6 research outputs found

    Shadow Detection and Removal Using Tri-Class Based Thresholding and Shadow Matting Technique

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    AbstractShadow detection and removal in real scene images are always a significant problem. This work aims to address the problem of shadow detection and removal from urban high resolution remote sensing images. To detect shadow from images a pre processing step is performed. Triclass Thresholding technique is used for segmentation and it is based on Otsu's method. Using this iterative method the images are separated into three classes that are foreground region, background region and to-be-determined region. Then Otsu's method is applied only to to-be-determined region iteratively. After segmentation shadow in the images are detected using bimodal histogram splitting method. Then the false shadow including water bodies, vegetation and some dark objects are eliminated by considering spectral and geometric features. Also an additional method called pair wise region based detection is used to accurately detect the shadow. So image is clustered by using K-mean Algorithm and to detect shadow by comparing colour and the ratio of intensities in the adjacent pair. Finally shadow matting called soft matting technique is used to obtain shadow free image. Results show that the new method accurately detects shadow and can efficiently restore shadow with 90.57% accuracy

    Assessment of total antioxidant capacity and antimicrobial activity of Glycyrrhiza glabra in saliva of HIV-infected patients

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    Objectives: The objectives of this study were to evaluate the antimicrobial activity and total antioxidant capacity (TAC) of licorice in Saliva of HIV/AIDS patients. Materials and Methods: Saliva specimens were collected from 20 people living with HIV infection, with CD4 count <500 cells/mm3 from people infected with HIV/AIDS in Mangalore city, India. A combination of amoxicillin-clavulanic acid and nystatin was taken as the positive control and normal saline as negative control. Results were compared using one-way analysis of variance followed by Tukey's post hoc analysis in SPSS 19. Results: The TAC was evaluated spectrophotometrically at 695nm using the phosphomolybdenum method. Glycyrrhiza glabra showed a statistically significant reduction (P < 0.05) in total Candida count. The TAC of G. glabra was found to be 4.467 mM/L. Conclusions: G. glabra extracts showed good anticandidal activity and also high antioxidant property which reduces the oxidative stress of HIV-infected people

    A Descriptive Review of Epidemiology of COVID–19 in Smokers

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    Coronavirus disease 2019 caused by SARS Cov 2, gains entry to bronchial epithelial cells by binding of the viral spike protein to angiotensin-converting enzyme-2 (ACE-2) receptors. We conducted a non - systematic review of databases with (English articles only), PubMed, Google Scholar using keywords like “COVID-19,” “SARS-CoV-2,” “novel coronavirus,” smoking,” “smokers,” “nicotine.” A total of 33 articles were reviewed. Smokers were 1.4 times more likely to have severe COVID-19 (RR=1.4 95% CI: 0.98-2.00), and 2.4 times more likely to require an ICU admission (RR= 2.4 CI: 1.43-4.04) when compared to non-smokers (n=926). Current smokers were less likely to experience an adverse outcome (OR: 0.42, 95% CI: 0.24–0.74), compared to former smokers.&nbsp; 22% of current smokers and 46% of former smokers had more severe complications. Current smokers had a case fatality rate of 38.5% (n=1790) and higher odds of mortality (OR= 1.25) especially males &gt;65 years (OR=2.51). Public education about smoking cessation should be implemented along with standard guidelines to prevent disease progression
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