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Image analysis and machine learning-based malaria assessment system

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Digital Communications and Networks 2022年第2期8卷 132-142页

作者： Kyle Manning Xiaojun Zhai Wangyang Yu School of Computer Science and Electronic Engineering University of EssexColchesterCO43SQUK Key Laboratory of Modern Teaching Technology Ministry of EducationSchool of Computer Science Shaanxi Normal UniversityXi'anChina

Malaria is an important and worldwide fatal disease that has been widely reported by the World Health Organization(WHO),and it has about 219 million cases worldwide,with 435,000 of those mortal.The common malaria diagnosis approach is heavily reliant on highly trained experts,who use a microscope to examine the samples.Therefore,there is a need to create an automated solution for the diagnosis of malaria.One of the main objectives of this work is to create a design tool that could be used to diagnose malaria from the image of a blood sample.In this paper,we firstly developed a graphical user interface that could be used to help segment red blood cells and infected cells and allow the users to analyze the blood samples.Secondly,a Feed-forward Neural Network(FNN)is designed to classify the cells into two classes.The achieved results show that the proposed techniques can be used to detect malaria,as it has achieved 92%accuracy with a database that contains 27,560 benchmark images.

关键词： Malaria assessment system Image analysis image segmentation Artificial intelligence

Image analysis of Moroccan carob seeds(Ceratonia siliqua L.)revealed substantial intraspecific variations depending on climate and geographic origin

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Ecological Processes 2022年第1期11卷 455-468页

作者： Jalal Kassout Younes Hmimsa Salama El Fatehi Abdeltif El Ouahrani Khalil Kadaoui Soufian Chakkour David Ariza‑Mateos Guillermo Palacios‑Rodríguez Rafael Navarro‑Cerrillo Mohammed Ater Laboratory of Applied Botany Bio‑Agrodiversity TeamFaculty of SciencesUniversity of Abdelmalek EssaadiTétouanMorocco Associated International Laboratory EVOLEA INEE‑CNRS‑CNRSTMontpellierFrance Polydisciplinary Faculty of Larache University of Abdelmalek EssaadiLaracheMorocco Forestry Engineering Department ERSAF Research Group RNM‑360University of CórdobaCórdobaSpain

Background:The carob tree(Ceratonia siliqua L.)is one of the most iconic tree species of the Mediterranean region,with valuable economic,ecological and cultural value.Carob has been exploited around the Mediterranean region since antiquity and has been regarded as an important component of natural habitats and traditional agroecosystems.Several studies have focused on its morphological,biochemical,and genetic diversity.However,less is known about the intraspecific variation of seed traits.In this regard,and as an overall objective,we intend to evaluate the amplitude and the expression of intraspecific variations of carob seed traits at different ecological scales ranging from individual trees to different geographical landscapes.In addition,we investigated how the climate along the study area affects the extent of carob seed variability.Using Image analysis techniques,we measured seven traits related to the size and the shape of 1740 seeds collected from 18 populations of spontaneous C.siliqua distributed along a latitudinal transect in Morocco under different bioclimatic conditions.Results:The morphometric analysis of carob seed showed the effectiveness of adopted approach to highlight the amount and the amplitude of intraspecific variation according to geographic and climatic factors.Seed trait analysis revealed high intraspecific variability,explained by differences between and among carob populations and geographic zones.Seed area,perimeter,length,and width showed the largest variability between geographic zones.However,circularity,aspect ratio,and seed roundness showed higher variability at the tree level.Finally,our results show that seed traits vary depending on altitude and climate condition.Conclusions:Revealing the amount and the structure of intraspecific traits variability of carob seed provides interesting insights to understand the mechanisms underlying trees adaptation to various environmental and ecological conditions.Therefore,intraspecific variation of seed traits should be integrated into trait

关键词： Carob tree Image analysis Seed traits Intraspecific variation Morocco

Use of digital Image analysis combined with fractal theory to determine particle morphology and surface texture of quartz sands

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Journal of Rock Mechanics and Geotechnical Engineering 2017年第6期9卷 1131-1139页

作者： Georgia S.Araujo Kátia V.Bicalho Fernando A.Tristao Federal Institute of Education Science and Technology of the State of Espírito SantoBrazil Department of Civil Engineering Federal University of Espírito SantoBrazil

The particle morphology and surface texture play a major role in influencing mechanical and hydraulic behaviors of sandy soils. This paper presents the use of digital Image analysis combined with fractal theory as a tool to quantify the particle morphology and surface texture of two types of quartz sands widely used in the region of Vitória, Espírito Santo, southeast of Brazil. The two investigated sands are sampled from different locations. The purpose of this paper is to present a simple, straightforward,reliable and reproducible methodology that can identify representative sandy soil texture parameters.The test results of the soil samples of the two sands separated by sieving into six size fractions are presented and discussed. The main advantages of the adopted methodology are its simplicity, reliability of the results, and relatively low cost. The results show that sands from the coastal spit(BS) have a greater degree of roundness and a smoother surface texture than river sands(RS). The values obtained in the test are statistically analyzed, and again it is confirmed that the BS sand has a slightly greater degree of sphericity than that of the RS sand. Moreover, the RS sand with rough surface texture has larger specific surface area values than the similar BS sand, which agree with the obtained roughness fractal dimensions. The consistent experimental results demonstrate that Image analysis combined with fractal theory is an accurate and efficient method to quantify the differences in particle morphology and surface texture of quartz sands.

关键词： Quartz sands Particle morphology and surface texture Image analysis Fractal theory

Quantification of browning in apples using colour and textural features by Image analysis

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Food Quality and Safety 2017年第3期1卷 221-226页

作者： Srinivasagan N.Subhashree S.Sunoj Jun Xue Ganesh C.Bora Agricultural and Biosystems Engineering North Dakota State UniversityFargoNorth DakotaUSA Guelph Food Research Center Agriculture and Agri-Food CanadaOntarioCanada Agricultural and Biological Engineering Mississippi State UniversityMississippiUSA

This study analyses the effect of browning through Image analysis based on colour and textural features in fresh-cut apple slices.A computer vision system(CVS)was developed for image acquisition,which consisted of a digital camera and a florescent lamp source for illumination with a contrasting background.The CVS was calibrated using standard colour values and a model was developed by artificial neural network technique.Three varieties of apples such as Honey crisp,Granny Smith,and Golden Delicious were used for the analysis.The apples were freshly cut and subjected to image acquisition.Normalized colour features(L*,browning index,hue,and colour change)and textural features(entropy,contrast,and homogeneity)were analysed from the acquired images.The varieties Honey Crisp and Granny Smith did undergo browning within 120 min,whereas Golden delicious did not brown significantly.The study concluded that colour and textural features were important decision features for detecting browning in apples through Image analysis.

关键词： apple browning colour calibration Image analysis textural features

Application of Image analysis Based on SEM and Chemical Mapping on PC Mortars under Sulfate Attack

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Journal of Wuhan University of Technology(Materials Science) 2014年第3期29卷 534-539页

作者：于诚孙伟 Scrivener Karen School of Materials Science and Engineering Southeast University Jiangsu Key Lab of Construction Material Laboratory of Construction Materials Swiss Federal Institute of Technology (EPFL)Ecublens 1015 LausanneSwitzerland

The degradation mechanisms of cementitious materials exposed to sulfate solutions have been controversial, despite considerable research. In this paper, two methodologies of Image analysis based on scanning electron microscope and chemical mapping are used to analyse Portland cement mortars exposed to sodium sulfate solution. The effects of sulfate concentration in solution and water to cement ratio of mortar, which are considered as the most sensitive factors to sulfate attack, are investigated respectively by comparing the macro expansion with microstructure analysis. It is found that the sulfate concentration in pore solution, expressed as sulfate content in C-S-H, plays a critical role on the supersaturation with respect to ettringite and so on the expansion force generated.

关键词： Image analysis mapping sulfate attack pore solution

Assessment of Fiber Distribution in Steel Fiber Mortar Using Image analysis

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Journal of Wuhan University of Technology(Materials Science) 2012年第1期27卷 166-171页

作者：刘建忠孙伟 MIAO Changwen LIU Jiaping LI Changfeng Jiangsu Key Laboratory of Civil Engineering Materials Southeast University State Key Laboratory of High Performance Civil Engineering Materials Jiangsu Research Institute of Building Science

A new test method was introduced to measure fiber distribution in steel fiber reinforced mortar by using Image analysis technique. Through specimen preparation, image acquisition, fiber extraction, and measurement of related fiber parameters, quantitative analysis of fiber distribution could be obtained by two parameters, namely dispersion coefficient and orientation factor. Effect of boundaries, size and steel fiber content on fiber distribution was discussed. Results showed that, steel fiber distribution was affected by boundary effect, which would be weakened with the increase of specimen size. If the length and width remained constant, the specimen height had a significant effect on orientation factor of fiber, while its influence on dispersion coefficient was not so obvious. With the increase of steel fiber content, dispersion coefficient decreased slightly, and orientation factor deviated from 0.5.

关键词： Image analysis steel fiber dispersion coefficient orientation factor characterization

Image analysis on Corneal Opacity:A Novel Method to Estimate Postmortem Interval in Rabbits

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Journal of Huazhong University of Science and Technology(Medical Sciences) 2010年第2期30卷 235-239页

作者：周兰刘艳刘良卓荦梁曼杨帆任亮朱少华 Department of Forensic Medicine Tongji Medical CollegeHuazhong University of Science and Technology Key Laboratory of Evidence Science(China University of Political Science and Law) Ministry of Education

Corneal opacity is one of the most commonly used parameters for estimating postmortem interval （PMI）. This paper proposes a new method to study the relationship between changes of corneal opacity and PMI by processing and analyzing cornea images. Corneal regions were extracted from images of rabbits＇ eyes and described by color-based and texture-based features, which could represent the changes of cornea at different PMI. A KNN classifier was used to reveal the association of image features and PMI. The result of the classification showed that the new method was reliable and effective.

关键词： forensic medicine postmortem interval corneal opacity Image analysis

An approach for wellbore failure analysis using rock cavings and image processing

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Journal of Rock Mechanics and Geotechnical Engineering 2018年第5期10卷 865-878页

作者： Christopher Skea Alireza Rezagholilou Pouria Behnoud Far Raoof Gholami Mohammad Sarmadivleh Department of Petroleum Engineering Curtin University Department of Petroleum Engineering Amirkabir University of Technology

There have been interests to link different cuttings/cavings to various wellbore failure types during drilling. This concept is essential when caliper and image logs are not available. Identification ofwellbore failure during drilling gives more chance of immediate actions before wireline logging program. In this paper, an approach was presented based on the image processing of ditch cuttings. This approach uses the sphericity and roundness of cuttings as input data to classify caving types and subsequently deter- mine the dominant failure type. Likewise, common definitions of cavings were discussed initially before a new criterion is suggested. This quantitative criterion was examined by observations from caliper and acoustic image logs as well. The proposed approach and criterion were implemented on ditch cuttings taken from a well in Western Australia. Results indicate that the primary failure is shear failure （breakout） due to high levels of angular cavings. However, another failure due to the fluid invasion into pre-existing fractures was also recorded by blocky cavings.

关键词： Caving shape Cuttings Drilling Image analysis Wellbore failures Roundness Sphericity

Determination of the Early Time of Death by Computerized Image analysis of DNA Degradation: Which Is the Best Quantitative Indicator of DNA Degradation?

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Journal of Huazhong University of Science and Technology(Medical Sciences) 2007年第4期27卷 362-366页

作者：刘丽江舒细记任亮周红艳李艳柳威朱丞刘良 Faculty of Forensic Medicine Tongji Medical CollegeHuazhong University of Science and Technology School of Medicine & Life Sciences Jianghan University

This study evaluated the correlation between DNA degradation of the splenic lymphocytes and the early time of death, examined the early time of death by computerized Image analysis technique （CIAT） and identified the best parameter that quantitatively reflects the DNA degradation. The spleen tissues from 34 SD rats were collected, subjected to cell smearing every 2 h within the first 36 h after death, stained by Feulgen-Van＇s staining, three indices reflecting DNA content in splenic lymphocytes, including integral optical density （IOD）, average optical density （AOD）, average gray scale （AG） were measured by the Image analysis. Our results showed that IOD and AOD decreased and AG increased over time within the first 36 h. A stepwise linear regression analysis showed that only AG was fitted. A correlation between the postmortem interval （PMI） and AG was identified and the corresponding regression equation was obtained. Our study suggests that CIAT is a useful and promising tool for the estimation of early PMI with good objectivity and reproducibility, and AG is a more effective and better quantitative indicator for the estimation of PMI within the first 36 h after death in rats.

关键词： forensic pathology postmortem interval DNA degradation Image analysis