Browsing Cyfrifiadureg / Computer Science by Author "Zwiggelaar, Reyer"

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Browsing Cyfrifiadureg / Computer Science by Author "Zwiggelaar, Reyer"

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  • Zwiggelaar, Reyer (1995)
    Ongeveer honderd jaar geleden werd rontgenstraling voor het eerst waargenomen. Nog steeds worden niet alle aspecten van dit gedeelte van het elektromagnetische spectrum volledig begrepen. Er heeft zich een onderzoekscultuur ...
  • Holubinka, M.; Davis, A.; Zwiggelaar, Reyer; Marti, R.; Blot, L. (2002)
    Quality control in mammography is based upon subjective interpretation of the image quality of a test phantom. In order to suppress subjectivity due to the human observer, automated computer analysis of the Leeds TOR(MAM) ...
  • Oliver, A.; Torrent, A.; Llado, X.; Tortajada, M.; Tortajada, L.; Sentis, M.; Freixenet, J.; Zwiggelaar, Reyer (2012-04)
    In this paper we present a knowledge-based approach for the automatic detection of microcalcifications and clusters in mammographic images. Our proposal is based on using local features extracted from a bank of filters to ...
  • Rubin, C. M. E.; Marti, R.; Zwiggelaar, Reyer (2002)
    A novel method to obtain point correspondence in pairs of images is presented. Our approach is based on automatically establishing correspondence between linear structures which appear in images using robust features such ...
  • He, Wenda; Denton, Erika R. E.; Zwiggelaar, Reyer; Strange, Harry (2008-07)
  • Strange, Harry; Zwiggelaar, Reyer (2009-07)
    In the problem of mammographic image classification one seeks to classify an image, based on certain aspects or features, into a risk assessment class. The use of breast tissue density features provide a good way of ...
  • Williams, S.; Zhu, Y.; Zwiggelaar, Reyer (2006)
    After two decades of increasing interest and research activity, computer-assisted diagnostic approaches are reaching the stage where more routine deployment in clinical practice is becoming a possibility [Kruppinski, E.A., ...
  • Zwiggelaar, Reyer; Roscoe, Jonathan Francis; Dee, Hannah (2012)
    Ultrasound is notorious for having significant noise with a low signal-to-noise ratio. This inhibits the performance of segmentation and causes difficulty for clinical evaluation, thus noise reduction is paramount to ...
  • Mooney, M. J.; Bull, C. R.; Zwiggelaar, Reyer; Czarnes, S. (1997)
    Xray imaging is a well established technique of detecting strongly attenuating materials and has been applied to a number of inspection applications within the agricultural and food industries. However, there are still ...
  • Bull, C. R.; Zwiggelaar, Reyer (1997-10)
    There are many applications within the agricultural, food and medical sciences where it is required to detect targets that absorb X-rays in a similar way to the background material and these are therefore not easy to detect ...
  • Ouyang, F.; Blot, L.; Zwiggelaar, Reyer; Cherng, A. -. P. (2005)
    This paper deals with a non-destructive firmness estimation method using vibrational characteristics for solid fruits of oblate ellipsoidal shape. In association with the previous work, a general estimation formula is ...
  • Qi, Da; Denton, Erika R. E.; Leason, Joanna M. E.; Othman, Diaa; Zwiggelaar, Reyer (2008)
    In this paper, we describe the evaluation of the effects of mammographic semantic information in breast cancer diagnoses. A brief description of relations between semantic information and image features are given. We ...
  • Zhu, Y.; Zwiggelaar, Reyer; Williams, S. (2007)
    Three-Dimensional (3D) Active Shape Modeling (ASM) is a straightforward extension of 2D ASM. 3D ASM is robust when true volumetric data is considered. However, when the information in one dimension is sparse, pure 3D ASM ...
  • Stafford, J. V.; Zwiggelaar, Reyer; Bull, C. R. (1995)
    This paper discusses the potential of using vision systems to monitor and control arable farming operations. Several examples, predominately concerned with the detection of weeds in crops, that have been or are being ...
  • Bull, C. R.; McFarlane, N. J. B.; Zwiggelaar, Reyer; Allen, C. J.; Mottram, T. T. (1996-05-01)
    In order to implement robotic milking it is necessary to automate the inspection and cleaning of cow teats prior to milking. This paper assesses the potential of detecting manure on teats using information from a colour ...
  • Strange, Harry; Zwiggelaar, Reyer (2010-09)
    We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be reconstructed by iteratively merging these ...
  • Boggis, C. R. M.; Taylor, C. J.; Astley, S. M.; Zwiggelaar, Reyer (2004)
    We describe methods for detecting linear structures in mammograms, and for classifying them into anatomical types (vessels, spicules, ducts, etc). Several different detection methods are compared, using realistic synthetic ...
  • Parr, T. C.; Schumm, J. E.; Boggis, C. R. M.; Zwiggelaar, Reyer; Taylor, C. J.; Astley, S. M.; Hutt, I. W. (1999)
    Computer-aided mammographic prompting systems require the reliable detection of a variety of signs of cancer. In this paper we concentrate on the detection of spiculated lesions in mammograms. A spiculated lesion is typically ...
  • Onyango, Christine M.; Marchant, John A.; Zwiggelaar, Reyer (1997-06)
    No absolute certainty can be given for information derived from images. In most cases image analysis uses single algorithms, or multiple single algorithms' results which are combined in an ad hoc manner, to derive certain ...
  • Oliver, A.; Denton, Erika R. E.; Perez, E.; Zwiggelaar, Reyer; Freixenet, Jordi; Marti, R.; Pont, J. (2008-01-07)
    It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastically reduces detection sensitivity. In addition, ...

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