6 research outputs found

    No-Reference Quality Assessment of the Gaussian Blur Image Depending on Local Standard Deviation

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    No-reference measurement of blurring artifacts in images isa difficult problem in image quality assessment field. In this paper, we present a no-reference blur metric to estimatethe quality of theimages. These images are degraded using Gaussian blurring. Suggestion method depends on developing the Mean of Locally Standard deviation this method is called Blur Quality Metric (BQM) and itcalculatesby using gamma correction and reblurring the image again And the BQM is compared with the No-reference Perceptual Blur Metrics (PBM)and the Entropy of the First Derivative (EFD) Image; the BQM is a simple metric and gives good accuracy in metrics the quality for theGaussian blurred image if it compared with another algorithms. The BQM satisfied high correlation coffecion compared with another method. Keywords: No-referencequality assessment, Gaussian blurring, Standard deviation, mean

    Using Lognormal Function to Measure Negative Chromatic Dispersion of Broadband Photonic Crystal Fiber

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    Negative chromatic dispersion curves in a highly dispersive dual-concentric core pure silica photonic crystal fiber (PCF) have been investigated and measured. Our investigation depends on a simulation process for previous experimental results that were obtained by plane wave expansion (PWE) method. In the presented simulation process an approximation function will be considered to create a mathematical model that enables us to measure chromatic dispersion curves in this typical type of PC.The variations in the  dispersion band-width that product as a function of lattice constant variation and air- holes diameters of lattice structure were carefully observed using Log normal approximation function. The obtained results by lognormal function match well with these obtained by PWE This work is devoted to supply fibers manufacturers with a précised  model that can evaluate PCF performance by measuring negative dispersion and dispersion band-width theoretically and accurately. Keywords: Chromatic dispersion, Photonic crystal fiber, lognormal function, Lattice structure parameters

    Pupil Detection Based on Color Difference and Circular Hough Transfor

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    Human pupil eye detection is a significant stage in iris segmentation which is representing one of the most important steps in iris recognition. In this paper, we present a new method of highly accurate pupil detection. This method is consisting of many steps to detect the boundary of the pupil. First, the read eye image (R, G, B), then determine the work area which is consist of many steps to detect the boundary of the pupil. The determination of the work area contains many circles which are larger than pupil region. The work area is necessary to determine pupil region and neighborhood regions afterward the difference in color and intensity between pupil region and surrounding area is utilized, where the pupil region has color and intensity less than surrounding area. After the process of detecting pupil region many steps on the resulting image is applied in order to concentrate the pupil region and delete the others regions by using many methods such as dilation, erosion, canny filter, circle hough transforms to detect pupil region as well as apply optimization to choose the best circle that represents the pupil area. The proposed method is applied for images from palacky university, it achieves to 100 % accura

    Theoretical Measuring for Negative Chromatic Dispersion Curves of Photonic Crystal Fiber by Gaussian Function

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    Negative dispersion curves in a typical type of high negative chromatic dispersion photonic crystal fiber(PCF) have been investigated in this paper. The depended class of (PCF) has double-core structure (core- region: which has inner core and outer core) with a honeycomb photonic lattice in the cladding region. Negative dispersion curves deviated from core-region of this type of fibers will be investigated. The investigation has depended an estimation process using an approximation function to create a mathematical model that enables us to measure negative dispersion curves. The influence of inner-core parameters (dcore d1 and d2) on dispersion curves has been investigated by varying the values of these parameters.  Negative dispersion curves that were introduced by a previous study using finite-difference frequency-domain (FDFD)method for this class of(PCFs) are directly included in this work in order  to measure matching ratio with our results.   Gaussian approximation function has been considered to estimate our mathematical model. Keywords: Photonic crystal fiber, Theoretical model, Negative chromatic dispersion, Gaussian function

    Optical Microscopy Images Enhancement Using YCbCr Color Space Based on Nonlinear Mapping

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    Improving medical images captured by the optical microscope plays an essential role in many medical, radiological, and other applications in the medical field. In this study, the microscope image was improved based on the color conversion (Ycbcr) and the transformation nonlinear mapping, where the lighting component (Y) was processed based on the nonlinear transformation and fuzzy technique, and the color component was improved using (CLAHE) algorithm. The proposed algorithm was compared with several modern algorithms based on non-referenced quality measures. Analyzing the proposed results has obtained the best quality measures with high values of EN (7.0701), AG (14.6901), and MSD (55.8363)

    Estimate the Relationship Between Track Density and Radon Concentration: Hazard Effects in Euphrates River of Karbala-Iraq

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    Due to the population's health risk, radon has emerged as a major worldwide health problem. 50% of the total eugenic radiation dose is caused by radon and its progenies; therefore, pollution of river water with minerals and radon that cause serious harm to human health. Through the practical results obtained, the theoretical results were linear and a high correlation coefficient. Radon concentrations were measured with CR-39 nuclear track detectors (NTDs). Radon gas concentration and annual effective dose were below the recommended limits. This indicates that the water of the Euphrates River is safe for aquatic life
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