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Segmentation of Zeihl-Neelsen tissue slide images is an important step in computer-assisted tuberculosis bacilli detection. In Zeihl-Neelsen tissue slide image, colour is the most prominent feature to detect the presence of tuberculosis bacilli from its image. In this paper, an automatic colour image segmentation using neural network is proposed. The segmentation is based on supervised approach using...
This paper deals with ELM image processing for automatic analysis of pigmented skin lesions which represents one of the greatest challenges of dermatologic practice today. The ldquoELM 7 point checklistrdquo defines a set of seven features, based on colour and texture parameters, which describe the malignancy of a lesion. It has been revealed as faster and with the same accuracy than the traditional...
In this paper, a novel vesselness measure based on analysis of the Hessian matrix is presented. The larger eigenvalue of the Hessian matrix is used for vessel centerlines detection, while vessel orientations are estimated from the eigenvectors corresponding to the smaller eigenvalue. The vesselness measure combines information from vessel centerlines and orientations over scales to segment retinal...
The computational power and memory bandwidth of graphics processing units (GPUs) have turned them into attractive platforms for general-purpose applications. In this paper, we exploit this power in the context of biomedical image processing by establishing a cooperative environment between the CPU and the GPU. We deal with phenotype and color analysis on a wide variety of microscopic images from studies...
A new approach for quantitative and objective analysis of vibration patterns of the vocal folds is presented. Vocal fold vibrations are recorded during sustained phonation in real time using a digital high-speed system coupled to a rigid endoscope. Within these high-speed movies, the edges of the oscillating vocal folds are detected by an adapted region-growing algorithm. The used segmentation algorithm...
We introduce a method for estimating regional connectivity in diffusion tensor magnetic resonance imaging (DT-MRI) based on a fluid mechanics model. We customize the Navier-Stokes equations to include information from the diffusion tensor and simulate an artificial fluid flow. The velocity vector field of this fluid construct is then used as a connectivity metric. We generate probable connection paths...
The goal of this project is to develop an automated computer vision system to acquire and analyze images of adherent cell cultures. These cultures are involved in the establishment of a cell therapy protocol using primary cells. Cultures are stained to facilitate the image segmentation based on color information. Nevertheless, the high density and the uneven dispersion of cells favor nuclei clustering...
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