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Image enhancement in scanning optical microscopyTan, Juan Boon January 1995 (has links)
No description available.
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Accelerometry for the computer recognition of arm gestures of people with impaired limb controlHarrington, Marian January 1996 (has links)
No description available.
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Pattern Recognition Applied to the Computer-aided Detection and Diagnosis of Breast Cancer from Dynamic Contrast-enhanced Magnetic Resonance Breast ImagesLevman, Jacob 21 April 2010 (has links)
The goal of this research is to improve the breast cancer screening process based on magnetic resonance imaging (MRI). In a typical MRI breast examination, a radiologist is responsible for visually examining the MR images acquired during the examination and identifying suspect tissues for biopsy. It is known that if multiple radiologists independently analyze the same examinations and we biopsy any lesion that any of our radiologists flagged as suspicious then the overall screening process becomes more sensitive but less specific. Unfortunately cost factors prohibit the use of multiple radiologists for the screening of every breast MR examination. It is thought that instead of having a second expert human radiologist to examine each set of images, that the act of second reading of the examination can be performed by a computer-aided detection and diagnosis system. The research presented in this thesis is focused on the development of a computer-aided detection and diagnosis system for breast cancer screening from dynamic contrast-enhanced magnetic resonance imaging examinations. This thesis presents new computational techniques in supervised learning, unsupervised learning and classifier visualization. The techniques have been applied to breast MR lesion data and have been shown to outperform existing methods yielding a computer aided detection and diagnosis system with a sensitivity of 89% and a specificity of 70%.
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Sampling strategy and accuracy assessment for digital terrain modellingLi, Zhilin January 1990 (has links)
No description available.
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Digital image compressionAbdul-Amir, Said January 1985 (has links)
Due to the rapid growth in information handling and transmission, there is a serious demand for more efficient data compression schemes. compression schemes address themselves to speech, visual and alphanumeric coded data. This thesis is concerned with the compression of visual data given in the form of still or moving pictures. such data is highly correlated spatially and in the context domain. A detailed study of some existing data compression systems is presented, in particular, the performance of DPCM was analysed by computer simulation, and the results examined both subjectively and objectively. The adaptive form of the prediction encoder is discussed and two new algorithms proposed, which increase the definition of the compressed image and reduce the overall mean square error. Two novel systems are proposed for image compression. The first is a bit plane image coding system based on a hierarchic quadtree structure in a transmission domain, using the Hadamard transform as a kernel. Good compression has been achieved from this scheme, particularly for images with low detail. The second scheme uses a learning automata to predict the probability distribution of the grey levels of an image related to its spatial context and position. An optimal reward/punishment function is proposed such that the automata converges to its steady state within 4000 iterations • such a high speed of convergence together with Huffman coding results in efficient compression for images and is shown to be applicable to other types of data. . The performance and evaluation of all the proposed .'systems have been tested by computer simulation and the results presented both quantitatively and qualitatively."The advantages and disadvantages of each system are discussed and suggestions for improvement. given.
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Algorithms for the removal of hidden edges from computer representations of solid objectsMaghrabi, Saud M. A. January 1990 (has links)
No description available.
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Software architectures for visual concept refinement in digital mappingWright, Christopher Paul January 1995 (has links)
No description available.
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A new approach in image data compression by multiple resolution frame-processingStrohbeck, Uwe January 1999 (has links)
No description available.
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Application of artificial neural networks for speaker identificationMak, Man Wai January 1993 (has links)
No description available.
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Optical fibre communications : signal processing to accommodate system impairmentsWatkins, L. R. January 1991 (has links)
No description available.
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