A Convex Model for Edge-Histogram Specification with Applications to Edge-preserving Smoothing

The goal of edge-histogram specification is to find an image whose edge image has a histogram that matches a given edge-histogram as much as possible. Mignotte has proposed a non-convex model for the problem [M. Mignotte. An energy-based model for the image edge-histogram specification problem. IEEE Transactions on Image Processing, 21(1):379--386, 2012]. In his work, edge magnitudes of an input image are first modified by histogram specification to match the given edge-histogram. Then, a non-convex model is minimized to find an output image whose edge-histogram matches the modified edge-histogram. The non-convexity of the model hinders the computations and the inclusion of useful constraints such as the dynamic range constraint. In this paper, instead of considering edge magnitudes, we directly consider the image gradients and propose a convex model based on them. Furthermore, we include additional constraints in our model based on different applications. The convexity of our model allows us to compute the output image efficiently using either Alternating Direction Method of Multipliers or Fast Iterative Shrinkage-Thresholding Algorithm. We consider several applications in edge-preserving smoothing including image abstraction, edge extraction, details exaggeration, and documents scan-through removal. Numerical results are given to illustrate that our method successfully produces decent results efficiently

STUDY OF THE NUTRITION OF CHILDREN AGED 6 YEARS IN CONDITIONS OF SEMIBOARDING-SCHOOL OF EDUCATION

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SCREENING OF THE THYROID PATHOLOGY IN THE POPULATION OVER 60 YEARS

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HYPERPROLACTINAEMIA - ETIOLOGY, DIAGNOSIS AND TREATMENT

The problem of hyperprolactinaemia is a relatively new and the information regarding it is still controversial. The aim of the present investigation is to analyze a five-year experience of the Clinic of Endocrinology and Metabolic Diseases, Prof. Paraskev Stoyanov Medical University of Varna in this field. Eighty-six patients with high prolactin levels are analyzed: 81 females at a mean age of 32.4 years and 5 males at a mean age of 37.3 years. The patients are grouped as follows: 25 with prolactinomas, 23 with hypothalamic hyperprolactinaemia, 14 with empty sella syndrome, 6 with another hormone-secreting pituitary tumor, 4 with primary hypothyroidism and 5 with drug-induced hyperprolactinaemia. The diagnosis is based on clinical features, hormone levels, computer assisted tomography and magnetic resonance imaging. The main principles of treatment, their side effects and the results are discussed

Three-Dimensional Near-Field Microwave Holography for Tissue Imaging

This paper reports the progress toward a fast and reliable microwave imaging setup for tissue imaging exploiting near-field holographic reconstruction. The setup consists of two wideband TEM horn antennas aligned along each other's boresight and performing a rectangular aperture raster scan. The tissue sensing is performed without coupling liquids. At each scanning position, wideband data is acquired. Then, novel holographic imaging algorithms are implemented to provide three-dimensional images of the inspected domain. In these new algorithms, the required incident field and Green's function are obtained from numerical simulations. They replace the plane (or spherical) wave assumption in the previous holographic methods and enable accurate near-field imaging results. Here, we prove that both the incident field and Green's function can be obtained from a single numerical simulation. This eliminates the need for optimization-based deblurring which was previously employed to remove the effect of realistic non-point-wise antennas