Search results for " image analysis"

showing 10 items of 94 documents

Detection of Duplicated Regions in Tampered Digital Images by Bit-Plane Analysis

2009

In this paper we present a new method for searching duplicated areas in a digital image. The goal is to detect if an image has been tampered by a copy-move process. Our method works within a convenient domain. The image to be analyzed is decomposed in its bit-plane representation. Then, for each bitplane, block of bits are encoded with an ASCII code, and a sequence of strings is analyzed rather than the original bit-plane. The sequence is lexicographically sorted and similar groups of bits are extracted as candidate areas, and passed to the following plane to be processed. Output of the last planes indicates if, and where, the image has been altered.

business.industryComputer scienceBinary imageImage processingImage Forensics Image Analysis Bit-Plane Decomposition Duplication Detection Image ForgeriesPlane (Unicode)Digital imageDigital image processingComputer visionArtificial intelligencebusinessBlock (data storage)Feature detection (computer vision)Bit plane
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Hybrid descriptive-inferential method for key feature selection in prostate cancer radiomics

2021

In healthcare industry 4.0, a big role is played by radiomics. Radiomics concerns the extraction and analysis of quantitative information not visible to the naked eye, even by expert operators, from biomedical images. Radiomics involves the management of digital images as data matrices, with the aim of extracting a number of morphological and predictive variables, named features, using automatic or semi-automatic methods. Multidisciplinary methods as machine learning and deep learning are fully involved in this field. However, the large number of features requires efficient and effective core methods for their selection, in order to avoid bias or misinterpretations problems. In this work, t…

business.industryComputer sciencefeature selection image analysis prostate cancer radiomicsFeature selectionManagement Science and Operations Researchmedicine.diseaseMachine learningcomputer.software_genreprostate cancerGeneral Business Management and AccountingProstate cancerRadiomicsimage analysisradiomicsModeling and SimulationFeature selectionmedicineKey (cryptography)Artificial intelligencebusinesscomputer
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Evaluation of the primary stability in dental implants placed in low density bone with a new drilling technique, osseodensification: an in vitro study

2020

Background Primary stability is an important key determinant of implant osseointegration. We investigated approaches to improve primary implant stability using a new drilling technique termed osseodensification (OD), which was compared with the conventional under-drilling (UD) method utilized for low-density bones. Material and Methods We placed 55 conical internal connection implants in each group, in 30 low-density sections of pig tibia. The implants were placed using twist drill bits in both groups; groups Under Drilling (UD) and Osseodensification (OD) included bone sections subjected to conventional UD and OD drilling, respectively. Before placing the implants, we randomized the bone s…

computer-assisted diagnosisMaterials scienceSwinecomputer-assisted image processingOsseointegrationDental Prosthesis Retentionradicular cysts03 medical and health sciences0302 clinical medicineBone DensityOsseointegrationLow densityAnimalscomputer-assisted image analysisIn vitro studyTibiaGeneral DentistryUNESCO:CIENCIAS MÉDICASInternal connectionDental ImplantsResearchTwist drillDental Implantation EndosseousResonance Frequency Analysis030206 dentistryResonance frequency analysisTorqueOtorhinolaryngologykeratocystsodontogenic cystsSurgeryImplantImplantologyBiomedical engineering
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Integrative Taxonomy of Armeria arenaria (Plumbaginaceae), with a Special Focus on the Putative Subspecies Endemic to the Apennines

2022

Three subspecies of Armeria arenaria are reported from Italy, two of which are considered endemic to the Apennines. The taxonomic value of these two taxa (A. arenaria subsp. marginata and A. arenaria subsp. apennina) is unclear. Moreover, the relationships between A. arenaria subsp. praecox and Northern Italian populations—currently ascribed to A. arenaria subsp. arenaria—have never been addressed. Accordingly, we used an integrated taxonomic approach, including morphometry, seed morpho–colorimetry, karyology, molecular systematics (psbA–trnH, trnQ–rps16, trnF–trnL, trnL–rpl32, and ITS region), and comparative niche analysis. According to our result…

endemism; morphometrics; image analysis; molecular analysis; niche similarity; nomenclatureGeneral Immunology and MicrobiologySettore BIO/02 - Botanica SistematicaGeneral Agricultural and Biological Sciencesendemism morphometrics image analysis molecular analysis niche similarity nomenclatureGeneral Biochemistry Genetics and Molecular Biology
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Standardization of sampling and staining methods for the morphometric evaluation of sperm heads in the Cynomolgus monkey (Macaca fascicularis) using …

2005

Automated sperm morphology analysis (ASMA) technology has improved the assessment of sperm morphology, but the results depend on the use of adequate and standardized procedures. In this study the Sperm-Class Analyzer® (SCA) ASMA system was used to assess sperm head morphometry in the Cynomolgus monkey and to evaluate the influence of sample size, intraslide variation, and the use of three staining techniques on the accuracy of image processing and sperm head morphometry. Haematoxylin is the staining technique of choice for Cynomolgus spermatozoa, as optimum contrast of sperm heads with the surrounding background allows efficient segmentation, i.e. sperm head boundary detection, making the i…

endocrine systemurogenital systemSperm HeadUrologyEndocrinology Diabetes and MetabolismAnatomyHaematoxylinBiologySpermStainStainingComputer assisted image analysischemistry.chemical_compoundReproductive MedicinechemistrySperm morphologySampling (medicine)reproductive and urinary physiologyInternational Journal of Andrology
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AREA-TO-VOLUME DATA TRANSLATION IN THE MEASUREMENT OF BUBBLE SIZE DISTRIBUTIONS VIA LASER SHEET AND IMAGE ANALYSIS

2009

Not available.

lcsh:Computer engineering. Computer hardwareGas-liquid dispersionSettore ING-IND/25 - Impianti ChimiciMIXINGBUBBLE SIZE DISTRIBUTIONlcsh:TP155-156lcsh:TK7885-7895lcsh:Chemical engineeringgas-liquid hold up image analysisChemical Engineering Transactions
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Developing and comparing methods for mapping habitat types and conservation values using remote sensing data and GIS methods

2014

segmentationairborne laser scanningconservation valuehabitaattiobjektiperustainen kuva-analyysielinympäristötyypitsegmentointilajirunsauselinympäristöluokitteluobject-based image analysishabitat typespectral imageskaukokartoitusspecies richnessmetsämaisemapaikkatietomenetelmätsuojeluarvotluokittelumenetelmätlaserkeilaus
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Study of bubble size distribution in bubbling fluidized beds via Digital Image Analysis Technique

2008

size distribution bubble image analysis
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A Method to Extract the Complete Fiber Network Topology of Planar Fibrous Tissues and Scaffolds.

2010

Improving fabrication protocols and design strategies, investigating on how scaffold architecture affects cell morphology, metabolism and phenotypic expression, predicting mechanical behaviors, have increasingly become crucial goals in the development of engineered tissue scaffolds. In the present study, an image-based analysis approach that provides an automatic tool to fully characterize engineered tissues fiber network topology was developed. The following micro architectural features are detected: fiber angle distribution, fiber connectivity, fiber overlap spatial density, fiber diameter. In order to demonstrate the potential of this approach Electrospun poly(ester urethane)urea (ES-PEU…

soft tissue engineering scaffold morphology image analysis
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Single-cell analysis of population context advances RNAi screening at multiple levels

2012

Isogenic cells in culture show strong variability, which arises from dynamic adaptations to the microenvironment of individual cells. Here we study the influence of the cell population context, which determines a single cell's microenvironment, in image‐based RNAi screens. We developed a comprehensive computational approach that employs Bayesian and multivariate methods at the single‐cell level. We applied these methods to 45 RNA interference screens of various sizes, including 7 druggable genome and 2 genome‐wide screens, analysing 17 different mammalian virus infections and four related cell physiological processes. Analysing cell‐based screens at this depth reveals widespread RNAi‐induce…

toImage ProcessingDruggabilityGenomeImage analysis0302 clinical medicineComputer-AssistedSX00 SystemsX.ch2604 Applied MathematicsSingle-cell analysisRNA interferenceModels2400 General Immunology and MicrobiologyImage Processing Computer-AssistedViralRNA Small Interfering0303 health scienceseducation.field_of_studyApplied MathematicsSystems BiologyGenomics10124 Institute of Molecular Life SciencesCell biologycell variabilityComputational Theory and MathematicsCellular MicroenvironmentVirus DiseasesVirusesRNA ViralRNA InterferenceSingle-Cell AnalysisGeneral Agricultural and Biological SciencesInformation SystemsSystems biologyVirus infectionPopulationContext (language use)Genomics1100 General Agricultural and Biological SciencesBiologySmall InterferingModels BiologicalGeneral Biochemistry Genetics and Molecular BiologySX08 LipidX03 medical and health sciencesViral ProteinsCell-to-cell variability; Image analysis; Population context; RNAi; Virus infection1300 General Biochemistry Genetics and Molecular BiologyHumansComputer Simulationeducation030304 developmental biologyGeneral Immunology and MicrobiologyCell-to-cell variabilityReproducibility of ResultsBayes TheoremcellBiologicalPopulation contextRNAi570 Life sciences; biologyRNA030217 neurology & neurosurgeryHeLa CellsMolecular Systems Biology
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