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Relevant bibliographies by topics / Hue classification

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Academic literature on the topic 'Hue classification'

Author: Grafiati

Published: 23 September 2022

Last updated: 31 July 2025

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Journal articles on the topic "Hue classification"

1

Zhao, Yan, and Shuai Liu. "Robust Image Hashing Based on Cool and Warm Hue and Space Angle." Security and Communication Networks 2021 (July 19, 2021): 1–13. http://dx.doi.org/10.1155/2021/3803481.

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Image hashing has attracted more and more attention in the field of information security. In this paper, a novel hashing algorithm using cool and warm hue information and three-dimensional space angle is proposed. Firstly, the original image is preprocessed to get the opposite color component and the hue component H in HSV color space. Then, the distribution of cool and warm hue pixels is extracted from hue component H. Blocks the hue component H, according to the proportion of warm hue and cool hue pixels in each small block, combined with the quaternion and opposite color component, construc

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Shewfelt, R. L., J. K. Brecht, and C. N. Thai. "CLASSIFICATION OF TOMATO RIPENESS AND MATURITY BY FOOD COLORIMETRY." HortScience 27, no. 6 (1992): 651b—651. http://dx.doi.org/10.21273/hortsci.27.6.651b.

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Tomato ripeness is currently assessed by a subjective visual classification scheme based on external color while maturity of green fruit is based on a destructive evaluation of internal locule development. In an effort to develop an objective method of tomato maturity and ripeness classification, external color measurements were performed on fresh, sized (6×7) `mature-green' tomatoes (cv “Sunny') initially and through ripening using a Gardner XL-845 colorimeter. Hue angle (tan-1 b/a, designated θ) provided the best objective means of ripeness classification with proposed ranges for mature-gree

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Bible, Bernard B., and Richard J. McAvoy. "A CIELAB Color Classification Scheme for Poinsettias." HortScience 32, no. 3 (1997): 456F—456. http://dx.doi.org/10.21273/hortsci.32.3.456f.

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Forty-two poinsettia cultivars were grown as a 15-cm single-plant pinched crop at 21/16.5°C (day/night) temperatures during Fall 1995 with standard commercial practices for irrigating, fertilizing, and pest control. On 7 Dec., 156 consumers rated the cultivars for their overall appeal. On 11 Dec., color coordinate (CIELAB) readings for bracts and leaves were taken with a Minolta 200b colorimeter. The colorimeter was set to illuminate C and has a 8-mm aperture. Bracts and leaves were placed on a white tile background for colorimetric readings. In 1996, a similar evaluation was conducted with 55

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Diop, Papa Moussa, Naoki Oshiro, Morikazu Nakamura, Jin Takamoto, and Yuji Nakamura. "Design of Machine Learning Solutions to Post-Harvest Classification of Vegetal Species." AgriEngineering 5, no. 2 (2023): 1005–19. http://dx.doi.org/10.3390/agriengineering5020063.

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This paper presents a machine learning approach to automatically classifying post-harvest vegetal species. Color images of vegetal species were applied to convolutional neural networks (CNNs) and support vector machine (SVM) classifiers. We focused on okra as the target vegetal species and classified it into two quality types. However, our approach could also be applied to other species. The machine learning solution consists of several components, and each design process and its combinations are essential for classification quality. Therefore, we carefully investigated their effects on classi

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Pradeep M and Dr. M Siddappa. "CLASSIFICATION OF RICE USING CONVOLUTIONAL NEURAL NETWORK (CNN)." international journal of engineering technology and management sciences 7, no. 5 (2023): 455–63. http://dx.doi.org/10.46647/ijetms.2023.v07i05.056.

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This paper describes the technique for automatic recognition and classification of different rice grain samples using neural network classifier. The Red Green Blue (RGB), Hue Saturation Intensity (HSI) and Hue Saturation Value (HSV) color models of the image were considered for extracting 18 color features. The classification was carried out using color and texture features separately. The color image was converted to Gray scale image and the Gray Level Co-occurrence Matrixes (GLCM) for four different directions was calculated. A total of eight texture features were calculated from the Co-occu

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Miller, David L. "Over the rainbow: The classification of unique hues." Behavioral and Brain Sciences 20, no. 2 (1997): 204–5. http://dx.doi.org/10.1017/s0140525x97431424.

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Saunders & van Brakel's analysis of the phenomenal categorization and subsequent experimental research in unique hues fails to include contemporary methodological improvements. Alternative strategies are offered from the author's research that rely less on language and world knowledge and provide strong evidence for the general theoretical constructs of elemental hue, nonbasic, and basic color terms.

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Kim, Taehyeong, Dae-Hyun Lee, Kyoung-Chul Kim, Taeyong Choi, and Jun Myoung Yu. "Tomato Maturity Estimation Using Deep Neural Network." Applied Sciences 13, no. 1 (2022): 412. http://dx.doi.org/10.3390/app13010412.

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In this study, we propose a tomato maturity estimation approach based on a deep neural network. Tomato images were obtained using an RGB camera installed on a monitoring robot and samples were cropped to generate a dataset with which to train the classification model. The classification model is trained using cross-entropy loss and mean–variance loss, which can implicitly provide label distribution knowledge. For continuous maturity estimation in the test stage, the output probability distribution of four maturity classes is calculated as an expected (normalized) value. Our results demonstrate

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Park, DaEun, HaeRyung Hong, and YungKyung Park. "Fine Classification of Korean Skin Color by Tone and Hue." Journal of Korea Society of Color Studies 33, no. 3 (2019): 36–44. http://dx.doi.org/10.17289/jkscs.33.3.201908.36.

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Kim, Dong Sub, Da Uhm Lee, Jeong Ho Lim, Steven Kim, and Jeong Hee Choi. "Agreement Between Visual and Model-Based Classification of Tomato Fruit Ripening." Transactions of the ASABE 63, no. 3 (2020): 667–74. http://dx.doi.org/10.13031/trans.13812.

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Highlights Human visual classification and predictive models often disagree when only color indices are used. The degree of agreement is improved significantly when predictive models are cultivar-specific. The degree of agreement can be improved when firmness and carotenoid contents are considered. Abstract. Traditionally, the ripening stage of tomato fruit is determined by the observed percentage of red color on the fruit surface based on color charts provided by USDA standards. However, multiple observers can assign different ripening stages to the same tomato fruit due to subjectivity and/o

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S, Jeyalakshmi, and Radha R. "An effective approach to feature extraction for classification of plant diseases using machine learning." Indian Journal of Science and Technology 13, no. 32 (2020): 3295–314. https://doi.org/10.17485/IJST/v13i32.827.

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Abstract <strong>Objectives:</strong> To make automatic classification of diseased potato and grape leaf from normal potato and grape leaf. <strong>Methods:</strong> Experimental sample size of 3000 and 4270 Potato and Grape leaf images were used respectively. The diseased and healthy leaf image samples were taken from PlantVillage dataset. The color features viz., average Red, Green, Blue and Hue intensities of Lesion region were calculated. Features namely Contrast, Dissimilarity, Homogeneity, Energy, Correlation, ASM, and Entropy were extracted from hue lesion region. Also, h

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Dissertations / Theses on the topic "Hue classification"

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Morrison, Jeffrey Glenn. "The effects of hue and contrast on binary classification." Thesis, Georgia Institute of Technology, 1987. http://hdl.handle.net/1853/28758.

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Camargo, Marcel Pinton de. "Aerial machine vision, geographical information system and hue for pattern classification in agriculture." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-17012019-180101/.

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In this research we aim to achieve cybernetic cohesion information flow in precision agriculture, integrating machine learning methods, computer vision, geographical information system and UAV-photogrammetry in an irrigated area with slaughterhouse wastewater, under five treatments (W100 - irrigation with superficial water and 100% of nitrogen mineral fertilization, E0, E33, E66 and E100 - irrigation with treated effluent from slaughterhouse and addition of 0, 33, 66 and 100% of nitrogen mineral fertilization, respectively) and four replications on grassland (Cynodon dactylon (L.) Pers.). Seve

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Braun, Andreas, Volker Hochschild, Gia Tung Pham, Linh Hoang Khanh Nguyen, and Felix Bachofer. "Linking land subsidence to soil types within Hue city in Central Vietnam." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A70833.

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Coastal areas of Southeast Asia are progressively threatened by flooding as a consequence of more frequent precipitation extremes and rising sea levels. Especially urban areas are affected by flood risk which is additionally increased by surface subsidence related to building activities and groundwater extraction. However, the severity of subsidence as well as its triggers and environmental interrelations are only little understood. This study measures surface subsidence for Hue city by using persistent scatterer radar interferometry (PS-InSAR). A series of 53 images acquired by the Sentinel-1

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Van, Thi Yen, Hoang Khanh Linh Nguyen, Bich Ngoc Nguyen, and Quy Tai Le. "Study on biomass and carbon stock of woody floor at several forests in Bach Ma national park, Thua Thien Hue province." Technische Universität Dresden, 2016. https://tud.qucosa.de/id/qucosa%3A32415.

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The aims of the research are to identify biomass and estimate carbon stock of woody floor at some forest status in Bach Ma National Park and to recommend some solutions in order to improve the effectiveness of forest management toward sustainable development. Collecting the relative data through articles, books, internet information and organizations and inheriting the data from previous research on biomass and carbon stock. Moreover, the research implemented field surveys by designing 31 circular plots (1,256 m2) with three radii including 4 m, 14 m and 20 m for measuring trees from 5 to 20 c

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Nguyen, Hoang Khanh Linh, and Bich Ngoc Nguyen. "Mapping biomass and carbon stock of forest by remote sensing and GIS technology at Bach Ma National Park, Thua Thien Hue province." Technische Universität Dresden, 2016. https://tud.qucosa.de/id/qucosa%3A32416.

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The objective of this study is to build biomass and carbon stock map at several type of forest in Bach Ma National Park, Thua Thien Hue province. To accomplish that goal, field survey was accompanied with the interpretation result of remote satellite imagery in the GIS to determine biomass and carbon stock accumulation of forest. Landsat 8 satellite image year 2014 at 15 meters resolution was used for the analysis and classification of forest status. The results showed that the rich forest had the biggest amount biomass reserve in comparison with medium and restoration forest. It indicated tha

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Eldrogi, Nawal. "Vision par ordinateur poursuivi automatique et caracterisation decomportement de civelles." Thesis, Pau, 2021. http://www.theses.fr/2021PAUU3063.

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Le suivi des organismes vivants permet de comprendre les dangers qui les guettent et qui peuvent avoir des effets désastreux sur la biodiversité. Dans le cadre de la fédération de recherche MIRA (Milieux et Ressources Aquatiques) de l'université de Pau et des Pays de l'Adour, les laboratoires de biologie et d'informatique collaborent pour l'étude des poissons migrateurs du bassin de l'Adour. L'une des actions de recherche concerne l'acquisition de connaissances sur lecomportement migratoire d'une espèce menacée : la civelle d''anguille. Une hypothèse, à vérifier, est que le comportement migrat

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Schneider, Anke. "Farbeinflussfaktoren zur emotionalen Bildwirkung und ihre Bedeutung für das Retrieval von Tourismusbildern." Universitätsverlag Chemnitz, 2015. https://monarch.qucosa.de/id/qucosa%3A20550.

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Der Einsatz von Bildern in den unterschiedlichsten Bereichen ist enorm gestiegen, da Bilder die Fähigkeit haben Erlebnisse, sowie Emotionen zu erzeugen und die Phantasie anzuregen. Zudem lässt die rasante Entwicklung im Multimediabereich die Anzahl der fotografierten und gespeicherten Bilder steigen. Die Suche nach dem „besten Bild“ für z.B. eine Kampagne gestaltet sich schwierig, da die Inhalte mehrerer Bilder zu einem Thema nicht selten eine hohe Ähnlichkeit aufweisen. Die Bilder können sich allerdings sehr deutlich in ihren Low-Level Features, wie Farbton, Sättigung und Helligkeit, untersch

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Chen, Yen-Lun. "Margin and Domain Classifications for Target Detection over Huge Population of Outliers." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269539889.

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Steinhauser, Dominik. "Detekce a rozpoznání hub v přirozeném prostředí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363798.

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In this thesis is handled the problem of mushroom detection and recognition in natural environment. Convolutional neural networks are used. The beginning of this thesis is dedicated to the theory of neural networks. Further is solved the problem of object detection and classification. Using neural network trained for classification is solved also the task of localization. Results of trained CNNs are analised.

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Drude, Matthias. "Balduin und das Heu." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1237145119116-68508.

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Books on the topic "Hue classification"

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author, Zhang Chengfu, ed. Zhongguo shen hua mu ti suo yin. Shanxi shi fan da xue chu ban she, 2018.

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U-PARL. Toshokan ga tsunagu Ajia no chi: Bunruihō kara kangaeru = The library as the hub of knowledge in Asia : classification for supporting and advancing research in Asian studies. Tōkyō Daigaku Shuppankai, 2020.

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Tyttl, František. Historický atlas hub: Obrazy Františka Tyttla = Historischer Atlas der Pilze : Bilder von František Tyttl = A historical atlas of fungi : pictures by František Tyttl. Academia, 2008.

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Chen, Xinqi. Zhongguo lan hua. Xin hua shu dian Beijing fa xing suo fa xing, 1998.

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Yin erh mu ho hua erh mu. Kʻo hsüeh chʻu pan she, 1992.

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Herring, Jonathan. 2. Actus Reus: The Conduct Element. Oxford University Press, 2018. http://dx.doi.org/10.1093/he/9780198811817.003.0002.

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The actus reus is a central aspect of criminal law that defines the harm done to the victim and the wrong performed by the defendant. In many cases this involves proof that the defendant caused a particular result. This chapter begins by distinguishing the component elements of a crime. It then discusses the voluntary act ‘requirement’; causation; classification of offences; the need for a voluntary act; omissions; and seeking a coherent approach to causation.

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MacKenzie, Judith-Anne. 2. Interests in land. Oxford University Press, 2016. http://dx.doi.org/10.1093/he/9780198748373.003.0002.

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Course-focused and comprehensive, the Textbook on series provide an accessible overview of the key areas on the law curriculum. This chapter explains how one person may have rights over land owned by another. It identifies the people who may have rights over Trant House—rights that could be enforced not only against Vernon, the fee simple owner, but also against anyone who acquires the property from him. The discussions cover interests in land; legal interests; equitable interests; legal and equitable interests compared; the multiplicity of rights; and the classification of property.

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Hannibal, Martin, and Lisa Mountford. 1. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/he/9780198823216.003.0001.

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This introductory chapter briefly sets out the volume’s purpose, which is to explain the legal, procedural and evidential rules governing how cases are dealt with by the criminal justice system. It then explains the philosophy of the text and its unique features; introduces the key personnel and organisations within the criminal justice system; introduces the Criminal Procedure Rules; explains the classification of offences according to their trial venue; summarizes the jurisdiction of the criminal courts; stresses the importance of the pervasive issue of human rights; and highlights professio

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Hannibal, Martin, and Lisa Mountford. 1. Introduction. Oxford University Press, 2016. http://dx.doi.org/10.1093/he/9780198765905.003.0001.

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This introductory chapter briefly sets out the volume’s purpose, which is to explain the legal, procedural and evidential rules governing how cases are dealt with by the criminal justice system. It then explains the philosophy of the text and its unique features; introduces the key personnel and organisations within the criminal justice system; introduces the Criminal Procedure Rules; explains the classification of offences according to their trial venue; summarizes the jurisdiction of the criminal courts; stresses the importance of the pervasive issue of human rights; and highlights professio

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Hannibal, Martin, and Lisa Mountford. 1. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/he/9780198787679.003.0001.

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This introductory chapter briefly sets out the volume’s purpose, which is to explain the legal, procedural and evidential rules governing how cases are dealt with by the criminal justice system. It then explains the philosophy of the text and its unique features; introduces the key personnel and organisations within the criminal justice system; introduces the Criminal Procedure Rules; explains the classification of offences according to their trial venue; summarizes the jurisdiction of the criminal courts; stresses the importance of the pervasive issue of human rights; and highlights professio

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Book chapters on the topic "Hue classification"

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O’Hare, Cerwyss. "Folk Classification in the HTE ‘Plants’ category." In Categorization in the History of English. John Benjamins Publishing Company, 2004. http://dx.doi.org/10.1075/cilt.261.10oha.

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Lelu, Alain. "Clusters and factors: neural algorithms for a novel representation of huge and highly multidimensional data sets." In New Approaches in Classification and Data Analysis. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-51175-2_27.

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Tomašev, Nenad, and Dunja Mladenić. "Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification." In Advanced Information Systems Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40991-2_41.

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Chittora, Anshu, and Hemant A. Patil. "Modified Group Delay Based Features for Asthma and HIE Infant Cries Classification." In Text, Speech, and Dialogue. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24033-6_67.

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Deneckère, Rébecca, Elena Kornyshova, Kaoutar Sadouki, and Sjaak Brinkkemper. "Taxonomy of the Scientific Domain of Smart Life." In Smart Life and Smart Life Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-75887-4_2.

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Abstract The field of Smart Life represents a large spectrum of various application domains coming from very established ones as Smart energy and Smart home to very recent ones as Smart environment, Smart airport, or Smart Earth. We observed a substantial growth in the scientific literature with over 126,000 papers containing “Smart” in their titles in 2021. Despite this huge number, we did not identify a detailed classification of these fields in the existing literature. There is still a notable gap in the classification and systematization of these fields. To address this, we developed a gen

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Lin, Xiaoli, Xiaolong Zhang, and Jing Hu. "Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions." In Intelligent Computing Theories and Application. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63312-1_32.

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Cuevas, Erik, Daniel Zaldivar, Marco Perez-Cisneros, and Marco Block. "LVQ Neural Networks in Color Segmentation." In Soft Computing Methods for Practical Environment Solutions. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-893-7.ch004.

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Segmentation in color images is a complex and challenging task in particular to overcome changes in light intensity caused by noise and shadowing. Most of the segmentation algorithms do not tolerate variations in color hue corresponding to the same object. By means of the Learning Vector Quantization (LVQ) networks, neighboring neurons are able to learn how to recognize close sections of the input space. Neighboring neurons would thus correspond to color regions illuminated in different ways. This chapter presents an image segmentator approach based on LVQ networks which considers the segmenta

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Lunney, Mark, Donal Nolan, and Ken Oliphant. "1. General Introduction." In Tort Law: Text and Materials. Oxford University Press, 2017. http://dx.doi.org/10.1093/he/9780198745525.003.0001.

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This chapter first discusses the historical development of tort law, covering the origins of tort law; the forms of action; the development of fault-based liability; eighteenth-century developments; the classification of obligations; and the modern pre-eminence of negligence. It then turns to theories of tort, covering the aims of the law of tort and doctrinal classifications. Finally, the chapter considers modern influences on tort law, covering the influence of insurance; the influence of human rights; and concerns about ‘compensation culture’.

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Nolan, Donal, and Ken Oliphant. "1. General Introduction." In Lunney & Oliphant's Tort Law. Oxford University Press, 2023. http://dx.doi.org/10.1093/he/9780198865117.003.0001.

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This chapter serves as an introduction to the law of tort. It first discusses the historical development of tort law, covering its early origins; the forms of action including the writ of trespass and the action on the case; the development of fault-based liability; the recognition of a distinct liability for negligence in the eighteenth century and the move away from the erstwhile distinction between direct and indirect injury; early attempts at the classification of the law of obligations; and the modern pre-eminence of negligence. The focus then turns to theories of tort, covering the aims

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Koffman, Laurence, and Elizabeth Macdonald. "Classification of terms." In The Law of Contract. Oxford University Press, 2010. http://dx.doi.org/10.1093/he/9780199570201.003.0573.

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Conference papers on the topic "Hue classification"

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Boswell-Koller, Cosima, and Victor Rodriguez-Santiago. "Corrosion Risk Assessment through Dynamic Environmental Monitoring on Board a Naval Ship." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-09735.

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Abstract Naval aviation and materiel are constantly exposed to environments conducive to corrosion and subsequent maintenance/repair of corrosion products remains a huge budgetary concern for the Naval Aviation Enterprise (NAE). As such, ongoing research into the prediction and prevention of corrosion within the fleet is necessary. Environmental exposure sites provide the closest correlation between corrosion degradation and damage experienced in-service; unfortunately, this type of testing is time-consuming, not widely accessible, and provides cumulative data only. Consequently, an in-depth u

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Xu, Feng, and Yujin Zhang. "Atmosphere-based image classification through luminance and hue." In Visual Communications and Image Processing 2005. SPIE, 2005. http://dx.doi.org/10.1117/12.631579.

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Trivedi, Vijay Kumar, Piyush Kumar Shukla, and Anjana Pandey. "Hue based Plant Leaves Disease Detection and Classification Using Machine Learning Approach." In 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2021. http://dx.doi.org/10.1109/csnt51715.2021.9509667.

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Sari, Yuslena, Muhammad Alkaff, and Muti'a Maulida. "Classification of Rice Leaf using Fuzzy Logic and Hue Saturation Value (HSV) to Determine Fertilizer Dosage." In 2020 Fifth International Conference on Informatics and Computing (ICIC). IEEE, 2020. http://dx.doi.org/10.1109/icic50835.2020.9288585.

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Romani, S., P. Sobrevilla, and E. Montseny. "On the Reliability Degree of Hue and Saturation Values of a Pixel for Color Image Classification." In Proceedings of the IEEE International Conference on Fuzzy Systems. IEEE, 2005. http://dx.doi.org/10.1109/fuzzy.2005.1452411.

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Fitriyah, Hurriyatul, Edita Rosana Widasari, and Gembong Edhi Setyawan. "Traffic sign recognition using edge detection and eigen-face: Comparison between with and without color pre-classification based on Hue." In 2017 International Conference on Sustainable Information Engineering and Technology (SIET). IEEE, 2017. http://dx.doi.org/10.1109/siet.2017.8304127.

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Trejo, Leonard J., and Gregory W. Lewis. "Individual differences in classification of transient, isoluminant, chromatic signals: a behavioral and electrophysiological analysis." In OSA Annual Meeting. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.fk1.

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Individual differences in classification of transient, isoluminant, chromatic signals were studied in 39 male subjects (age 29 ± 2.9 yr). Chromatic contrast was constrained to either R-G or B-Y axes of opponent color theory. Subjects binocularly and centrally fixated a light grey (D6500, 10.3 ft-L), 14° by 9.7° background. Stimuli uniformly replaced the central 7° by 6.5° of the background for 10.8 ms and had either low or high contrast with respect to it. Achromatic stimuli were also presented. Recorded data included two-alternative forced choice responses (based on stimulus hue) and event-re

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Bellia, L., F. Diglio, A. Sharma, and F. Fragliasso. "CORRELATING PHOTOPIC AND MELANOPIC REFLECTANCE TO SURFACE COLOUR ATTRIBUTES FOR INDOOR ENVIRONMENTS DESIGN." In CIE 2023 Conference. International Commission on Illumination, CIE, 2023. http://dx.doi.org/10.25039/x50.2023.po003.

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Reflecting the incident radiation, opaque surfaces contribute to determining visual and non-visual responses to light. Material’s photopic and melanopic reflectance indicate surfaces’ potential in reflecting the radiation able to stimulate the visual system and the circadian one respectively. Classification of materials based on the ratio between these two quantities (M/P) is helpful to drive designers’ choices. This study applies a systematic analysis on 195 samples selected from the Natural Colour System to deepen how colours’ attributes (hue, chromaticness, and blackness) influence photopic

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Meng, Hui, and Xiaojun Liu. "Feasibility and Effectiveness of 2D Highlighting Methods Applied in 3D Modeling." In Intelligent Human Systems Integration (IHSI 2024) Integrating People and Intelligent Systems. AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004531.

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The requirements for human-computer interaction in digitalized 3D production line systems are increasing in combination with the advancement of intelligent manufacturing research. However, there is a dearth of interaction research on these systems, particularly about information highlighting. This work examines the viability and impact of utilizing 2D highlighting techniques on 3D models inside digitalized 3D manufacturing line systems. A reintegrated classification method for visual variables is proposed, and the consequences and properties of static visual variables applied to 3D maps are ad

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Bassoult, Luis Ahindel Castellanos, Ricardo Alcantara, Arturo Perez Hernandez, Rafael Perez Vazquez, and Adela Velasquez. "Identification of Porous Systems in Complex Carbonates Using Artificial Intelligence." In Offshore Technology Conference. OTC, 2025. https://doi.org/10.4043/35513-ms.

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Abstract Reliable data is fundamental for volumetric hydrocarbon assessments and the development of optimal production scenarios. Understanding and interpreting reservoir behavior through porous system distribution reduces uncertainty in volumetric calculations, particularly for water saturation (Sw). Derived from Archie’s equation, Sw is a key reservoir quality indicator that is heavily influenced by the cementation exponent (m), which reflects pore system distribution and connectivity. This study introduces an innovative Artificial Intelligence (AI)-driven workflow that integrates geological

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Reports on the topic "Hue classification"

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Ander, Kjell. An abdominal stridulation organ in Cyphoderris (Prophalangopsidae) and concerning the systematic classification of the Ensifera (Saltatoria). MacEwan University Library, 2021. http://dx.doi.org/10.31542/r.gm:2687.

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Ensiferan insects (crickets, katydids, grigs and allies) are well known for rubbing parts of their cuticle together to produce sound: a process called stridulation. In this article Swedish entomologist Kjell Ander describes a novel (at the time) stridulatory apparatus in the great grig, Cyphoderris monstrosa (Prophalangopsidae), a relict ensiferan found in the mountainous regions of western North America. Ander used preserved specimens to predict the sound-producing function of a pair of abdominal file-scraper apparatuses, although he was never able to directly test his proposed mechanism nor

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Ander, Kjell. An abdominal stridulation organ in Cyphoderris (Prophalangopsidae) and concerning the systematic classification of the Ensifera (Saltatoria). MacEwan University Library, 2021. http://dx.doi.org/10.31542/r.gm:2687.

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Ensiferan insects (crickets, katydids, grigs and allies) are well known for rubbing parts of their cuticle together to produce sound: a process called stridulation. In this article Swedish entomologist Kjell Ander describes a novel (at the time) stridulatory apparatus in the great grig, Cyphoderris monstrosa (Prophalangopsidae), a relict ensiferan found in the mountainous regions of western North America. Ander used preserved specimens to predict the sound-producing function of a pair of abdominal file-scraper apparatuses, although he was never able to directly test his proposed mechanism nor

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Ross, Andrew, David Johnson, Hai Le, Danny Griffin, Carl Mudd, and David Dawson. USACE Advanced Modeling Object Standard : Release 1.0. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42152.

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The U.S. Army Corps of Engineers (USACE) Advanced Modeling Object Standard (AMOS) has been developed by the CAD/BIM Technology Center for Facilities, Infrastructure, and Environment to establish standards for support of the Advanced Modeling process within the Department of Defense (DoD) and the Federal Government. The critical component of Advanced Modeling is the objects themselves- and either make the modeling process more difficult or more successful. This manual is part of an initiative to develop a nonproprietary Advanced Modeling standard that incorporates both vertical construction and

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More precise classification of risk in prostate cancer reveals a huge variation in treatment. National Institute for Health Research, 2020. http://dx.doi.org/10.3310/alert_41227.

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