Relevant bibliographies by topics / Leaf segmentation

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Academic literature on the topic 'Leaf segmentation'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Leaf segmentation"

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Wang, Dong, Zetao Huang, Haipeng Yuan, Yun Liang, Shuqin Tu, and Cunyi Yang. "Target Soybean Leaf Segmentation Model Based on Leaf Localization and Guided Segmentation." Agriculture 13, no. 9 (2023): 1662. http://dx.doi.org/10.3390/agriculture13091662.

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The phenotypic characteristics of soybean leaves are of great significance for studying the growth status, physiological traits, and response to the environment of soybeans. The segmentation model for soybean leaves plays a crucial role in morphological analysis. However, current baseline segmentation models are unable to accurately segment leaves in soybean leaf images due to issues like leaf overlap. In this paper, we propose a target leaf segmentation model based on leaf localization and guided segmentation. The segmentation model adopts a two-stage segmentation framework. The first stage i
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Itakura, Kenta, and Fumiki Hosoi. "Automatic Leaf Segmentation for Estimating Leaf Area and Leaf Inclination Angle in 3D Plant Images." Sensors 18, no. 10 (2018): 3576. http://dx.doi.org/10.3390/s18103576.

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Automatic and efficient plant monitoring offers accurate plant management. Construction of three-dimensional (3D) models of plants and acquisition of their spatial information is an effective method for obtaining plant structural parameters. Here, 3D images of leaves constructed with multiple scenes taken from different positions were segmented automatically for the automatic retrieval of leaf areas and inclination angles. First, for the initial segmentation, leave images were viewed from the top, then leaves in the top-view images were segmented using distance transform and the watershed algo
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Wang, Peng, Hong Deng, Jiaxu Guo, et al. "Leaf Segmentation Using Modified YOLOv8-Seg Models." Life 14, no. 6 (2024): 780. http://dx.doi.org/10.3390/life14060780.

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Computer-vision-based plant leaf segmentation technology is of great significance for plant classification, monitoring of plant growth, precision agriculture, and other scientific research. In this paper, the YOLOv8-seg model was used for the automated segmentation of individual leaves in images. In order to improve the segmentation performance, we further introduced a Ghost module and a Bidirectional Feature Pyramid Network (BiFPN) module into the standard Yolov8 model and proposed two modified versions. The Ghost module can generate several intrinsic feature maps with cheap transformation op
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Et. al., Rajendra Prasad Bellapu,. "PERFORMANCE COMPARISON OF UNSUPERVISED SEGMENTATION ALGORITHMS ON RICE, GROUNDNUT, AND APPLE PLANT LEAF IMAGES." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 1090–105. http://dx.doi.org/10.17762/itii.v9i2.457.

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This paper focuses on plant leaf image segmentation by considering the aspects of various unsupervised segmentation techniques for automatic plant leaf disease detection. The segmented plant leaves are crucial in the process of automatic disease detection, quantification, and classification of plant diseases. Accurate and efficient assessment of plant diseases is required to avoid economic, social, and ecological losses. This may not be easy to achieve in practice due to multiple factors. It is challenging to segment out the affected area from the images of complex background. Thus, a robust s
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Kuo, Kuangting, Kenta Itakura, and Fumiki Hosoi. "Leaf Segmentation Based on k-Means Algorithm to Obtain Leaf Angle Distribution Using Terrestrial LiDAR." Remote Sensing 11, no. 21 (2019): 2536. http://dx.doi.org/10.3390/rs11212536.

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It is critical to take the variability of leaf angle distribution into account in a remote sensing analysis of a canopy system. Due to the physical limitations of field measurements, it is difficult to obtain leaf angles quickly and accurately, especially with a complicated canopy structure. An application of terrestrial LiDAR (Light Detection and Ranging) is a common solution for the purposes of leaf angle estimation, and it allows for the measurement and reconstruction of 3D canopy models with an arbitrary volume of leaves. However, in most cases, the leaf angle is estimated incorrectly due
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Mahajan, Vatsal, Dilip Jain, and Abhinav Dua. "Plant Leaf Segmentation Invariant of Background." International Journal of Computer & Organization Trends 12, no. 1 (2014): 24–26. http://dx.doi.org/10.14445/22492593/ijcot-v12p305.

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Ing, A., and W. Geisler. "Patch pair statistics for leaf segmentation." Journal of Vision 8, no. 6 (2010): 69. http://dx.doi.org/10.1167/8.6.69.

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Hu, Jing, Zhibo Chen, Rongguo Zhang, Meng Yang, and Shuai Zhang. "Robust random walk for leaf segmentation." IET Image Processing 14, no. 6 (2020): 1180–86. http://dx.doi.org/10.1049/iet-ipr.2018.6255.

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Li, Lei, Wenzheng Hu, Jiang Lu, and Changshui Zhang. "Leaf vein segmentation with self-supervision." Computers and Electronics in Agriculture 203 (December 2022): 107352. http://dx.doi.org/10.1016/j.compag.2022.107352.

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Mohammed Amean, Zainab, Tobias Low, and Nigel Hancock. "Automatic leaf segmentation and overlapping leaf separation using stereo vision." Array 12 (December 2021): 100099. http://dx.doi.org/10.1016/j.array.2021.100099.

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Dissertations / Theses on the topic "Leaf segmentation"

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Kesiman, Made Windu Antara. "Document image analysis of Balinese palm leaf manuscripts." Thesis, La Rochelle, 2018. http://www.theses.fr/2018LAROS013/document.

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Les collections de manuscrits sur feuilles de palmier sont devenues une partie intégrante de la culture et de la vie des peuples de l'Asie du Sud-Est. Avec l’augmentation des projets de numérisation des documents patrimoniaux à travers le monde, les collections de manuscrits sur feuilles de palmier ont finalement attiré l'attention des chercheurs en analyse d'images de documents (AID). Les travaux de recherche menés dans le cadre de cette thèse ont porté sur les manuscrits d'Indonésie, et en particulier sur les manuscrits de Bali. Nos travaux visent à proposer des méthodes d’analyse pour les m
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Braun, Marko. "The Segmentation of Reflectances from Moderate Resolution Remote Sensing Data for the Retrieval of Land Cover Specific Leaf Area Index." Diss., lmu, 2007. http://nbn-resolving.de/urn:nbn:de:bvb:19-75863.

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Ramalingam, Nagarajan. "Non-contact multispectral and thermal sensing techniques for detecting leaf surface wetness." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1104392582.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xxii, 271 p.; also includes graphics (some col.) Includes bibliographical references (p. 206-214).
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Forsthoefel, Dana. "Leap segmentation in mobile image and video analysis." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50285.

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As demand for real-time image processing increases, the need to improve the efficiency of image processing systems is growing. The process of image segmentation is often used in preprocessing stages of computer vision systems to reduce image data and increase processing efficiency. This dissertation introduces a novel image segmentation approach known as leap segmentation, which applies a flexible definition of adjacency to allow groupings of pixels into segments which need not be spatially contiguous and thus can more accurately correspond to large surfaces in the scene. Experiments show that
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Pinto, Pedro Jorge Fernandes. "Factors that lead physicians to initiate and maintain relationships with credit unions: a case study - Unicred Fortaleza." Universidade Federal do CearÃ, 2007. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=3608.

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nÃo hÃ<br>The high inflationary indices that had lasted in Brazil in the 80âs, had been damaging, for several segments of the society, benefiting few economic sectors. Among those segments that had grown in this uncommon conjuncture, the financial institutions are distinguished, companies that focused their activities in terms of keeping public founds and application from federal governmentâs papers, avoiding to carry through operations of loans and financings, preventing to run in risk. The management used to maximize profits and to prevent risks took these institutions to carry through great
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Singh, Vivek Kumar. "Segmentation and classification of multimodal medical images based on generative adversarial learning and convolutional neural networks." Doctoral thesis, Universitat Rovira i Virgili, 2019. http://hdl.handle.net/10803/668445.

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L’objectiu principal d’aquesta tesi és crear un sistema CAD avançat per a qualsevol tipus de modalitat d’imatge mèdica amb altes taxes de sensibilitat i especificitat basades en tècniques d’aprenentatge profund. Més concretament, volem millorar el mètode automàtic de detecció de les regions d’interès (ROI), que són àrees de la imatge que contenen possibles teixits malalts, així com la segmentació de les troballes (delimitació de la frontera) i, en definitiva, una predicció del diagnosi més adequat (classificació). En aquesta tesi ens centrem en diversos camps, que inclouen mamografies i
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Kratzer, Jan, and Christopher Lettl. "Distinctive Roles of Lead Users and Opinion Leaders in the Social Networks of Schoolchildren." University of Chicago Press, 2009. http://dx.doi.org/10.1086/599324.

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Prior research has shown that both lead users and opinion leaders may propel the diffusion of innovation. This raises the question of whether lead users and opinion leaders are positioned similarly in social networks, which we address using a sample of 23 school classes consisting of 537 children. Research among children is very scarce in this particular domain. Our statistical analyses based on hierarchical linear modeling reveal two general results: first, lead users among children appear to possess a variety of links between clusters; second, opinion leaders are locally positioned within cl
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Novák, Michal. "Komplexní marketingová strategie v online prostředí." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2011. http://www.nusl.cz/ntk/nusl-223301.

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This thesis provides basic overview of marketing concepts and tools which are available for the Internet environment. It also provides new trends and opportunities in the online environment. Output of the thesis will be efficient strategy for men's lifestyle magazine with usage of minimum finance sources. Eficiency will be taken by using of combination and application of marketing tools available in the Internet environment. The main goal is to get super-synergy affect of marketing mix components for maximum efficiency and minimum costs.
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Vašíček, Libor. "Efektivní správa paměti ve vícevláknových aplikacích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235931.

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This thesis describes design and implementation of effective memory management for multi-threaded applications. At first, the virtual memory possibilities are described, which can be found in the latest operating systems, such as Microsoft Windows and Linux. Afterwards the most frequently used algorithms for memory management are explained. Consequently, their features are used properly for a new memory manager. Final design includes particular tools for application debugging and profiling. At the end of the thesis a series of tests and evaluation of achieved results were done.
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Ju, Jiun-Huang, and 朱浚煌. "ELSA: A New Image Compression Using An Expanding-Leaf Segmentation Algorithm." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/08614739476610607329.

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碩士<br>國立屏東科技大學<br>資訊管理系所<br>97<br>The contents of abstract in this thesis The popularity of multimedia on the Internet has created a heavy load on storage capacity and network bandwidth. Consequently, digital content compression techniques have become significant and popular topics recently. Vector Quantization (VQ) is the most popular method in lossy image compression. An appropriate codebook design is an essential and helpful principle for Vector Quantization such as LBG (Linde, Buzo and Gray), SOM (Self-Organizing Map) and HSOM (Hierarchical SOM). The features of LBG are fast and simple, bu
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Book chapters on the topic "Leaf segmentation"

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Aparna, S., and R. Aarthi. "Segmentation of Tomato Plant Leaf." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3373-5_14.

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Farooqui, Nafees Akhter, Amit Kumar Mishra, Kanad Ray, and Saurav Mallik. "Leaf Disease Segmentation Using Uunet++ Architecture." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3937-0_52.

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Bhugra, Swati, Prerana Mukherjee, Vinay Kaushik, et al. "ICPR 2024 Leaf Inspect Competition: Leaf Instance Segmentation and Counting." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-80139-6_8.

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Wang, Jianlun, Shuangshuang Zhao, Rina Su, et al. "Optimized Grayscale Intervals Study of Leaf Image Segmentation." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22871-2_75.

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Chen, Kuifan, Zhao Zhang, Azizi Afshin, and Yunxia Li. "Corn Diseased Leaf Segmentation Under Different Illumination Conditions." In Smart Agriculture. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4141-0_3.

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F. Danilevicz, Monica, and Philipp Emanuel Bayer. "Machine Learning for Image Analysis: Leaf Disease Segmentation." In Plant Bioinformatics. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2067-0_22.

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Agarwal, Mohit, Suneet Kr Gupta, and K. K. Biswas. "Plant Leaf Disease Segmentation Using Compressed UNet Architecture." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75015-2_2.

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Valliammal, N., and S. N. Geethalakshmi. "Leaf and Flower Recognition Using Preferential Image Segmentation Algorithm." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24043-0_32.

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De Vylder, Jonas, Daniel Ochoa, Wilfried Philips, Laury Chaerle, and Dominique Van Der Straeten. "Leaf Segmentation and Tracking Using Probabilistic Parametric Active Contours." In Computer Vision/Computer Graphics Collaboration Techniques. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24136-9_7.

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Qiangqiang, Zhou, Wang Zhicheng, Zhao Weidong, and Chen Yufei. "Contour-Based Plant Leaf Image Segmentation Using Visual Saliency." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21963-9_5.

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Conference papers on the topic "Leaf segmentation"

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Abe, John Wesley, and Joel Ilao. "A Study of Open-Source Leaf Instance Segmentation Approaches Against Diverse Leaf Datasets." In 2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE, 2024. http://dx.doi.org/10.1109/m2vip62491.2024.10746205.

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M, Anu Kiruthika, Angelin Gladston, Shiny R. M, and Gracia Nissi S. "Agricultural Leaf Disease Segmentation Approaches Using Deep Learning." In 2024 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI). IEEE, 2024. https://doi.org/10.1109/icdici62993.2024.10810867.

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Chen, Feng, Sotirios A. Tsaftaris, and Mario Valerio Giuffrida. "GMT: Guided Mask Transformer for Leaf Instance Segmentation." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. https://doi.org/10.1109/wacv61041.2025.00126.

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Sadguru, Onaamika, M. Nagaraju, B. N. Nikhila Sree, and Nikhil Aakash Kasoju. "Hyperparameter Optimization for Leaf Infection Segmentation using Ensemble Techniques." In 2024 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI). IEEE, 2024. https://doi.org/10.1109/icdici62993.2024.10810815.

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Abe, John Wesley, Joel Ilao, and Greg Foliente. "Promptable Leaf Segmentation in Plant Phenotyping: Research Perspectives and Challenges." In 2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE, 2024. http://dx.doi.org/10.1109/m2vip62491.2024.10745998.

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Chen, Zili, Yilong Peng, Yaokai Yang, et al. "MD-Unet: Used for the Segmentation of Tobacco Leaf Lesions." In 2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 2024. http://dx.doi.org/10.1109/icsp62122.2024.10743866.

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Luo, Qianling, Li Xu, Fang Wan, and Guangbo Lei. "Semantic Segmentation of Rice Leaf Diseases Based on GEA-SegFormer." In 2024 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC). IEEE, 2024. https://doi.org/10.1109/icftic64248.2024.10913371.

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Velayudhan, Divya, Muhammad Shafay, Sajid Gul Khawaja, Naoufel Werghi, and Taimur Hassan. "Semi-supervised Segmentation-driven Classification Pipeline for Grading Cassava Leaf Diseases." In 2024 International Conference on Engineering and Emerging Technologies (ICEET). IEEE, 2024. https://doi.org/10.1109/iceet65156.2024.10913946.

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Bortty, Joy Chakra, Gouri Shankar Chakraborty, Salil Batra, Sourav Das Polok, Joy Das, and Isha. "Deep Learning Architectures for Tomato Leaf Disease Segmentation: A Comparative Analysis." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10984651.

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Xu, Fan, and Chunman Yan. "Research on apple leaf disease segmentation method based on improved U-net." In Sixteenth International Conference on Digital Image Processing (ICDIP 2024), edited by Zhaohui Wang, Jindong Tian, and Mrinal Mandal. SPIE, 2024. http://dx.doi.org/10.1117/12.3037273.

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Reports on the topic "Leaf segmentation"

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Arango-Arango, Carlos A., and Yanneth Rocío Betancourt-García. A Mixed Duopoly in the Provision of Payment Services. Banco de la República, 2024. http://dx.doi.org/10.32468/be.1280.

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In this paper, we study the coexistence of cash and electronic payments introducing some distortions in the payments markets to understand the widespread use of cash, specially in emerging countries. Following Lagos andWright (2005) we model explicitly some frictions in the exchange process considering money as essential. We introduce in this theoretical framework, theft and informality (measured by tax evasion), as factors a ecting cash usage and, therefore competition with an electronic payment method. In this paper, segmentation in the payments market is considered by introducing heterogene
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