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Alternatively, you can submit it by email <a href=" : International Journal of Medical Imaging and Graphics!"></a></p> Patterns of Phytoindication Pollution of the Urban Environment the Maximum Width of the Leaves of the Silver Birch <p>We offer indicators in the form of groups of at least 10 accounting leaves growing during the growing season, selected and marked with a white thread of birch hanging from the prevailing winds. Was previously obtained regularities in the behavior of leaves in the vegetation period from the date of Bud wood to the subsidence of each account sheet. The method of measuring the width of birch leaves in the growing season is proposed.&nbsp; It was found that before reaching the maximum length, width, perimeter and area of leaves with at least 10 measurements per season, the patterns vary along the growing branch of the biotechnical law. Therefore, in the summer of 2018, measurements were carried out in the city of Yoshkar-Ola, starting from July 15 to the maximum width of the sheet, as the most convenient for measuring the parameter of the accounting sheet. It turned out that the maximum width of the sheet depends on the growing conditions of the tree. The aim is to identify the patterns of phytoindication by measuring the width of birch leaves hanging during the growing season near the maximum concentration of sulfur dioxide and carbon, the level of radioactive background at various points near the roads with the greatest pollution. The regularities of the influence of these types of pollution on the average maximum width and vegetation time from may 1, 2018 to the maximum width of the registration sheet are obtained. It turned out that even in an ecologically clean city (10th place in Russia), low concentrations are about 25 times less than MPC, have a strong influence on the growth and development of birch leaves. Initially, with an increase in the concentration of three chemicals at eight points of the urban environment have a beneficial effect on the vegetation of leaves. With further increase in concentration there is a strong inhibition of growth and development of leaves.&nbsp; The proposed method is recommended for school environmental groups.</p> Peter Matveevich Mazurkin Kudryashova A.I Copyright (c) 2019 Advances in Image and Video Processing 2019-06-28 2019-06-28 7 3 01 07 10.14738/aivp.73.6691 Differentiation between Normal and Abnormal Cases by Maximum Frequencies of Images of Breast Tissues <p>This study focuses on detection of the abnormality of various digital images taken from breast tissues and applying of maximum frequency calculation. It is found that this method gave good result to get the goal of research. The images were calculated for comparing between normal images and abnormal images by maximum values that each cells image reach to. Collection of 100 images is chosen to apply this method. Many research deal with this state [1][2][3][4]. <strong><em></em></strong></p><p><strong><em> </em></strong></p> Salim J. Attia Ziad M. Abood Ibrahim R. Agool Copyright (c) 2019 Advances in Image and Video Processing 2019-06-08 2019-06-08 7 3 08 11 10.14738/aivp.73.5125 Improved partial differential equation and fast approximation algorithm for hazy/underwater/dust storm image enhancement <p>This paper presents an improved and modified partial differential equation (PDE)-based de-hazing algorithm. The proposed method combines logarithmic image processing models in a PDE formulation refined with linear filter-based operators in either spatial or frequency domain. Additionally, a fast, simplified de-hazing function approximation of the hazy image formation model is developed in combination with fuzzy homomorphic refinement. The proposed algorithm solves the problem of image darkening and over-enhancement of edges in addition to enhancement of dark image regions encountered in previous formulations. This is in addition to avoiding enhancement of sky regions in de-hazed images while avoiding halo effect. Furthermore, the proposed algorithm is utilized for underwater and dust storm image enhancement with the incorporation of a modified global contrast enhancement algorithm. Experimental comparisons indicate that the proposed approach surpasses a majority of the algorithms from the literature based on quantitative image quality metrics.</p> Uche Nnolim Copyright (c) 2019 Advances in Image and Video Processing 2019-06-28 2019-06-28 7 3 12 29 10.14738/aivp.73.6694