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Journal articles on the topic 'Image collection'

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1

Riahi Samani, Zahra, and Mohsen Ebrahimi Moghaddam. "Image Collection Summarization Method Based on Semantic Hierarchies." AI 1, no. 2 (2020): 209–28. http://dx.doi.org/10.3390/ai1020014.

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The size of internet image collections is increasing drastically. As a result, new techniques are required to facilitate users in browsing, navigation, and summarization of these large volume collections. Image collection summarization methods present users with a set of exemplar images as the most representative ones from the initial image collection. In this study, an image collection summarization technique was introduced according to semantic hierarchies among them. In the proposed approach, images were mapped to the nodes of a pre-defined domain ontology. In this way, a semantic hierarchi
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Guo, Feng Ying. "The Hardware Design and Implement of an Image Information Collection System." Advanced Materials Research 804 (September 2013): 211–15. http://dx.doi.org/10.4028/www.scientific.net/amr.804.211.

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It introduces the hardware design and implement of the image information collection system which is one part of Fluorescent magnetic particle nondestructive detection system of Cannonball. The image information collection system includes Open collecting card model Initialize collection card modelApply for EMS memory modelCollecting image modelWrite bitmap information head model Show pictures modeClose collection card model. Through collecting image information to the EMS memory and then processing the image information, the magnetic images on the cannonball are showed clearly on computer, and
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Kim, Namhoon, Eunha Chun, and Eunju Ko. "Country of origin effects on brand image, brand evaluation, and purchase intention." International Marketing Review 34, no. 2 (2017): 254–71. http://dx.doi.org/10.1108/imr-03-2015-0071.

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Purpose The purpose of this paper is to analyze how national stereotype, country of origin (COO), and fashion brand’s images influence consumers’ brand evaluations and purchase intentions regarding fashion collections. Korea (Seoul) and overseas (New York and Paris) collections are compared and analyzed. Design/methodology/approach The authors conduct a structural equation modeling and multi-group analysis using data collected from Seoul, New York, and Paris. Findings Consumers make higher brand evaluations and ultimately have stronger purchase intentions toward fashion collections from countr
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Blatter, Jeremy. "Wellcome Library Moving Image and Sound Collection, (http://wellcomelibrary.org/about-us/about-the-collections/moving-image-and-sound-collection/)." Medical History 57, no. 3 (2013): 459–60. http://dx.doi.org/10.1017/mdh.2013.29.

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Groom, Quentin, Mathias Dillen, Wouter Addink, et al. "Envisaging a global infrastructure to exploit the potential of digitised collections." Biodiversity Data Journal 11 (November 30, 2023): e109439. https://doi.org/10.3897/BDJ.11.e109439.

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Tens of millions of images from biological collections have become available online over the last two decades. In parallel, there has been a dramatic increase in the capabilities of image analysis technologies, especially those involving machine learning and computer vision. While image analysis has become mainstream in consumer applications, it is still used only on an artisanal basis in the biological collections community, largely because the image corpora are dispersed. Yet, there is massive untapped potential for novel applications and research if images of collection objects could be mad
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Caspers, Max. "Image Recognition to Enhance the Value of Collections." Biodiversity Information Science and Standards 2 (June 13, 2018): e26320. http://dx.doi.org/10.3897/biss.2.26320.

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Techniques for image recognition through machine learning have advanced rapidly over recent years and applications using this technique are becoming increasingly common.. Applications using image recognition have enormous potential not only for research, education, conservation and capacity-building but certainly also for collections management. Perhaps by now an even bigger challenge than the technological one is supplying content in the form of large amounts of validated images. With an estimated 44 million objects, the collection of Naturalis Biodiversity Center has plenty of physical sourc
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Caspers, Max. "Image Recognition to Enhance the Value of Collections." Biodiversity Information Science and Standards 2 (June 13, 2018): e26320. https://doi.org/10.3897/biss.2.26320.

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Techniques for image recognition through <i>machine learning</i> have advanced rapidly over recent years and applications using this technique are becoming increasingly common.. Applications using image recognition have enormous potential not only for research, education, conservation and capacity-building but certainly also for collections management. Perhaps by now an even bigger challenge than the technological one is supplying content in the form of large amounts of validated images. With an estimated 44 million objects, the collection of Naturalis Biodiversity Center has plenty of physica
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Martin, William. "Satellite image collection optimization." Optical Engineering 41, no. 9 (2002): 2083. http://dx.doi.org/10.1117/1.1495856.

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Legland, David, and Marie-Françoise Devaux. "ImageM: a user-friendly interface for the processing of multi-dimensional images with Matlab." F1000Research 10 (April 30, 2021): 333. http://dx.doi.org/10.12688/f1000research.51732.1.

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Modern imaging devices provide a wealth of data often organized as images with many dimensions, such as 2D/3D, time and channel. Matlab is an efficient software solution for image processing, but it lacks many features facilitating the interactive interpretation of image data, such as a user-friendly image visualization, or the management of image meta-data (e.g. spatial calibration), thus limiting its application to bio-image analysis. The ImageM application proposes an integrated user interface that facilitates the processing and the analysis of multi-dimensional images within the Matlab env
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Turner, J. N., D. H. Szarowski, B. Roysam, and T. J. Holmes. "Light Microscopy Image Collection: Confocal, Widefield and Deconvolution." Microscopy and Microanalysis 3, S2 (1997): 371–72. http://dx.doi.org/10.1017/s1431927600008746.

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Light microscopy instrumentation and biological applications continue to expand rapidly, and an important aspect of this expansion is three-dimensional (3-D) imaging and image analysis. For many biological specimens, optical sectioning, i.e. collecting images at a sequence of depths under controlled conditions, provides true 3-D data through the entire specimen. This is especially important for specimens whose thickness exceeds the depth-of-field of the microscope objective lens. This sequence of optical sections is the basis for 3-D image reconstruction providing information from all three sp
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Qu, Jingye, and Jiangping Chen. "An investigation of benchmark image collections: how different from digital libraries?" Electronic Library 37, no. 3 (2019): 401–18. http://dx.doi.org/10.1108/el-10-2018-0195.

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Purpose This paper aims to introduce the construction methods, image organization, collection use and access of benchmark image collections to the digital library (DL) community. It aims to connect two distinct communities: the DL community and image processing researchers so that future image collections could be better constructed, organized and managed for both human and computer use. Design/methodology/approach Image collections are first identified through an extensive literature review of published journal articles and a web search. Then, a coding scheme focusing on image collections’ cr
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Saba, Khalaf. "Pseudo-Subdural Collection on Ultrasound: A Mirror Image Artefact." Journal of Clinical Research and Reports 11, no. 4 (2022): 01–03. http://dx.doi.org/10.31579/2690-1919/270.

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Pangallo, Matteo. "Shakespeare Quartos Archive. Image Collection." Renaissance and Reformation 42, no. 3 (2019): 170–73. http://dx.doi.org/10.7202/1066364ar.

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Gu, Yi, Chaoli Wang, Jun Ma, Robert J. Nemiroff, David L. Kao, and Denis Parra. "Visualization and recommendation of large image collections toward effective sensemaking." Information Visualization 16, no. 1 (2016): 21–47. http://dx.doi.org/10.1177/1473871616630778.

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In our daily lives, images are among the most commonly found data which we need to handle. We present iGraph, a graph-based approach for visual analytics of large image collections and their associated text information. Given such a collection, we compute the similarity between images, the distance between texts, and the connection between image and text to construct iGraph, a compound graph representation which encodes the underlying relationships among these images and texts. To enable effective visual navigation and comprehension of iGraph with tens of thousands of nodes and hundreds of mil
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B.D.C.N, Prasad, M. Sailaja, and V. Suryanarayana. "Analysis on Content Based Image Retrieval Using Image Enhancement and Deep Learning Convolutional Neural Networks." ECS Transactions 107, no. 1 (2022): 19777–89. http://dx.doi.org/10.1149/10701.19777ecst.

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"Content-Based" means that an image contents search analyzes instead of meta data, including keywords, tags or image descriptions. The word contents could apply in this sense to colours, structures, textures or any details extracted from the picture itself. CBIR is desirable as searches relying purely on metadata depend on the quality and the completeness of annotations. CBIR method for the recovery of images from huge, unshaped image databases is commonly used. The CBIR method is used. Therefore, users are not satisfied with standard knowledge collection methods. In addition, there are more i
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Saleh, Emad Isa. "Image embedded metadata in cultural heritage digital collections on the web." Library Hi Tech 36, no. 2 (2018): 339–57. http://dx.doi.org/10.1108/lht-03-2017-0053.

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Purpose The purpose of this paper is to investigate the availability of embedded metadata within images of digital cultural collections. It is designed to examine a proposed hypothesis that most digitally derived images of cultural resources are stripped of their metadata once they are placed on the web. Design/methodology/approach A sample of 603 images were selected randomly from four cultural portals which aggregate digitized cultural collections, then four steps in the data collection process took place to examine image metadata via the web-based tool and windows application. Findings The
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Chu, Boce, Feng Gao, Yingte Chai, et al. "Large-Area Full-Coverage Remote Sensing Image Collection Filtering Algorithm for Individual Demands." Sustainability 13, no. 23 (2021): 13475. http://dx.doi.org/10.3390/su132313475.

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Remote sensing is the main technical means for urban researchers and planners to effectively observe targeted urban areas. Generally, it is difficult for only one image to cover a whole urban area and one image cannot support the demands of urban planning tasks for spatial statistical analysis of a whole city. Therefore, people often artificially find multiple images with complementary regions in an urban area on the premise of meeting the basic requirements for resolution, cloudiness, and timeliness. However, with the rapid increase of remote sensing satellites and data in recent years, time-
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Kesiman, Made Windu Antara, and Gede Aditra Pradnyana. "A Scheme Towards Automatic Word Indexation System for Balinese Palm Leaf Manuscripts." Journal of ICT Research and Applications 15, no. 2 (2021): 105–19. http://dx.doi.org/10.5614/itbj.ict.res.appl.2021.15.2.1.

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This paper proposes an initial scheme towards the development of an automatic word indexation system for Balinese lontar (palm leaf manuscript) collections. The word indexation system scheme consists of a sub module for patch image extraction of text areas in lontars and a sub module for word image transliteration. This is the first word indexation system for lontar collections to be proposed. To detect parts of a lontar image that contain text, a Gabor filter is used to provide initial information about the presence of text texture in the image. An adaptive sliding patch algorithm for the ext
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Schwendy, Mischa, Ronald E. Unger, and Sapun H. Parekh. "EVICAN—a balanced dataset for algorithm development in cell and nucleus segmentation." Bioinformatics 36, no. 12 (2020): 3863–70. http://dx.doi.org/10.1093/bioinformatics/btaa225.

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Abstract Motivation Deep learning use for quantitative image analysis is exponentially increasing. However, training accurate, widely deployable deep learning algorithms requires a plethora of annotated (ground truth) data. Image collections must contain not only thousands of images to provide sufficient example objects (i.e. cells), but also contain an adequate degree of image heterogeneity. Results We present a new dataset, EVICAN—Expert visual cell annotation, comprising partially annotated grayscale images of 30 different cell lines from multiple microscopes, contrast mechanisms and magnif
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Kalukin, Andrew, Satoshi Endo, Russell Crook, et al. "Image Collection Simulation Using High-Resolution Atmospheric Modeling." Remote Sensing 12, no. 19 (2020): 3214. http://dx.doi.org/10.3390/rs12193214.

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A new method is described for simulating the passive remote sensing image collection of ground targets that includes effects from atmospheric physics and dynamics at fine spatial and temporal scales. The innovation in this research is the process of combining a high-resolution weather model with image collection simulation to attempt to account for heterogeneous and high-resolution atmospheric effects on image products. The atmosphere was modeled on a 3D voxel grid by a Large-Eddy Simulation (LES) driven by forcing data constrained by local ground-based and air-based observations. The spatial
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Therrell, Grace. "More product, more process: metadata in digital image collections." Digital Library Perspectives 35, no. 1 (2019): 2–14. http://dx.doi.org/10.1108/dlp-06-2018-0018.

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Purpose The purpose of this paper is to discuss the implications of current theories that advocate for minimal levels of description in digital collections. Specifically, this paper looks at the archival theory of “More Product, Less Process” and its encouragement of collection-level description. The purpose of the study was to analyze how levels of description impact resource retrieval. Design/methodology/approach This study analyzed 35 images from a New York Public Library (NYPL) digital collection present on the NYPL website and on Flickr. The methodology was designed to reflect users’ info
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Yangwen, Zheng. "Chinese Collection 457: the Call for Global History." Bulletin of the John Rylands Library 91, no. 1 (2015): 35–44. http://dx.doi.org/10.7227/bjrl.91.1.3.

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With the help of the Jesuits, the Qianlong emperor (often said to be Chinas Sun King in the long eighteenth century) built European palaces in the Garden of Perfect Brightness and commissioned a set of twenty images engraved on copper in Paris. The Second Anglo-Chinese Opium War in 1860 not only saw the destruction of the Garden, but also of the images, of which there are only a few left in the world. The John Rylands set contains a coloured image which raises even more questions about the construction of the palaces and the after-life of the images. How did it travel from Paris to Bejing, and
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Oktaviantina, Adek Dwi. "CITRAAN DALAM KUMPULAN PUISI ABDUL SALAM HS “MALAIKAT WARINGIN”." BEBASAN Jurnal Ilmiah Kebahasaan dan Kesastraan 6, no. 2 (2020): 137. http://dx.doi.org/10.26499/bebasan.v6i2.118.

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Poetry is arranged beautiful words and understood by the readers. Therefore, poetry is inseparable from the accuracy of the language which is arranged aesthetically and creatively so that the meaning of poetry can be conveyed properly. Interpretive descriptive of images is used as the technique of this research. Image, as a way of looking at the meaning, is identified through the human senses. The method used is interpretative qualitative research method. The formulation of the problem is how the image in the poetru collection of Abdul Salam HS entitled "Malaikat Waringin". The purpose of this
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Hindarto, Djarot, and Endah Tri Esti Handayani. "Revolution in Image Data Collection: CycleGAN as a Dataset Generator." Sinkron 9, no. 1 (2024): 444–54. http://dx.doi.org/10.33395/sinkron.v9i1.13211.

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Computer vision, deep learning, and pattern recognition are just a few fields where image data collection has become crucial. The Cycle Generative Adversarial Network has become one of the most effective instruments in the recent revolution in image data collection. This research aims to comprehend the impact of CycleGAN on the collection of image datasets. CycleGAN, a variant of the Generative Adversarial Network model, has enabled the unprecedented generation of image datasets. CycleGAN can transform images from one domain to another without manual annotation by employing adversarial learnin
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Wang, Jiangning, Congtian Lin, Cuiping Bu, TianYu Xi, Zhaojun Wang, and Liqiang Ji. "The Practice of Deep Learning Methods in Biodiversity Information Collection." Biodiversity Information Science and Standards 3 (July 2, 2019): e37534. https://doi.org/10.3897/biss.3.37534.

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Deep learning is one machine learning method based on the layers used in artificial neural networks. The breakthrough of deep learning in classification led to its rapid application in speech recognition, natural language understanding, and image processing and recognition. In the field of biodiversity informatics, deep learning efforts are being applied in rapid species identification and counts of individuals identified based on image, audio, video, and other data types. However, deep learning methods hold great potential for application in all aspects of biodiversity informatics. We present
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Vizoso, M. Teresa, and Carmen Quesada. "Catalogue of type specimens of fungi and lichens deposited in the Herbarium of the University of Granada (Spain)." Biodiversity Data Journal 3 (July 13, 2015): e5204. https://doi.org/10.3897/BDJ.3.e5204.

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A catalogue of types from the Herbarium of the University of Granada has not previously been compiled. As a result, a search of these collections in order to compile digital images for preservation and publication yielded a large number of formerly unrecognized types. This dataset contains the specimen records from the catalogue of the nomenclature types of fungi and lichens in the Herbarium of the University of Granada, Spain. These herbarium specimens are included in the GDA and GDAC collections, acronyms from Index Herbariorum (Thiers 2014). At this time, the type collection of fungi and li
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Martell, Charles. "Editorial: Collection Development: The JANUS Image." College & Research Libraries 46, no. 2 (1985): 109–10. http://dx.doi.org/10.5860/crl_46_02_109.

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Dauter, Z. "Image-plate data collection in Hamburg." Acta Crystallographica Section A Foundations of Crystallography 49, s1 (1993): c12. http://dx.doi.org/10.1107/s010876737809964x.

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Toet, Alexander. "The TNO Multiband Image Data Collection." Data in Brief 15 (December 2017): 249–51. http://dx.doi.org/10.1016/j.dib.2017.09.038.

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Kramer, Elsa F. "IUPUI image collection: a usability survey." OCLC Systems & Services: International digital library perspectives 21, no. 4 (2005): 346–59. http://dx.doi.org/10.1108/10650750510631712.

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Rorvig, M. E., C. H. Turner, and J. Moncada. "The NASA Image Collection Visual Thesaurus." Journal of the American Society for Information Science 50, no. 9 (1999): 794–98. http://dx.doi.org/10.1002/(sici)1097-4571(1999)50:9<794::aid-asi8>3.0.co;2-y.

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Tremblay, Serge. "Canadian Forces Image Collection Digitization Plan." Archiving Conference 5, no. 1 (2008): 114–19. http://dx.doi.org/10.2352/issn.2168-3204.2008.5.1.art00022.

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Erwis, Else Liliani, Anwar Efendi, and Hartono. "Mother's Image in Joko Pinurbo's Poetry Collection Surat Kopi." Formosa Journal of Multidisciplinary Research 2, no. 12 (2023): 1871–92. http://dx.doi.org/10.55927/fjmr.v2i12.7400.

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This study aims to discuss the image of mothers in the poetry collection Surat Kopi by Joko Pinurbo. The research method used is descriptive qualitative using a hermeneutic approach. The data of this research is in the form of poetry quotations that contain words or phrases containing images of mothers, both physical, psychological, and social images. The data is obtained from the poems contained in the poetry collection Surat Kopi by Joko Pinurbo. The poems used as objects are 18 poems, with consideration of the suitability of the issues raised in the study. The results of this study describe
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Decker, Peter, Axel Christian, and Willi E. R. Xylander. "VIRMISCO – The Virtual Microscope Slide Collection." ZooKeys 741 (March 7, 2018): 271–82. http://dx.doi.org/10.3897/zookeys.741.22284.

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Digitisation allows scientists rapid access to research objects. For transparent to semi-transparent three-dimensional microscopic objects, such as microinvertebrates or small body parts of organisms, available databases are scarce. Most mounting media used for permanent microscope slides deteriorate after some years or decades, eventually leading to total damage and loss of the object. However, restoration is labour-intensive, and often the composition of the mounting media is not known. A digital preservation of important material, especially types, is important and an urgent need. The Virtu
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Decker, Peter, Axel Christian, and Willi E.R. Xylander. "VIRMISCO – The Virtual Microscope Slide Collection." ZooKeys 741 (March 7, 2018): 271–82. https://doi.org/10.3897/zookeys.741.22284.

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Digitisation allows scientists rapid access to research objects. For transparent to semi-transparent three-dimensional microscopic objects, such as microinvertebrates or small body parts of organisms, available databases are scarce. Most mounting media used for permanent microscope slides deteriorate after some years or decades, eventually leading to total damage and loss of the object. However, restoration is labour-intensive, and often the composition of the mounting media is not known. A digital preservation of important material, especially types, is important and an urgent need. The Virtu
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Moskolaï, Waytehad Rose, Wahabou Abdou, Albert Dipanda, and Kolyang Kolyang. "A Workflow for Collecting and Preprocessing Sentinel-1 Images for Time Series Prediction Suitable for Deep Learning Algorithms." Geomatics 2, no. 4 (2022): 435–56. http://dx.doi.org/10.3390/geomatics2040024.

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The satellite image time series are used for several applications such as predictive analysis. New techniques such as deep learning (DL) algorithms generally require long sequences of data to perform well; however, the complexity of satellite image preprocessing tasks leads to a lack of preprocessed datasets. Moreover, using conventional collection and preprocessing methods is time- and storage-consuming. In this paper, a workflow for collecting, preprocessing, and preparing Sentinel-1 images to use with DL algorithms is proposed. The process mainly consists of using scripts for collecting and
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Hoogendoorn, S. P., H. J. Van Zuylen, M. Schreuder, B. Gorte, and G. Vosselman. "Microscopic Traffic Data Collection by Remote Sensing." Transportation Research Record: Journal of the Transportation Research Board 1855, no. 1 (2003): 121–28. http://dx.doi.org/10.3141/1855-15.

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To gain insight into the behavior of drivers during congestion, and to develop and test theories and models that describe congested driving behavior, very detailed data are needed. A new data-collection system prototype is described for determining individual vehicle trajectories from sequences of digital aerial images. Software was developed to detect and track vehicles from image sequences. In addition to longitudinal and lateral position as a function of time, the system can determine vehicle length and width. Before vehicle detection and tracking can be achieved, the software handles corre
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Jin, Shaojie, Ying Gao, Shoucai Jing, Fei Hui, Xiangmo Zhao, and Jianzhen Liu. "Traffic Flow Parameters Collection under Variable Illumination Based on Data Fusion." Journal of Advanced Transportation 2021 (August 15, 2021): 1–14. http://dx.doi.org/10.1155/2021/4592124.

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Accurate traffic flow parameters are the supporting data for analyzing traffic flow characteristics. Vehicle detection using traffic surveillance pictures is a typical method for gathering traffic flow characteristics in urban traffic scenes. In complicated lighting conditions at night, however, neither classical nor deep-learning-based image processing algorithms can provide adequate detection results. This study proposes a fusion technique combining millimeter-wave radar data with image data to compensate for the lack of image-based vehicle detection under complicated lighting to complete al
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Hodosh, M., P. Young, and J. Hockenmaier. "Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics." Journal of Artificial Intelligence Research 47 (August 30, 2013): 853–99. http://dx.doi.org/10.1613/jair.3994.

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The ability to associate images with natural language sentences that describe what is depicted in them is a hallmark of image understanding, and a prerequisite for applications such as sentence-based image search. In analogy to image search, we propose to frame sentence-based image annotation as the task of ranking a given pool of captions. We introduce a new benchmark collection for sentence-based image description and search, consisting of 8,000 images that are each paired with five different captions which provide clear descriptions of the salient entities and events. We introduce a number
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Li, Q., Z. Zhang, W. Lu, J. Yang, Y. Ma, and W. Yao. "From pixels to patches: a cloud classification method based on bag of micro-structures." Atmospheric Measurement Techniques Discussions 8, no. 10 (2015): 10213–47. http://dx.doi.org/10.5194/amtd-8-10213-2015.

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Abstract. Automatic cloud classification has attracted more and more attention with the increasing development of whole sky imagers, but it is still in progress for ground-based cloud observation. This paper proposes a new cloud classification method, named bag of micro-structures (BoMS). This method treats an all-sky image as a collection of micro-structures mapped from image patches, rather than a collection of pixels. And then it constructs an image representation with a weighted histogram of micro-structures. Lastly, a support vector machine (SVM) classifier is applied on the image represe
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Woodward-Greene, M. Jennifer, Jason M. Kinser, Tad S. Sonstegard, Johann Sölkner, Iosif I. Vaisman, and Curtis P. Van Tassell. "PreciseEdge raster RGB image segmentation algorithm reduces user input for livestock digital body measurements highly correlated to real-world measurements." PLOS ONE 17, no. 10 (2022): e0275821. http://dx.doi.org/10.1371/journal.pone.0275821.

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Computer vision is a tool that could provide livestock producers with digital body measures and records that are important for animal health and production, namely body height and length, and chest girth. However, to build these tools, the scarcity of labeled training data sets with uniform images (pose, lighting) that also represent real-world livestock can be a challenge. Collecting images in a standard way, with manual image labeling is the gold standard to create such training data, but the time and cost can be prohibitive. We introduce the PreciseEdge image segmentation algorithm to addre
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Akhmetvaleev, R. R., I. A. Lackman, D. V. Popov, and M. V. Krasnoperov. "Image segmentation technique to support automatic marking of objects in endoscopic images." Informatization and communication, no. 2 (February 16, 2021): 146–54. http://dx.doi.org/10.34219/2078-8320-2021-12-2-146-154.

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The aim of this study is to develop a method for visual segmentation of various objects of endoscopic images based on a collection of endoscopic images. The method was developed on the basis of a collection of images obtained by ENVD LLC on a contractual basis with medical organizations of the Republic of Bashkortostan, Russia. The collection consists of 70 endoscopic images recording clinical cases diagnosed in accordance with the Paris Tumor Classification of Gastrointestinal Diseases. A number of machine vision operations were carried out, including image preprocessing, image sampling, and
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Sun, Ke Mei. "Wireless Image Transmission System." Applied Mechanics and Materials 336-338 (July 2013): 1661–64. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1661.

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A wireless image transmission system is proposed, which in order to offset the disadvantages of wire video monitor laying points hard, and disadvantages of wire video monitor implementing hard in bad circumstance. The core of the system is TI series of C5000 high speed DSP processor and radio frequency wireless communication chip. Through DSP transplantation of JPEG compression algorithm, complete image collection and image compression through DSP, use wireless receiving and sending module to complete wireless images data transmission. Use wireless receiving and sending module instead of emitt
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MacKenzie, Adrian, and Anna Munster. "Platform Seeing: Image Ensembles and Their Invisualities." Theory, Culture & Society 36, no. 5 (2019): 3–22. http://dx.doi.org/10.1177/0263276419847508.

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How can one ‘see’ the operationalization of contemporary visual culture, given the imperceptibility and apparent automation of so many processes and dimensions of visuality? Seeing – as a position from a singular mode of observation – has become problematic since many visual elements, techniques, and forms of observing are highly distributed through data practices of collection, analysis and prediction. Such practices are subtended by visual cultural techniques that are grounded in the development of image collections, image formatting and hardware design. In this article, we analyze recent tr
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Liu, Weiping, Jennifer Fung, W. J. de Ruijter, Hans Chen, John W. Sedat, and David A. Agard. "Automated electron tomography: from data collection to image processing." Proceedings, annual meeting, Electron Microscopy Society of America 53 (August 13, 1995): 26–27. http://dx.doi.org/10.1017/s0424820100136507.

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Electron tomography is a technique where many projections of an object are collected from the transmission electron microscope (TEM), and are then used to reconstruct the object in its entirety, allowing internal structure to be viewed. As vital as is the 3-D structural information and with no other 3-D imaging technique to compete in its resolution range, electron tomography of amorphous structures has been exercised only sporadically over the last ten years. Its general lack of popularity can be attributed to the tediousness of the entire process starting from the data collection, image proc
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Ørnager, Susanne, and Haakon Lund. "Billedindeksering og sociale medier." Nordisk Tidsskrift for Informationsvidenskab og Kulturformidling 8, no. 1 (2019): 2–21. http://dx.doi.org/10.7146/ntik.v8i1.115599.

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This article focuses on the methodologies, organization, and communication of digital image collection research that utilizes social media content. “Image” is here understood as a cultural, conventional, and commercial—stock photo—representation. Two methodologies i.e. PRISMA and Grounded Theory are employed to examine, categorize and analyze images and comprehend how humans consider them. The literature review covers research since 2005, when major social media platforms emerged. It demonstrates that the images on social media have not changed the overall direction of research into image inde
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Agard, D. A., A. J. Koster, M. B. Braunfeld, and J. W. Sedat. "Automated data collection for electron tomography." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (1992): 1044–45. http://dx.doi.org/10.1017/s0424820100129851.

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Three-dimensional imaging has become an important addition to the variety of methods available for research on biological structures. Non-crystalline samples can be examined by high resolution electron tomography which requires that projection data be collected over a large range of specimen tilts. Practical limitations of tomography are set by the large number of micrographs to be processed, and by the required (and tedious) recentering and refocusing of the object during data collection; especially for dose sensitive specimens. With automated electron tomography a number of these problems ca
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Yogaswara, Andrey Satwika, Disman Disman, Eeng Ahman, and Nugraha Nugraha. "Kinerja Dilihat dari Perspektif Kepemimpinan Militer dan Budaya Organisasi." Image : Jurnal Riset Manajemen 11, no. 2 (2023): 142–51. http://dx.doi.org/10.17509/image.2023.013.

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This study aims to determine the role of military leadership and organizational culture on leaders' performance in the TNI AD Military Police unit. The approach used is descriptive verification with multiple regression methods. The population in the study were 69 POMDAM and DENPOM commanders throughout Indonesia. Data collection used a questionnaire distributed via google forms in one data collection (cross-sectional method). Military leadership variables are measured by task-oriented, relationship-oriented, change-oriented, and external dimensions. Organizational culture variables are measure
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Bakış, Yasin, Xiaojun Wang, and Hank Bart. "Challenges in Curating 2D Multimedia Data in the Application of Machine Learning in Biodiversity Image Analysis." Biodiversity Information Science and Standards 5 (September 28, 2021): e75856. https://doi.org/10.3897/biss.5.75856.

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Over 1 billion biodiversity collection specimens ranging from fungi to fish to fossils are housed in more than 1,600 natural history collections across the United States. The digitization of these specimens has risen significantly within the last few decades and this is only likely to increase, as the use of digitized data gains more importance every day. Numerous experiments with automated image analysis have proven the practicality and usefulness of digitized biodiversity images by computational techniques such as neural networks and image processing. However, most of the computational techn
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Pflugrath, J. W. "The finer things in X-ray diffraction data collection." Acta Crystallographica Section D Biological Crystallography 55, no. 10 (1999): 1718–25. http://dx.doi.org/10.1107/s090744499900935x.

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X-ray diffraction images from two-dimensional position-sensitive detectors can be characterized as thick or thin, depending on whether the rotation-angle increment per image is greater than or less than the crystal mosaicity, respectively. The expectations and consequences of the processing of thick and thin images in terms of spatial overlap, saturated pixels, X-ray background andI/σ(I) are discussed. Thed*TREKsoftware suite for processing diffraction images is briefly introduced, and results fromd*TREKare compared with those from another popular package.
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