999, Page(s):755 - 759 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (276 KB)

    The VideoWriter is a real-time system that uses digitized images from a computer-controlled video camera to find the location of pages on a desktop. Once an image of a page is extracted, the system must determine if the page has been previously stored. We investigate the use of the Hausdorff distance metric to compare two-level versions of page images. The Hausdorff distance metric does not requir... View full abstract»

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  • Computerized classification of breast lesions: shape and texture analysis using an artificial neural network

    Publication Year: 1999, Page(s):517 - 521 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (244 KB)

    In this study we have investigated two groups of features: shape features, extracted from microcalcifications and texture features, extracted from the original regions of interest (ROI), in order to classify early breast cancers which have microcalcifications associated. These features were analyzed using different topologies of the artificial neural network (ANN) multi-layer perceptron (MLP). The... View full abstract»

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  • Tracking using self-initialising active meshes

    Publication Year: 1999, Page(s):701 - 705 vol.2
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (304 KB)

    This paper describes a method of visual tracking using an `active-mesh' that is automatically created and configured directly from a single frame of an image sequence. The aim of this approach is to perform visual tracking in unconstrained motion environments, allowing movement of the camera, the scene and even the inclusion of background-independent moving objects View full abstract»

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  • High-resolution image reconstruction from multiple low-resolution images

    Publication Year: 1999, Page(s):596 - 600 vol.2
    Cited by:  Papers (1)  |  Patents (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (312 KB)

    In this paper, we demonstrate a digital signal processing (DSP) algorithm for improving spatial resolution of images captured by CMOS cameras. The basic approach is to reconstruct a high resolution (HR) image from a shift-related low resolution (LR) image sequence. The aliasing relationship of Fourier transforms between discrete and continuous images in the frequency domain is used for mapping LR ... View full abstract»

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  • Hybrid neural network for the identification of narcotics and explosives

    Publication Year: 1999, Page(s):784 - 788 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (180 KB)

    Raman spectroscopy proves to be a versatile technique for forensic tasks. Whilst it is very easy and fast to record a spectrum, it may be very time-consuming for the non-experts (and even the experts) to identify chemicals from the large database of Raman spectra of these materials. Parallel developments in the field of neural networks have come to a stage that they can participate well in the rec... View full abstract»

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  • Handwritten digits parameterisation for HMM based recognition

    Publication Year: 1999, Page(s):770 - 774 vol.2
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (224 KB)

    Handwriting classification or recognition methods based on neural networks (NN) have been extensively studied and they are now well known. This process, which parameterises the geometric structure of the digits as a previous stage to their recognition by the neural network, has the inconvenience of ignoring the sequential character of handwriting. The method proposed explores the improvement intro... View full abstract»

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