29 research outputs found
A Parallel Fuzzy C-Mean algorithm for Image Segmentation
This paper proposes a parallel Fuzzy C-Mean (FCM) algorithm for image segmentation. The sequential FCM algorithm is computationally intensive and has significant memory requirements. For many applications such as medical image segmentation and geographical image analysis that deal with large size images, sequential FCM is very slow. In our parallel FCM algorithm, dividing the computations among the processors and minimizing the need for accessing secondary storage, enhance the performance and efficiency of image segmentation task as compared to the sequential algorithm. such as medical image segmentation and geographical image analysis that deal with large size images, sequenrial FCM is very slow. In our parallel FCM algorithm, dividing the computations among the processors and minimizing the need for accessing secondary storage, enhance the performance and efficiency of image segmentation task as compared to the sequential algorith
Geometrical characterization of healthy red blood cells using digital holographic microscopy and parametric shape models for biophysical studies and diagnostic applications
Modeling of the red blood cell (RBC) shape is an integral part of the
experimental and computer simulation investigations of light scattering by
these cells for fundamental studies as well as diagnostic applications in the
techniques like cytometry. In the present work, a comprehensive study of the
geometrical characterization of healthy human RBCs using the digital
holographic microscopy (DHM) and six frequently employed parametric shape
models is reported. It is shown that the comparison of the optical phase
profiles, the thickness profiles given by the models with the DHM results gives
a better judgement of the appropriateness of the parametric shape models.
Results of geometrical characterization of 500 healthy RBCs in terms of volume,
surface area and sphericity index lead to the classification of the parametric
models in two categories based on the nature of variation of these quantities
with the cell diameter. In light of the variability of the healthy RBC shapes,
our findings suggest that the parametric models exhibiting a negative
correlation between the sphericity index and the cell diameter would provide
more reliable estimates of the RBC parameters in diagnostic applications.
Statistical distributions and descriptive statistics of the RBC volume, surface
area and sphericity index serve as a guide for the assessment of the capability
of the studied parametric models to give a reliable account of the variability
of the healthy RBC shape and size.Comment: 25 pages, 17 figure
Treatment of persistent organic pollutants in wastewater using hydrodynamic cavitation in synergy with advanced oxidation process
Persistent organic pollutants (POPs) are very tenacious wastewater contaminants. The consequences of their existence have been acknowledged for negatively affecting the ecosystem with specific impact upon endocrine disruption and hormonal diseases in humans. Their recalcitrance and circumvention of nearly all the known wastewater treatment procedures are also well documented. The reported successes of POPs treatment using various advanced technologies are not without setbacks such as low degradation efficiency, generation of toxic intermediates, massive sludge production, and high energy expenditure and operational cost. However, advanced oxidation processes (AOPs) have recently recorded successes in the treatment of POPs in wastewater. AOPs are technologies which involve the generation of OH radicals for the purpose of oxidising recalcitrant organic contaminants to their inert end products. This review provides information on the existence of POPs and their effects on humans. Besides, the merits and demerits of various advanced treatment technologies as well as the synergistic efficiency of combined AOPs in the treatment of wastewater containing POPs was reported. A concise review of recently published studies on successful treatment of POPs in wastewater using hydrodynamic cavitation technology in combination with other advanced oxidation processes is presented with the highlight of direction for future research focus