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Journal articles on the topic 'Histogram'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Kala, Zdeněk. "FUZZY PROBABILITY ANALYSIS OF THE FATIGUE RESISTANCE OF STEEL STRUCTURAL MEMBERS UNDER BENDING/FUZI TIKIMYBINĖ ANALIZĖ VERTINANT LENKIAMŲ PLIENINIŲ ELEMENTŲ ATSPARĮ NUOVARGIUI." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 14, no. 1 (2008): 67–72. http://dx.doi.org/10.3846/1392-3730.2008.14.67-72.

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The paper is aimed at the fuzzy probabilistic analysis of fatigue resistance due to uncertainty of input parameters. The fatigue resistance of the steel member is evaluated by linear fracture mechanics as the number of cycles leading to the propagation of initial cracks into a critical crack resulting in brittle fracture. When the histogram of stress range is known, the fatigue resistance is a random variable. In the event that the histogram is unknown or was acquired from a small number of experiments, another source of uncertainty is of an epistemic origin. Two basic approaches, which make p

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Maksymiv, Mykola, and Taras Rak. "Methods to Increase the Contrast of the Image with Preserving the Visual Quality." Advances in Cyber-Physical Systems 6, no. 2 (2021): 140–45. http://dx.doi.org/10.23939/acps2021.02.140.

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Contrast enhancement is a technique for increasing the contrast of an image to obtain better image quality. As many existing contrast enhancement algorithms typically add too much contrast to an image, maintaining visual quality should be considered as a part of enhancing image contrast. This paper focuses on a contrast enhancement method that is based on histogram transformations to improve contrast and uses image quality assessment to automatically select the optimal target histogram. Improvements in contrast and preservation of visual quality are taken into account in the target histogram,

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Goldstein, Alexandra, and Kam Y. J. Zhang. "The Two-Dimensional Histogram as a Constraint for Protein Phase Improvement." Acta Crystallographica Section D Biological Crystallography 54, no. 6 (1998): 1230–44. http://dx.doi.org/10.1107/s0907444998001863.

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The joint distribution of electron density and its gradient in a protein electron-density map was examined. This joint distribution was represented by a two-dimensional histogram (2D histogram) of electron-density values and the modulus of the gradient. 16 structures representing distinct protein-fold families were selected to study the dependence of the 2D histogram on resolution, overall temperature factor, structural conformation and phase error. The similarity between the histograms for a pair of structures was measured by correlation coefficient, and the residual provided a measure of the

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Dhal, Krishna Gopal, Sankhadip Sen, Kaustav Sarkar, and Sanjoy Das. "Entropy based Range Optimized Brightness Preserved Histogram-Equalization for Image Contrast Enhancement." International Journal of Computer Vision and Image Processing 6, no. 1 (2016): 59–72. http://dx.doi.org/10.4018/ijcvip.2016010105.

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In this study the over-enhancement problem of traditional Histogram-Equalization (HE) has been removed to some extent by a variant of HE called Range Optimized Entropy based Bi-Histogram Equalization (ROEBHE). In ROEBHE image histogram has been thresholded into two sub-histograms i.e. histograms corresponding to background and foreground. The threshold is calculated by maximizing the sum of the entropy of these two sub-histograms. The range for equalization has been optimized by maximizing the Peak-Signal to Noise ratio (PSNR). The experimental results prove that ROEBHE has prevailed over exis

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Jing, Hui, Mei Fa Huang, and Cong Li. "3D Mechanical Models Retrieval Based on Combined Histograms for Rapid Product Design." Applied Mechanics and Materials 16-19 (October 2009): 65–69. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.65.

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Shape Distribution (3DSD) and Radius Angle Histogram (RAH) are useful methods for retrieving 3D model in mechanical engineering. Through these methods have advantages such as fast speeds and simple operations, the retrieval precision are not very high enough. To improve the retrieval precision, a new method named combined histograms which integrates the advantages of 3DSD and RAH is proposed. This method makes use of the information both of shape and surface of the models to be retrieved. In the retrieval process, the shape histogram and the radius angle histogram of the retrieved model are fi

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Wu, Jun Feng, Xian Qiang Lv, Wen Lian Yang, Ye Tao, Jing Zhang, and Song Yang. "Image Retrieval Based on Color Histogram of Saliency Map." Advanced Materials Research 989-994 (July 2014): 3552–55. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3552.

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With the development of the internet, more and more images appear in the internet. How to effectively retrieve the desired image is still an important problem. In the past, traditional color histogram is used image retrieval system, but color histograms lack spatial information and are sensitive to intensity variation, color distortion and cropping. As a result, images with similar histograms may have totally different semantics. So the spatial information should be included in color histogram. The color histogram based on saliency map approach is introduced to overcome the above limitations.

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Porebski, Alice, Vinh Truong Hoang, Nicolas Vandenbroucke, and Denis Hamad. "Combination of LBP Bin and Histogram Selections for Color Texture Classification." Journal of Imaging 6, no. 6 (2020): 53. http://dx.doi.org/10.3390/jimaging6060053.

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LBP (Local Binary Pattern) is a very popular texture descriptor largely used in computer vision. In most applications, LBP histograms are exploited as texture features leading to a high dimensional feature space, especially for color texture classification problems. In the past few years, different solutions were proposed to reduce the dimension of the feature space based on the LBP histogram. Most of these approaches apply feature selection methods in order to find the most discriminative bins. Recently another strategy proposed selecting the most discriminant LBP histograms in their entirety

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Ognjenovic, Visnja, Vladimir Brtka, Jelena Stojanov, Eleonora Brtka, and Ivana Berkovic. "The Cuts Selection Method Based on Histogram Segmentation and Impact on Discretization Algorithms." Entropy 24, no. 5 (2022): 675. http://dx.doi.org/10.3390/e24050675.

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The preprocessing of data is an important task in rough set theory as well as in Entropy. The discretization of data as part of the preprocessing of data is a very influential process. Is there a connection between the segmentation of the data histogram and data discretization? The authors propose a novel data segmentation technique based on a histogram with regard to the quality of a data discretization. The significance of a cut’s position has been researched on several groups of histograms. A data set reduct was observed with respect to the histogram type. Connections between the data histo

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Elmore, Kimberly L. "Alternatives to the Chi-Square Test for Evaluating Rank Histograms from Ensemble Forecasts." Weather and Forecasting 20, no. 5 (2005): 789–95. http://dx.doi.org/10.1175/waf884.1.

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Abstract Rank histograms are a commonly used tool for evaluating an ensemble forecasting system’s performance. Because the sample size is finite, the rank histogram is subject to statistical fluctuations, so a goodness-of-fit (GOF) test is employed to determine if the rank histogram is uniform to within some statistical certainty. Most often, the χ2 test is used to test whether the rank histogram is indistinguishable from a discrete uniform distribution. However, the χ2 test is insensitive to order and so suffers from troubling deficiencies that may render it unsuitable for rank histogram eval

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Ongkittikul, Surachai, Wachirapong Kesjindatanawaj, and Sanun Srisuk. "Multi-Window and Line Scan Histogram Features for Bilateral Filtering." Applied Mechanics and Materials 781 (August 2015): 547–50. http://dx.doi.org/10.4028/www.scientific.net/amm.781.547.

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Bilateral filtering is the crucial process to enhance the image. This paper aims to improve the bilateral filtering base on the multi-window and line scan histogram scheme. The multi-windows histogram has been introduced to solve the problem when apply to large image by using a number of the window histogram with different weight to estimate the domain filtering function. Anyway, the complexity of this algorithm is increase by multiply of the number ofmwindows histogram that use for estimating the domain filtering. To improve this, our algorithm that based on the multi-windows histogram is pro

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Guclu, Burak. "Maximizing the entropy of histogram bar heights to explore neural activity: A simulation study on auditory and tactile fibers." Acta Neurobiologiae Experimentalis 65, no. 4 (2005): 399–407. http://dx.doi.org/10.55782/ane-2005-1568.

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Neurophysiologists often use histograms to explore patterns of activity in neural spike trains. The bin size selected to construct a histogram is crucial: too large bin widths result in coarse histograms, too small bin widths expand unimportant detail. Peri-stimulus time (PST) histograms of simulated nerve fibers were studied in the current article. This class of histograms gives information about neural activity in the temporal domain and is a density estimate for the spike rate. Scott's rule based on modern statistical theory suggests that the optimal bin size is inversely proportional to th

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Klose, Uwe, Marion Batra, and Thomas Nägele. "Parameterization of the Age-Dependent Whole Brain Apparent Diffusion Coefficient Histogram." BioMed Research International 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/373716.

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Purpose. The distribution of apparent diffusion coefficient (ADC) values in the brain can be used to characterize age effects and pathological changes of the brain tissue. The aim of this study was the parameterization of the whole brain ADC histogram by an advanced model with influence of age considered.Methods. Whole brain ADC histograms were calculated for all data and for seven age groups between 10 and 80 years. Modeling of the histograms was performed for two parts of the histogram separately: the brain tissue part was modeled by two Gaussian curves, while the remaining part was fitted b

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Dai, Shang Ping, Tao Jin, and Qing Liang. "Segmentation of Adhering Cell Images Based on Two-Dimensional Histogram." Advanced Materials Research 588-589 (November 2012): 2108–12. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.2108.

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For duplication and adhering of cells images in medical micro-images, it presents a variety of segmentation method based on two-dimensional histogram of the distance transformed images.Two-dimensional histogram is constructed by the concerned center pixel’s gray scale in a window .We can select gray mask by observing the characteristics distribution of the histogram of the region through the adhering cell image,getting the inverse transformed images.Experimental results show that different type of histograam segmention method are applicable to different adhering cell images’ segmentation.

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Chen, Ling Xia, and Liang Xu. "The Method Research of Auto-Generating Engineering Geology Histogram Based on MapGIS." Applied Mechanics and Materials 246-247 (December 2012): 1003–6. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.1003.

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This thesis study on algorithms of auto-generating engineering geology histogram, For example: the hierarchy model of drilling histogram, rendering algorithm of lithologic columnar and the rendering algorithm column separator. MapGIS was secondary exploitation platformand , and Borland C++ Builder 6.0 was programming language. Through called MapGIS’ secondary exploitation components directly and used algorithms mentioned in this paper, engineering geology histograms was auto-generated. Being validated by practical engineering geology data, the software system not only runs steadily and generat

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Inoue, Kohei, Naoki Ono, and Kenji Hara. "Local Contrast-Based Pixel Ordering for Exact Histogram Specification." Journal of Imaging 8, no. 9 (2022): 247. http://dx.doi.org/10.3390/jimaging8090247.

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Histogram equalization is one of the basic image processing tasks for contrast enhancement, and its generalized version is histogram specification, which accepts arbitrary shapes of target histograms including uniform distributions for histogram equalization. It is well known that strictly ordered pixels in an image can be voted to any target histogram to achieve exact histogram specification. This paper proposes a method for ordering pixels in an image on the basis of the local contrast of each pixel, where a Gaussian filter without approximation is used to avoid the duplication of pixel valu

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K, Shashikala, Deepali Singh, Ilakiya S, Swati Mishra, and Jyothi A Raj. "RBC Histograms: New Trends in Data Interpretation at a Tertiary Care Hospital." International Journal of Health Sciences and Research 15, no. 2 (2025): 295–301. https://doi.org/10.52403/ijhsr.20250239.

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INTRODUCTION: Histograms are graphic representation of cell frequencies verses size. RBC histogram with complete blood cell counts by automated analyzer provides an idea about morphological changes of RBCs in anemia. Peripheral smear examination (PBS) helps in diagnosing anemias by visualizing abnormal shape, size and immature red cells. This study was intended to analyze various types of anemia. OBJECTIVE: To study automated histogram patterns in various anemias and to know the utility and advantage of red cell histograms. MATERIALS AND METHODS: The present prospective study was carried out i

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Dembinski, Hans Peter, Jim Pivarski, and Henry Schreiner. "Recent developments in histogram libraries." EPJ Web of Conferences 245 (2020): 05014. http://dx.doi.org/10.1051/epjconf/202024505014.

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Boost.Histogram, a header-only C++14 library that provides multidimensional histograms and profiles, became available in Boost 1.70. It is extensible, fast, and uses modern C++ features. Using template metaprogramming, the most efficient code path for any given configuration is automatically selected. The library includes key features designed for the particle physics community, such as optional under- and overflow bins, weighted increments, reductions, growing axes, thread-safe filling, and memory-efficient counters with high-dynamic range. Python bindings for Boost.Histogram are being develo

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GONZÁLEZ, ORLANDO. "TEACHERS’ CONCEPTIONS AND PROFESSIONAL KNOWLEDGE OF VARIABILITY FROM THEIR INTERPRETATION OF HISTOGRAMS: THE CASE OF VENEZUELAN IN-SERVICE SECONDARY MATHEMATICS TEACHERS." STATISTICS EDUCATION RESEARCH JOURNAL 20, no. 2 (2021): 15. http://dx.doi.org/10.52041/serj.v20i2.412.

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Many studies have reported on the influence of teachers’ conceptions of variability on different aspects of their professional knowledge for teaching statistics and their classroom practices. However, research on these kind of conceptions is still scarce, particularly in Latin American countries like Venezuela. In an effort to help fill this gap, a qualitative study was conducted that aimed to characterize the different ways in which Venezuelan in-service secondary school mathematics teachers conceptualize variability. For that purpose, a survey instrument was developed and administered to 27

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Griffin, C. M., J. Dehmeshki, D. T. Chard, et al. "T1 histograms of normal-appearing brain tissue are abnormal in early relapsing-remitting multiple sclerosis." Multiple Sclerosis Journal 8, no. 3 (2002): 211–16. http://dx.doi.org/10.1191/1352458502ms807oa.

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Objective: To use both whole-brain and normal-appearing brain tissue (NABT) T1 relaxation time histograms to investigate abnormalities in early relapsing-remitting (RR) multiple sclerosis (MS). Background: In patients with established MS, both lesions and NABT exhibit an increase in T1 relaxation time. By using T1 histogram analysis, it is hoped that such changes in early disease can be detected. Method: Twenty-seven patients and 14 age- and sex-matched controls underwent magnetic resonance imaging (MRI) of the brain, which included the following sequences: 1) proton density (PD)- and T2-weigh

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Mirzargar, Mahsa, and Jeffrey L. Anderson. "On Evaluation of Ensemble Forecast Calibration Using the Concept of Data Depth." Monthly Weather Review 145, no. 5 (2017): 1679–90. http://dx.doi.org/10.1175/mwr-d-16-0351.1.

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Abstract Various generalizations of the univariate rank histogram have been proposed to inspect the reliability of an ensemble forecast or analysis in multidimensional spaces. Multivariate rank histograms provide insightful information about the misspecification of genuinely multivariate features such as the correlation between various variables in a multivariate ensemble. However, the interpretation of patterns in a multivariate rank histogram should be handled with care. The purpose of this paper is to focus on multivariate rank histograms designed based on the concept of data depth and outl

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Zhang, Shun, Tie-gang Gao, and Fu-sheng Yang. "A High Capacity Reversible Data Hiding Scheme Based on Multi-Level Integer DWT and Histogram Modification." International Journal of Digital Crime and Forensics 6, no. 1 (2014): 51–64. http://dx.doi.org/10.4018/ijdcf.2014010104.

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A reversible data hiding scheme based on integer DWT and histogram modification is proposed. In the scheme, the cover media is firstly transformed by Integer DWT (Discrete Wavelet Transformation); then information is embedded through the modification of histograms of the middle and high frequency sub-bands of the DWT coefficients. In order to increase the embedding capacity, a multi-level scheme is proposed, which achieved both high embedding capacity and reversibility. Extensive experimental results have shown that the proposed scheme achieves both higher embedding capacity and lower distorti

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Steffen-Smith, Emilie A., Joelle E. Sarlls, Carlo Pierpaoli, et al. "Diffusion Tensor Histogram Analysis of Pediatric Diffuse Intrinsic Pontine Glioma." BioMed Research International 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/647356.

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Purpose. To evaluate tumor structure in children with diffuse intrinsic pontine glioma (DIPG) using histogram analyses of mean diffusivity (MD), determine potential treatment and corticosteroid-related effects on MD, and monitor changes in MD distributions over time.Materials and Methods. DTI was performed on a 1.5T GE scanner. Regions of interest included the entire FLAIR-defined tumor. MD data were used to calculate histograms. Patterns in MD distributions were evaluated and fitted using a two-normal mixture model. Treatment-related effects were evaluated using theR2statistic for linear mixe

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Ahmed, Elaraby, and Taha Ayman. "An approach for cross-modality guided quality enhancement of liver image." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 1449–55. https://doi.org/10.11591/ijece.v12i2.pp1449-1455.

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A novel approach for multimodal liver image contrast enhancement is put forward in this paper. The proposed approach utilizes magnetic resonance imaging (MRI) scan of liver as a guide to enhance the structures of computed tomography (CT) liver. The enhancement process consists of two phases: The first phase is the transformation of MRI and CT modalities to be in the same range. Then the histogram of CT liver is adjusted to match the histogram of MRI. In the second phase, an adaptive histogram equalization technique is presented by splitting the CT histogram into two sub-histograms and replacin

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Husain, Nursuci Putri, and Nurseno Bayu Aji. "Pemanfaatan Histogram Equalization pada Local Tri Directional Pattern untuk Sistem Temu Kembali Citra." SPECTA Journal of Technology 4, no. 1 (2020): 49–58. http://dx.doi.org/10.35718/specta.v4i1.164.

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Abstract  Local tri-directional pattern (LtriDP) is a method of extracting local intensity features from each pixel based on direction. However, this method has not been able to provide good performance in extracting features for image retrieval. One reason that makes image retrieval performance worse is the effect of lighting. Lighting can cause large variations between images. This study proposed utilization of Histogram Equalization (HE). Histogram equalization is a functional method of stretching gray degrees and expanding image contrast. This will make variations in the gray l

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Gao, Hui-ting, Wei Liu, Hong-yan He, Bing-xian Zhang, and Cheng Jiang. "DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 311–16. http://dx.doi.org/10.5194/isprsarchives-xli-b1-311-2016.

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Aim to striping noise brought by non-uniform response of remote sensing TDI CCD, a novel de-striping method based on statistical features of image histogram is put forward. By analysing the distribution of histograms,the centroid of histogram is selected to be an eigenvalue representing uniformity of ground objects,histogrammic centroid of whole image and each pixels are calculated first,the differences between them are regard as rough correction coefficients, then in order to avoid the sensitivity caused by single parameter and considering the strong continuity and pertinence of ground object

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Gao, Hui-ting, Wei Liu, Hong-yan He, Bing-xian Zhang, and Cheng Jiang. "DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 311–16. http://dx.doi.org/10.5194/isprs-archives-xli-b1-311-2016.

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Aim to striping noise brought by non-uniform response of remote sensing TDI CCD, a novel de-striping method based on statistical features of image histogram is put forward. By analysing the distribution of histograms,the centroid of histogram is selected to be an eigenvalue representing uniformity of ground objects,histogrammic centroid of whole image and each pixels are calculated first,the differences between them are regard as rough correction coefficients, then in order to avoid the sensitivity caused by single parameter and considering the strong continuity and pertinence of ground object

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Yousuf, M. A., and M. R. H. Rakib. "An Effective Image Contrast Enhancement Method Using Global Histogram Equalization." Journal of Scientific Research 3, no. 1 (2010): 43. http://dx.doi.org/10.3329/jsr.v3i1.5299.

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Image enhancement is one of the most important issues in low-level image processing. Histograms are the basis for numerous spatial domain processing techniques. In this paper, we present a simple and effective method for image contrast enhancement based on global histogram equalization. In this method, at first input image is normalized by making the minimum gray level value to 0. Then the probability of each grey level is calculated from the available ROI grey levels. Finally, histogram equalization is performed on the input image based on the calculated probability density (or distribution)

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Chen, Maolin, Jiyang Li, Jianping Pan, Cuicui Ji, and Wei Ma. "Insulator Extraction from UAV LiDAR Point Cloud Based on Multi-Type and Multi-Scale Feature Histogram." Drones 8, no. 6 (2024): 241. http://dx.doi.org/10.3390/drones8060241.

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Insulators are key components to ensure the normal operation of power facilities in transmission corridors. Existing insulator identification methods mainly use image data and lack the acquisition of three-dimensional information. This paper proposes an efficient insulator extraction method based on UAV (unmanned aerial vehicle) LiDAR (light detection and ranging) point cloud, using five histogram features: horizontal density (HD), horizontal void (HV), horizontal width (HW), vertical width (VW) and vertical void (VV). Firstly, a voxel-based method is employed to roughly extract power lines an

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Gadetska, Svitlana, Valeriy Dubnitskiy, Alexander Khodyrev, and Yuri Kushneruk. "Excel-oriented calculator for calculating results of entropy analysis of data distributed by categories." Advanced Information Systems 7, no. 2 (2023): 28–40. http://dx.doi.org/10.20998/2522-9052.2023.2.05.

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The goal of the work. Development of EXCEL-oriented calculator for calculating the results of entropy analysis of data, which are distributed by categories. The subject of research is histograms of arbitrary distribution laws and conjugation tables 2×2. Research methods: Entropy and information analysis of histograms of arbitrary distribution laws and conjugation tables. The obtained results. It is proposed to use methods of entropy analysis for the analysis of data distributed by categories; information on the structure of the EXCEL-oriented calculator designed for this purpose is given. The

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Wei, Guodong, Ying Tian, Shun’ichi Kaneko, and Zhengang Jiang. "Robust Template Matching Using Multiple-Layered Absent Color Indexing." Sensors 22, no. 17 (2022): 6661. http://dx.doi.org/10.3390/s22176661.

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Color is an essential feature in histogram-based matching. This can be extracted as statistical data during the comparison process. Although the applicability of color features in histogram-based techniques has been proven, position information is lacking during the matching process. We present a conceptually simple and effective method called multiple-layered absent color indexing (ABC-ML) for template matching. Apparent and absent color histograms are obtained from the original color histogram, where the absent colors belong to low-frequency or vacant bins. To determine the color range of co

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Inamura, Minoru. "Non-Parametric Classification of Remotely Sensed Multispectral Image Data by Means of Matrix Representation of Multidimensional Histograms." Journal of Robotics and Mechatronics 6, no. 1 (1994): 42–50. http://dx.doi.org/10.20965/jrm.1994.p0042.

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The computer framing of land use maps using remotely sensed multispectral image data is identical with pattern classification for spectral reflectance of objects on earth's surface. In particular, the classification by the maximum likelihood method is the most popular method because it theoretically gives the highest correct classification rate on the condition that the statistical distribution of the image data be normal. However, the histogram of real image data is not a normal distribution. Actual histograms show the proper distributions to classes. This fact means that a histogram gives a

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Chen, Sheng, Xianyi Chen, and Huijuan Fu. "General Framework of Reversible Watermarking Based on Asymmetric Histogram Shifting of Prediction Error." Advances in Multimedia 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/6359248.

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This paper presents a general framework for the reversible watermarking based on asymmetric histogram shifting of prediction error, which is inspired by reversible watermarking of prediction error. Different from the conventional algorithms using single-prediction scheme to create symmetric histogram, the proposed method employs a multi-prediction scheme, which calculates multiple prediction values for the pixels. Then, the suitable value would be selected by two dual asymmetric selection functions to construct two asymmetric error histograms. Finally, the watermark is embedded in the two erro

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Guo, Lie, Guang Xi Zhang, Ping Shu Ge, and Lin Hui Li. "Pedestrian Tracking with HOG and Color Histogram Features." Applied Mechanics and Materials 241-244 (December 2012): 498–501. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.498.

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To improve the effectiveness of pedestrian tracking, the histograms of oriented gradients (HOG) and color histogram characteristics are adopted to track pedestrian based on particle filter. Firstly, the pedestrian is detected using the HOG features to determine the initial target position. Then the target is tracked based on particle filter utilizing color histogram, during which the HOG is used to modify particle heavy weights and particle sampling. Experimental results verify the accurateness and efficiency of the proposed method.

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Yu, Yuan Chih, Shing Chern D. You, and Dwen Ren Tsai. "Hill Climbing Algorithm for License Plate Recognition." Advanced Materials Research 267 (June 2011): 995–1000. http://dx.doi.org/10.4028/www.scientific.net/amr.267.995.

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Histogram thresholding has been widely used for image processing—it is simple, fast, and computationally inexpensive. In this paper, we develop a creative approach based on histogram’s distributions to segment interest regions from background. Unlike the existing threshold detection methods which measure the statistics of histogram in the multi-modal images, our approach analyses the shape representation of multi-modal which has several hill-climbing curves. The behavior of algorithm works like human vision which focuses on the high contrast areas and scans the shape variation first. Moreover,

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Jensen, Peter Klint, and Kirsten Hansen. "Deconvolution of fission-track length distributions and its application to dating and separating pre- and post-depositional components." Geochronology 3, no. 2 (2021): 561–75. http://dx.doi.org/10.5194/gchron-3-561-2021.

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Abstract. To enable the separation of pre- and post-depositional components of the length distribution of (partially annealed) horizontal confined fission tracks, the length distribution is corrected by deconvolution. Probabilistic least-squares inversion corrects natural track length histograms for observational biases, considering the variance in data, modelization, and prior information. The corrected histogram is validated by its variance–covariance matrix. It is considered that horizontal track data can exist with or without measurements of angles to the c axis. In the latter case, 3D his

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Papageorgiou, Ismini, Nektarios A. Valous, Stathis Hadjidemetriou, Ulf Teichgräber, and Ansgar Malich. "Quantitative Assessment of Breast-Tumor Stiffness Using Shear-Wave Elastography Histograms." Diagnostics 12, no. 12 (2022): 3140. http://dx.doi.org/10.3390/diagnostics12123140.

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Purpose: Shear-wave elastography (SWE) measures tissue elasticity using ultrasound waves. This study proposes a histogram-based SWE analysis to improve breast malignancy detection. Methods: N = 22/32 (patients/tumors) benign and n = 51/64 malignant breast tumors with histological ground truth. Colored SWE heatmaps were adjusted to a 0–180 kPa scale. Normalized, 250-binned RGB histograms were used as image descriptors based on skewness and area under curve (AUC). The histogram method was compared to conventional SWE metrics, such as (1) the qualitative 5-point scale classification and (2) avera

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Lazea, Dragoș, Anca Hangan, and Tudor Cioara. "Building Equi-Width Histograms on Homomorphically Encrypted Data." Future Internet 17, no. 6 (2025): 256. https://doi.org/10.3390/fi17060256.

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Histograms are widely used for summarizing data distributions, detecting anomalies, and improving machine learning models’ accuracy. However, traditional histogram-based methods require access to raw data, raising privacy concerns, particularly in sensitive IoT applications. Encryption-based techniques offer potential solutions; however, they secure the data in transit or storage, requiring decryption during analysis, which exposes raw data to potential privacy risks. In this paper, we propose a method for constructing privacy-preserving histograms directly on homomorphically encrypted IoT dat

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Fushing, Hsieh, and Tania Roy. "Complexity of possibly gapped histogram and analysis of histogram." Royal Society Open Science 5, no. 2 (2018): 171026. http://dx.doi.org/10.1098/rsos.171026.

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We demonstrate that gaps and distributional patterns embedded within real-valued measurements are inseparable biological and mechanistic information contents of the system. Such patterns are discovered through data-driven possibly gapped histogram, which further leads to the geometry-based analysis of histogram (ANOHT). Constructing a possibly gapped histogram is a complex problem of statistical mechanics due to the ensemble of candidate histograms being captured by a two-layer Ising model. This construction is also a distinctive problem of Information Theory from the perspective of data compr

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Elaraby, Ahmed, and Ayman Taha. "An approach for cross-modality guided quality enhancement of liver image." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 1449. http://dx.doi.org/10.11591/ijece.v12i2.pp1449-1455.

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<p><span>A novel approach for multimodal liver image contrast enhancement is put forward in this paper. The proposed approach utilizes magnetic resonance imaging (MRI) scan of liver as a guide to enhance the structures of computed tomography (CT) liver. The enhancement process consists of two phases: The first phase is the transformation of MRI and CT modalities to be in the same range. Then the histogram of CT liver is adjusted to match the histogram of MRI. In the second phase, an adaptive histogram equalization technique is presented by splitting the CT histogram into two sub-hi

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Sun, Miao, Shenglong Zhuo, and Patrick Yin Chiang. "Multi-Scale Histogram-Based Probabilistic Deep Neural Network for Super-Resolution 3D LiDAR Imaging." Sensors 23, no. 1 (2022): 420. http://dx.doi.org/10.3390/s23010420.

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LiDAR (Light Detection and Ranging) imaging based on SPAD (Single-Photon Avalanche Diode) technology suffers from severe area penalty for large on-chip histogram peak detection circuits required by the high precision of measured depth values. In this work, a probabilistic estimation-based super-resolution neural network for SPAD imaging that firstly uses temporal multi-scale histograms as inputs is proposed. To reduce the area and cost of on-chip histogram computation, only part of the histogram hardware for calculating the reflected photons is implemented on a chip. On account of the distribu

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Holtsev, O. O., O. D. Goltsev, and I. V. Surovtsev. "Algorithm for Calculating the Similarity between Histograms for Texture Segmentation." Information Technologies and Systems (Інформаційні технології та системи) 1, no. 1 (2025): 3–23. https://doi.org/10.15407/intechsys.2025.01.003.

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Introduction. An algorithm for calculating the similarity degree between multidimensional histograms is presented. The proposed algorithm was intended for texture segmentation of images using histograms as texture features. The need to develop such a special algorithm is justified by the fact that the methods for estimating the similarity/difference measure between multidimensional vectors described in the literature provide such measures that are not very suitable for solving the texture segmentation task. The main peculiarity of the proposed algorithm is that when calculating the similarity

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Scott, David W. "Histogram." WIREs Computational Statistics 2, no. 1 (2009): 44–48. http://dx.doi.org/10.1002/wics.59.

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Revelly, JP, F. Feihl, T. Liebling, and C. Perret. "Time constant histograms from the forced expired volume signal: a clinical evaluation." European Respiratory Journal 2, no. 6 (1989): 536–42. http://dx.doi.org/10.1183/09031936.93.02060536.

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We evaluated a multicompartment analysis of forced expiration, based on modelling the lung as a set of twenty parallel compartments emptying exponentially with time constants ranging from 0.1-10 s; the forced expired volume signal was represented by a histogram showing the fraction of forced vital capacity as a function of compartmental time constants. We applied this technique to 80 healthy and 12 asthmatic subjects. The histograms computed from three consecutive forced expirations were poorly reproducible in 18 of the 80 healthy and 2 of the 12 asthmatic subjects. In the asthmatics, the time

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Goltsev, Alexander, and Oleksii Holtsev. "An Algorithm for Measuring the Similarity of Histograms for Texture Image Segmentation." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 21 (February 20, 2024): 107–15. http://dx.doi.org/10.37394/23209.2024.21.11.

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A simple algorithm for measuring the similarity between multi-column histograms is presented. The proposed algorithm is intended for texture segmentation of images using histograms as texture features. The purpose of developing such a specialized algorithm is to more accurately determine the boundaries between neighboring texture segments. The algorithm is specially designed so that to express the similarity value as a percentage. The main peculiarity of the proposed algorithm is that when calculating the similarity value, it considers not only the corresponding histogram columns but also take

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Zheng, Yan, Baolong Guo, Cheng Li, and Yunyi Yan. "A Weighted Fourier and Wavelet-Like Shape Descriptor Based on IDSC for Object Recognition." Symmetry 11, no. 5 (2019): 693. http://dx.doi.org/10.3390/sym11050693.

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This article presents an effective shape descriptor with a property of fast matching. This descriptor, called IDSC-wFW (a weighted Fourier and wavelet-like descriptor based on inner distance shape context), first rewrites shape histograms of IDSC descriptors, changing the histogram belonging to a point to the histogram belonging to a field, and sets the histogram of a field as a one-dimensional signal, then transforms this one-dimensional signal by using a Fourier transform and a transform similar to Haar wavelet. Finally, the two transform results are linearly combined to form a new descripto

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Alreshidi, Eissa, Rabie A. Ramadan, Md Haidar Sharif, Omer Faruk Ince, and Ibrahim Furkan Ince. "A Comparative Study of Image Descriptors in Recognizing Human Faces Supported by Distributed Platforms." Electronics 10, no. 8 (2021): 915. http://dx.doi.org/10.3390/electronics10080915.

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Face recognition is one of the emergent technologies that has been used in many applications. It is a process of labeling pictures, especially those with human faces. One of the critical applications of face recognition is security monitoring, where captured images are compared to thousands, or even millions, of stored images. The problem occurs when different types of noise manipulate the captured images. This paper contributes to the body of knowledge by proposing an innovative framework for face recognition based on various descriptors, including the following: Color and Edge Directivity De

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Camilletti, Alessandro, Leonardo Chiesa, Giacomo Ricigliano, et al. "Numerical relativity simulations of the neutron star merger GW190425: microphysics and mass ratio effects." Monthly Notices of the Royal Astronomical Society 516, no. 4 (2022): 4760–81. https://doi.org/10.5281/zenodo.6497686.

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We release outflow data extracted at a fixed coordinate sphere with a radius 294km. Only material unbound according to the geodesic criterion is considered to be part of the dynamical ejecta. See [1] for more details. Included data: `[model].tar`: ejecta data for individual simulations. The name reads as following."EOS_GravMassesOfStars_NeutrinoScheme_Resolution".Neutrino scheme is consistent in all simulations and is Leackage+M0.Resolutions available are: LR and SR that correspond to 246 m, and 185 m.  EOS tables used for the evolution (Except BLh which is not public) For each model

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Chen, Jianzhang, Shuo Zhou, Jie Qiu, et al. "A Histogram Publishing Method under Differential Privacy That Involves Balancing Small-Bin Availability First." Algorithms 17, no. 7 (2024): 293. http://dx.doi.org/10.3390/a17070293.

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Differential privacy, a cornerstone of privacy-preserving techniques, plays an indispensable role in ensuring the secure handling and sharing of sensitive data analysis across domains such as in census, healthcare, and social networks. Histograms, serving as a visually compelling tool for presenting analytical outcomes, are widely employed in these sectors. Currently, numerous algorithms for publishing histograms under differential privacy have been developed, striving to balance privacy protection with the provision of useful data. Nonetheless, the pivotal challenge concerning the effective e

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Park, Namuk, and Songkuk Kim. "FlexSketch: Estimation of Probability Density for Stationary and Non-Stationary Data Streams." Sensors 21, no. 4 (2021): 1080. http://dx.doi.org/10.3390/s21041080.

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Efficient and accurate estimation of the probability distribution of a data stream is an important problem in many sensor systems. It is especially challenging when the data stream is non-stationary, i.e., its probability distribution changes over time. Statistical models for non-stationary data streams demand agile adaptation for concept drift while tolerating temporal fluctuations. To this end, a statistical model needs to forget old data samples and to detect concept drift swiftly. In this paper, we propose FlexSketch, an online probability density estimation algorithm for data streams. Our

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Kiadtikornthaweeyot, Warinthorn, and Adrian R. L. Tatnall. "REGION OF INTEREST DETECTION BASED ON HISTOGRAM SEGMENTATION FOR SATELLITE IMAGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 249–55. http://dx.doi.org/10.5194/isprs-archives-xli-b7-249-2016.

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High resolution satellite imaging is considered as the outstanding applicant to extract the Earth’s surface information. Extraction of a feature of an image is very difficult due to having to find the appropriate image segmentation techniques and combine different methods to detect the Region of Interest (ROI) most effectively. This paper proposes techniques to classify objects in the satellite image by using image processing methods on high-resolution satellite images. The systems to identify the ROI focus on forests, urban and agriculture areas. The proposed system is based on histograms of

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