Relevant bibliographies by topics / Principles of segmentation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Principles of segmentation'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Principles of segmentation"

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Skarnitzl, Radek, and Pavel Machač. "Principles of Phonetic Segmentation." Phonetica 68, no. 3 (2011): 198–99. http://dx.doi.org/10.1159/000331902.

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Greengrove, Kathryn. "Needs-Based Segmentation: Principles and Practice." International Journal of Market Research 44, no. 4 (2002): 1–16. http://dx.doi.org/10.1177/147078530204400402.

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While the principles of needs or benefit-based market segmentation have been long established, its potential value as a route to a stronger market understanding and ultimately competitive advantage has been largely untapped in pharmaceutical marketing research, with internal process rather than market focus driving market understanding. Many of the tensions around the use of geodemographics for market segmentation in the consumer work are mirrored in the use of classification systems and diagnosis in the pharmaceutical environment. This paper presents the application of needs-based segmentatio
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Goryushkina, N. E., T. V. Gaifutdinova, E. V. Logvina, A. G. Redkin, V. V. Kudryavtsev, and Y. N. Shol. "Basic Principles of Tourist Services Market Segmentation." International Journal of Economics and Business Administration VII, Issue 2 (2019): 139–50. http://dx.doi.org/10.35808/ijeba/222.

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Garami, Linda, and József Fiser. "Temporal segmentation principles in vision and audition." Journal of Vision 24, no. 10 (2024): 1117. http://dx.doi.org/10.1167/jov.24.10.1117.

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Kulawik, Adam. "Principle of the Verse Segmentation." Annales Universitatis Paedagogicae Cracoviensis. Studia Poetica 12 (December 23, 2024): 421–57. https://doi.org/10.24917/23534583.12.25.

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This article is a translation of a part of a collective book published in 1984, which forms the foundations of the prosodic theory of verse, an original research project that was further developed into an independent theory of verse in several books. The paper explores the theoretical framework and principles underlying the segmentation of verse, distinguishing it from prose, argues that traditional verse theory has struggled to define and analyze verse effectively due to its reliance on metrics. The author proposes a redefinition of verse, emphasizing the role of prosodic segmentation, and ve
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Torkki, Paulus, Riikka-Leena Leskelä, Pirjo Mustonen, Miika Linna, and Paul Lillrank. "How to extend value-based healthcare to population-based healthcare systems? Defining an outcome-based segmentation model for health authority." BMJ Open 13, no. 11 (2023): e077250. http://dx.doi.org/10.1136/bmjopen-2023-077250.

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ObjectivesValue-based healthcare (VBHC) is considered the most promising guiding principle for a new generation of health service production. Many countries have attempted to apply VBHC to managerial and clinical decision-making. However, implementation remains in its infancy and varies between countries. The objective of the study is to help health systems implement a value-based approach by building an outcome-based population segmentation model for health authorities (HAs).DesignFirst, we define the principles according to which segmentation models in healthcare could be developed. Second,
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Kaushal, Rajesh Kumar, Naveen Kumar, Surya Narayan Panda, Priyanka Datta, and Jyoti Sharma. "Improving Learning Outcome with Segmentation and Cueing." Journal of Engineering Education Transformations 35, no. 1 (2021): 60–65. http://dx.doi.org/10.16920/jeet/2021/v35i1/22057.

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Abstract : The computer animations certainly help in deeply understanding the complex concepts. Moreover, computer animations are broadly used for nearly all subject disciplines. Some past studies highlighted that comprehension can be improved by deploying effective design principles within the computer animations. Thus, this study is aimed at finding the effectiveness of design principles particularly when segmentation and cueing design principles are served together within computer animations. A quantitative experimental study was designed and conducted. A total of 56 students willingly part
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HAVRYLKO, P. P., T. V. HUSHTAN, and K. Yu. SIMEKH. "Peculiarities of the application of the model for determining potential sales zones in the company's product sales system." Market Relations Development in Ukraine №3(262)2023 111 (May 23, 2023): 49–54. https://doi.org/10.5281/zenodo.7963933.

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The subject of the study is the application of the model for determining potential sales zones in the company’s product sales system. The purpose of the study is to determine the principles and factors of market segmentation of the company’s products. Research methods. The work uses the dialectical method of scientific knowledge, the method of analysis and synthesis, the comparative method, and the method of summarizing data. Work results. The paper defines the main principles of market segmentation of the company’s products. Factors taken into account when building a potenti
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Al Shehhi, Rasha, Prashanth Reddy Marpu, and Wei Lee Woon. "An Automatic Cognitive Graph-Based Segmentation for Detection of Blood Vessels in Retinal Images." Mathematical Problems in Engineering 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/7906165.

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This paper presents a hierarchical graph-based segmentation for blood vessel detection in digital retinal images. This segmentation employs some of perceptual Gestalt principles: similarity, closure, continuity, and proximity to merge segments into coherent connected vessel-like patterns. The integration of Gestalt principles is based on object-based features (e.g., color and black top-hat (BTH) morphology and context) and graph-analysis algorithms (e.g., Dijkstra path). The segmentation framework consists of two main steps: preprocessing and multiscale graph-based segmentation. Preprocessing
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Rozhko, Viktor. "Justification of consumer market segmentation as a mandatory tool of strategic marketing." Technology audit and production reserves 2, no. 4(70) (2023): 15–19. http://dx.doi.org/10.15587/2706-5448.2023.277373.

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The object of research is the theoretical aspects of consumer market segmentation and its role in strategic marketing. Ukrainian enterprises try to use and carry out various measures to increase the competitiveness of products, actively using methods of internal planning and management based on the principles of strategic marketing. One of the tools for developing a marketing plan in strategic marketing is segmentation. However, the content of strategic marketing is debatable; there is no unambiguous comprehensive approach, according to which consumer market segmentation is carried out. Thus,
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Dissertations / Theses on the topic "Principles of segmentation"

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Harrison, Anna. "Principles of experience design for airport terminals." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/83947/1/Anna_Harrison_Thesis.pdf.

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In this thesis, the issue of airport terminal design is examined from a novel perspective: that of the passenger rather than the airport operator. A qualitative approach, based on interviews with 199 passengers at Brisbane International Terminal was adopted. The outcomes of this research make the following three key contributions to existing knowledge: (i) identification of a paradox in the Level of Service metrics, (ii) development of a conceptual model of passenger experience and six design principles and (iii) contribution towards advancing the theoretical knowledge about passengers and
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Dietrich, Timo Henrik Oliver. "Extending the Social Marketing Footprint to Alcohol Education: The Principles of Segmentation and Co-Creation." Thesis, Griffith University, 2015. http://hdl.handle.net/10072/366159.

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This research program responds to previous research in social marketing which has indicated that programs adopting social marketing principles are more effective (e.g. Carins & Rundle-Thiele, 2014; Gordon, McDermott, Stead, & Angus, 2006; Stead, Gordon, Angus, & McDermott, 2007; Truong, 2014). Social marketing principles have been used in programs directed at reducing excessive alcohol consumption in diverse contexts such as drunk driving (Rothschild, Mastin, & Miller, 2006), pregnant women (Glik, Prelip, Myerson, & Eilers, 2008) and universities (Vinci, Philen, Walch, Kennedy, Harrell, et al.
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Падалка, В. І. "Удосконалення політики збуту на підприємстві". Master's thesis, Сумський державний університет, 2019. http://essuir.sumdu.edu.ua/handle/123456789/76324.

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Мета роботи - пошук ефективної моделі сегментації ринків товарів промислового призначення, оцінка виділених сегментів і їх відбір в якості цільових. Об'єктом дослідження обрано ринок хімічних насосів. Методи досліджень: експертний метод, аналітичний метод розрахунку кількісних показників сегмента, методика комплексної критеріальної оцінки сегмента. Отримані результати відображають узагальнення розрізнених способів сегментації ринку і вибору цільових сегментів в нову модель дослідження.
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Germond, Laurence. "Trois principes de coopération pour la segmentation en imagerie de résonnance magnétique cérébrale." Phd thesis, Université Joseph Fourier (Grenoble), 1999. http://tel.archives-ouvertes.fr/tel-00004835.

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Le travail présenté dans ce document a pour but la mise en oeuvre d'un système de segmentation d'Images de Résonance Magnétique (IRM) cérébrales qui permette de tirer parti de plusieurs approches complémentaires en réponse à la complexité du problème posé. Face à la diversité des approches existant pour la segmentation (classification, modèles déformables,...) nous montrons que l'on peut définir un cadre de travail commun qui permette la mise en oeuvre de coopération entre des approches hétérogènes. Le cadre méthodologique que nous avons défini s'articule autour des notions d'apprentissage et
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Meignen, Sylvain. "Problèmes d'échelle dans la segmentation par ondelettes d'images texturées." Université Joseph Fourier (Grenoble), 2001. http://www.theses.fr/2001GRE10241.

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Nous nous intéressons dans cette thèse à la segmentation d'images texturées à l'aide de frame d'ondelettes. Après avoir étudié les frames, en particulier les relations qui lient l'approche continue à l'approche discrète, nous nous focalisons particulièrement sur l'étude des problèmes d'échelle liés à la segmentation des macro-textures. Nous proposons des algorithmes particulièrement adaptés au traitement spécifique de ce type de textures, qui utilisent de nouvelles caractéristiques : les facteurs principaux d'une analyse en composantes principales. Des liens sont établis avec des caractéristiq
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Ghandour, Sarah. "Segmentation d'images couleurs par morphologie mathématique : application aux images microscopiques." Toulouse 3, 2010. http://thesesups.ups-tlse.fr/867.

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Dans ces travaux de thèse, nous avons proposé une nouvelle méthode de segmentation automatique et non supervisée basée sur la morphologie mathématique. D'abord, l'algorithme de segmentation développé a été appliqué sur une stratégie de segmentation marginale. Cette dernière consiste à segmenter les trois composantes rouge, vert et bleu indépendamment et à les fusionner pour obtenir l'image couleur finale traitée. Ensuite, l'analyse en composante principale (ACP) a été utilisée afin d'optimiser le temps de calcul de l'algorithme de segmentation. Une étape d'extraction d'attributs de formes et d
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Montagnat, Johan. "Segmentation d'image médicales volumiques à l'aide de maillages déformables contraints." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 1996. http://tel.archives-ouvertes.fr/tel-00691915.

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La segmentation d'organes abdominaux dans des images médicales volumiques est rendue difficile par le bruit et le faible contraste de ces images. Les techniques de segmentation classiques à base d'extraction de contours ou de seuillage donnent des résultats insuffisants. Dans ce rapport, nous utilisons des modèles déformables pour segmenter les images. En introduisant un modèle de l'organe voulu dans le processus de segmentation, nous bénéficions d'une connaissance a priori de la forme à retrouver. Nous utilisons des images de contour bruitées pour déformer localement le modèle. Les données de
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Wojak, Julien. "Analyse d'images multimodales TEP-TDM du thorax : Application à l'oncologie : segmentation de tumeurs, d'organes à risque et suivi longitudinal pour la radiothérapie." Paris, Télécom ParisTech, 2010. http://pastel.archives-ouvertes.fr/pastel-00567100.

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En oncologie du thorax, les modalités d'imagerie de tomodensitométrie (TDM) et d'imagerie d'émission de positons (TEP) sont souvent utilisées conjointement, pour le diagnostic ou pour l'élaboration de plans de traitement. En effet, le développement d'appareils d'acquisition combinant ces deux modalités permet leur utilisation conjointe possible en routine clinique sans une difficulté préalable de recalage. Le premier objectif est de proposer des méthodes de segmentation automatiques de tumeurs ou ganglions à l'aide des deux modalités. La modalité TDM étant anatomiquement plus précise les segme
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Martin, Pascal. "Application du principe de minimisation de la complexité stochastique à la segmentation d'images bruitées par contour actif." Aix-Marseille 3, 2006. http://www.theses.fr/2006AIX30010.

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La segmentation d'image consiste à diviser une image en différentes régions d'intérêts possédant certaines propriétés d'homogénéité. Elle intervient dans de multiples domaines d'applications et les images à traiter peuvent alors être perturbées par des bruits de natures différentes. La majorité des techniques de segmentation développée nécessite le réglage d'au moins un paramètre dans le critère à optimiser. Au cours de cette thèse, nous présentons des algorithmes de segmentation en deux régions qui reposent sur la minimisation de la complexité stochastique de l'image. Nous proposons notamment
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Sebbar, Abdeljalil. "Synthèse et segmentation markovienne d'images sur la base d'informations propres à la texture." Compiègne, 1989. http://www.theses.fr/1989COMPD177.

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De nouveaux algorithmes de synthèse et de segmentation de textures et de segmentation d'images bruitées sont étudiés. L'approche bayésienne utilisant les champs aléatoires de Markov a été adaptée pour modéliser la texture. Pour la synthèse de texture un ensemble de paramètres composé de filtres adaptés et des variances des images filtrées correspondantes est extrait lors d'une phase d'apprentissage. Ces paramètres sont ensuite utilisés dans un modèle markovien pour la synthèse de texture. On a pu ainsi tester la pertinence du modèle et des paramètres choisis. Ces derniers ont donc ensuite été
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Books on the topic "Principles of segmentation"

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Tevfik, Dalgic, ed. Handbook of niche marketing: Principles and practice. Best Business Books, Haworth Reference Press, 2005.

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Linton, Ian. The spider principle: How to tailor your marketing network to suitlocal needs. Pitman, 1993.

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Linton, Ian. The spider principle: How to tailor your marketing network to suit local needs. Financial Times, 1993.

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Reznik, Galina. Marketing. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1242303.

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The textbook is the fourth edition, contains a detailed presentation of the topics of the discipline "Marketing". In an accessible and understandable form, the key concepts of the discipline "Marketing"are considered. In particular, the reader will get an idea of the essence of marketing, its types, principles, functions and basic elements; the environment of marketing and the conditions in which it can be applied. The textbook reveals the concept of the market, its types, capacity and segmentation; competition, its types, the role of the enterprise in the competition in order to achieve key s
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Naumov, Vladimir. Markets information and communication technology and sales organization. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/21026.

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In the textbook sets out the basic information about the structure of markets, information and communication technologies (ICT), the methods of their research, assessing the attractiveness and forecasting, criteria and methods of segmentation. Deals with the organization of the sales Department of an IT company, involving analysis of organizational forms, population division, methods of remuneration and non-material incentives for experts dealing with sales of ICT products. Sets out the methodology for strategic sales of complex IT solutions, the technique of negotiation and the basics of neur
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Lei, Tao, and Asoke K. Nandi. Image Segmentation: Principles, Techniques, and Applications. Wiley & Sons, Incorporated, John, 2022.

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Lei, Tao, and Asoke K. Nandi. Image Segmentation: Principles, Techniques, and Applications. Wiley & Sons, Incorporated, John, 2022.

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Lei, Tao, and Asoke K. Nandi. Image Segmentation: Principles, Techniques, and Applications. Wiley & Sons, Limited, John, 2022.

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Lei, Tao, and Asoke K. Nandi. Image Segmentation: Principles, Techniques, and Applications. Wiley & Sons, Incorporated, John, 2022.

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Godwin, Dr Suma, Dr R. Margaret Selvi, and Dr A. Amali Vinupriyadharshini. PRINCIPLES OF MARKETING. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2024. http://dx.doi.org/10.47716/978-93-92090-66-0.

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Abstract This textbook, Principles of Marketing, offers an in-depth exploration of fundamental and modern marketing concepts designed to make learning accessible to students at various levels. It covers essential topics such as market segmentation, consumer behavior, product development, pricing strategies, promotions, distribution channels, and competitive analysis. Emphasizing both theoretical frameworks and real-world applications, the book integrates modern trends like digital marketing, e-marketing, and ethical considerations in global markets. Through practical examples, case studies, an
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Book chapters on the topic "Principles of segmentation"

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Toennies, Klaus D. "Segmentation: Principles and Basic Techniques." In Guide to Medical Image Analysis. Springer London, 2017. http://dx.doi.org/10.1007/978-1-4471-7320-5_6.

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Toennies, Klaus D. "Segmentation: Principles and Basic Techniques." In Guide to Medical Image Analysis. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2751-2_6.

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Anozie, Uzoamaka. "Marketing Strategy: Segmentation, Targeting and Positioning." In Principles of Marketing. Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-0-230-39269-4_5.

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Schmidt, Rudi. "Unlocking the Code of Innovation: TRIZ Theory’s Blueprint for Precision Medicine Breakthroughs." In Innovations in Healthcare and Outcome Measurement. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77302-0_1.

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Abstract Is there a fundamental “grand unified theory” that can systematically explain and predict innovations and inventions in precision medicine? An approach that is more than 70 years old may be able to answer this question. The Theory of Inventive Problem Solving (TRIZ) has revolutionized the space of innovation and problem-solving since its inception in the mid-twentieth century. Based on the analysis of hundreds of thousands of inventions in many fields, it extrapolated a matrix of contradictory patterns (problems) and generalizable innovation principles to solve these problems. Researc
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Cheng, Hwee Ming, Kin Kheong Mah, and Kumar Seluakumaran. "Motility: Peristalsis, Segmentation, Haustration and Mass Movement." In Defining Physiology: Principles, Themes, Concepts. Volume 2. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62285-5_10.

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Zheng, Guofeng. "MEP Principles and the Segmentation and Representation of TMEs." In The Segmentation and Representation of Translocative Motion Events in English and Chinese Discourse. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4037-4_2.

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Suri, Jasjit S., S. K. Setarehdan, Rakesh Sharma, Sameer Singh, Yansun Xu, and Laura Reden. "Basic Principles of Image Generation for Ultrasound, X-Rays, Magnetic Resonance, Computed Tomography and Positron Emission Tomography." In Advanced Algorithmic Approaches to Medical Image Segmentation. Springer London, 2002. http://dx.doi.org/10.1007/978-0-85729-333-6_1.

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Perotto, Filipo Studzinski. "Collaborative Multi-agent System for Automatic Linear Text Segmentation." In PRIMA 2022: Principles and Practice of Multi-Agent Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21203-1_35.

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Grinias, Elias, and Georgios Tziritas. "Convexity and Connectivity Principles Applied for Left Ventricle Segmentation and Quantification." In Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12029-0_42.

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Bennai, Mohamed T., Zahia Guessoum, Smaine Mazouzi, Stéphane Cormier, and Mohamed Mezghiche. "Towards a Generic Multi-agent Approach for Medical Image Segmentation." In PRIMA 2017: Principles and Practice of Multi-Agent Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69131-2_12.

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Conference papers on the topic "Principles of segmentation"

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Nigudgi, Surekha, and Gayatri Joshi. "ENNP: A Logical Strategy to Design an Improved Medical Image Segmentation Process using Elevated Neural Network Principle." In 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2024. http://dx.doi.org/10.1109/i-smac61858.2024.10714647.

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Chen, Cheng, and Guoliang Fan. "Perception Principles Guided Video Segmentation." In 2005 IEEE 7th Workshop on Multimedia Signal Processing. IEEE, 2005. http://dx.doi.org/10.1109/mmsp.2005.248664.

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Bonnin, P., and B. Zavidovique. "Principles and Applications of a New Cooperative Segmentation Methodology." In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, edited by William A. Pearlman. SPIE, 1989. http://dx.doi.org/10.1117/12.970078.

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Vega-Riveros, J. Fernando, and Hector J. Santos Villalobos. "Graphic design principles for automated document segmentation and understanding." In Electronic Imaging 2006, edited by Kazem Taghva and Xiaofan Lin. SPIE, 2006. http://dx.doi.org/10.1117/12.648508.

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BORISOV, BORISLAV. "MACHINE VISION - BASIC PRINCIPLES, TECHNOLOGIES, APPLICATIONS." In INTERNATIONAL SCIENTIFIC CONFERENCE MATHTECH 2024. Konstantin Preslavsky University Press, 2024. https://doi.org/10.46687/pzka7056.

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Machine vision is an area of artificial intelligence and computer science that deals with the acquisition, analysis, and interpretation of visual information from the environment. This article examines the history, basic principles and technologies, and applications of machine vision in various fields. Key concepts such as image capture, preprocessing, segmentation, feature extraction, and classification are covered. In addition, the paper discusses the use of deep neural networks in machine vision systems, such as CNNs, RNNs, and GANs, and their optimization. Applications of machine vision in
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Celaya, Adrian, Beatrice Riviere, and David Fuentes. "FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation." In LatinX in AI at Neural Information Processing Systems Conference 2023. Journal of LatinX in AI Research, 2023. http://dx.doi.org/10.52591/lxai202312104.

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Accurate medical imaging segmentation is critical for precise and effective medical interventions. However, despite the success of convolutional neural networks (CNNs) in medical image segmentation, they still face challenges in handling fine-scale features and variations in image scales. These challenges are particularly evident in complex and challenging segmentation tasks, such as the BraTS multilabel brain tumor segmentation challenge. In this task, accurately segmenting the various tumor sub-components, which vary significantly in size and shape, remains a significant challenge, with even
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Mahapatra, Dwarikanath, Peter J. Schuffler, Jeroen A. W. Tielbeek, et al. "Active learning based segmentation of Crohn's disease using principles of visual saliency." In 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014). IEEE, 2014. http://dx.doi.org/10.1109/isbi.2014.6867850.

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Kootstra, Gert, and Danica Kragic. "Fast and bottom-up object detection, segmentation, and evaluation using Gestalt principles." In 2011 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2011. http://dx.doi.org/10.1109/icra.2011.5980410.

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Kalb, Tobias, and Jürgen Beyerer. "Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions." In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.01869.

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Gao, Yue. "Embedding Gestalt Principles to Hierarchical Distance Dependent Nonparametric Bayesian Model for Video Segmentation." In 2019 3rd International Symposium on Autonomous Systems (ISAS). IEEE, 2019. http://dx.doi.org/10.1109/isass.2019.8757719.

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Reports on the topic "Principles of segmentation"

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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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Abstract:
The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, s
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