Search Results - "Roula, M.A."

Cellular proteomic characterization using Active Shape and Non-Gaussinan stochastic texture models by Roula, M.A.

“…This paper presents a method for the systematical extraction cellular parameters from imaging proteomic datasets in a way suitable for subsequent biological…”
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A parallel implementation of a Magnetic Induction Tomography: Image reconstruction algorithm on the ClearSpeed Advance accelerator board by Maimaitijiang, Y., Roula, M.A., Sobeihi, K., Watson, S., Williams, R.J., Griffiths, H.

“…Magnetic Induction Tomography (MIT) is a relatively new contactless imaging modality which aims at reconstructing conductivity and permittivity distributions…”
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An evolutionary snake algorithm for the segmentation of nuclei in histopathological images by Roula, M.A., Bouridane, A., Kurugollu, F.

“…This paper addresses the problem of automatic segmentation of nuclei in histopathological images. A novel method, inspired from active contour models is…”
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Unsupervised segmentation of multispectral images using edge progression and cost function by Roula, M.A., Bouridane, A., Kurugollu, F., Amira, A.

“…The paper is concerned with the development of an unsupervised segmentation algorithm for multispectral images. Due to the high dimensionality of these images,…”
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A novel technique for unsupervised texture segmentation by Roula, M.A., Bouridane, A., Amira, A., Sage, P., Milligan, P.

“…Image texture segmentation is an important problem and occurs frequently in many image processing applications. Although, a number of algorithms exist in the…”
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Fuzzy thresholding of color images using dempster-shafer theory by Kurugollu, F., Bouridane, A., Roula, M.A.

“…This paper is concerned with the development of a novel color image thresholding technique using fuzzy thresholding and Dempster-Shaferpsilas theory based…”
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A quadratic classifier based on multispectral texture features for prostate cancer diagnosis by Roula, M.A., Bouridane, A., Kurugollu, F., Amira, A.

“…This paper is concerned with the development of an automatic classification system for use in prostate cancer diagnosis. The system aims to detect and classify…”
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An FPGA based co-processor for GLCM texture features measurement by Tahir, M.A., Roula, M.A., Bouridane, A., Kurugollu, F., Amira, A.

“…Gray Level Co-occurrence Matrix (GLCM), one of the best known texture analysis methods, estimates image properties related to second-order statistics. These…”
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