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Relevant bibliographies by topics / Image partition

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Academic literature on the topic 'Image partition'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "Image partition"

1

Wang, Lei, Bo Yu, Fang Chen, Congrong Li, Bin Li, and Ning Wang. "A Cluster-Based Partition Method of Remote Sensing Data for Efficient Distributed Image Processing." Remote Sensing 14, no. 19 (2022): 4964. http://dx.doi.org/10.3390/rs14194964.

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Data stream partitioning is a fundamental and important mechanism for distributed systems. However, use of an inappropriate partition scheme may generate a data skew problem, which can influence the execution efficiency of many application tasks. Processing of skewed partitions usually takes a longer time, need more computational resources to complete the task and can even become a performance bottleneck. To solve such data skew issues, this paper proposes a novel partition method to divide on demand the image tiles uniformly into partitions. The partitioning problem is then transformed into a

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Jung, Ho Yub, and Kyoung Mu Lee. "Image Segmentation by Edge Partitioning over a Nonsubmodular Markov Random Field." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/683176.

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Edge weight-based segmentation methods, such as normalized cut or minimum cut, require a partition number specification for their energy formulation. The number of partitions plays an important role in the segmentation overall quality. However, finding a suitable partition number is a nontrivial problem, and the numbers are ordinarily manually assigned. This is an aspect of the general partition problem, where finding the partition number is an important and difficult issue. In this paper, the edge weights instead of the pixels are partitioned to segment the images. By partitioning the edge we

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Zuo, Yong Xia, Guo Qiang Wang, and Chun Cheng Zuo. "The Segmentation Algorithm for Pavement Cracking Images Based on the Improved Fuzzy Clustering." Applied Mechanics and Materials 319 (May 2013): 362–66. http://dx.doi.org/10.4028/www.scientific.net/amm.319.362.

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The segmentation technology of pavement cracking image is critical for identifying, quantifying and classifying pavement cracks. An improved fuzzy clustering algorithm is introduced to segment pavement cracking images. The algorithm makes no assumptions the initial position of clusters. For each value of the multiscale parameter, it obtains a corresponding hard partition. The different partitions values of the multiscale parameter indicate the structure of the image in different partitional scales. The algorithm was tested on actual pavement cracking images. We compared the results with FCM an

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Jiang, Chun, Tao Chen, Changzheng Lu, et al. "Automatic Inhomogeneous Background Correction for Spatial Target Detection Image Based on Partition Processing." Photonics 10, no. 4 (2023): 433. http://dx.doi.org/10.3390/photonics10040433.

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High-resolution imaging with wide field of view (FoV) ground-based telescopes is often affected by skylight background and noise due to the detector, resulting in an inhomogeneous background. In this paper, we propose an improved method for spatial image non-uniformity correction based on partition processing. First, an evaluation metric is introduced to evaluate the partition size and automatically iterate a suitable partition value for different scenarios based on the different operating conditions of the telescope. Then, we iteratively calculate the mean and variance in each partitioned reg

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Liang, Dong, Rui Wang, Xiaowei Tian, and Cong Zou. "PCGAN: Partition-Controlled Human Image Generation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8698–705. http://dx.doi.org/10.1609/aaai.v33i01.33018698.

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Human image generation is a very challenging task since it is affected by many factors. Many human image generation methods focus on generating human images conditioned on a given pose, while the generated backgrounds are often blurred. In this paper, we propose a novel Partition-Controlled GAN to generate human images according to target pose and background. Firstly, human poses in the given images are extracted, and foreground/background are partitioned for further use. Secondly, we extract and fuse appearance features, pose features and background features to generate the desired images. Ex

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Alqadi, Ziad, and Mohammad Al-Raqqad. "Securing Message Steganography by using Modified LSB Method." International Journal of Computer Science and Mobile Computing 12, no. 4 (2023): 110–24. http://dx.doi.org/10.47760/ijcsmc.2023.v12i04.010.

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Message steganography is one of the popular methods used to protect secret message. In this research paper a modified LSB method of message steganography will be introduced. The introduced method will use a complicated private key to protect the message from being hacked, the key will provide an excellent key space capable to resist hacking attacks, it will contain 6 values with a double data type. The private key will be used to divide the covering image into segments and divide the secret message into partitions; each message partition will be hidden in one image segment. The hiding and extr

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Yao, Hongtai, Xianpei Wang, Le Zhao, et al. "An Object-Based Markov Random Field with Partition-Global Alternately Updated for Semantic Segmentation of High Spatial Resolution Remote Sensing Image." Remote Sensing 14, no. 1 (2021): 127. http://dx.doi.org/10.3390/rs14010127.

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The Markov random field (MRF) method is widely used in remote sensing image semantic segmentation because of its excellent spatial (relationship description) ability. However, there are some targets that are relatively small and sparsely distributed in the entire image, which makes it easy to misclassify these pixels into different classes. To solve this problem, this paper proposes an object-based Markov random field method with partition-global alternately updated (OMRF-PGAU). First, four partition images are constructed based on the original image, they overlap with each other and can be re

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Alameddine, Jihan, Kacem Chehdi, and Claude Cariou. "Hierarchical Unsupervised Partitioning of Large Size Data and Its Application to Hyperspectral Images." Remote Sensing 13, no. 23 (2021): 4874. http://dx.doi.org/10.3390/rs13234874.

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In this paper, we propose a true unsupervised method to partition large-size images, where the number of classes, training samples, and other a priori information is not known. Thus, partitioning an image without any knowledge is a great challenge. This novel adaptive and hierarchical classification method is based on affinity propagation, where all criteria and parameters are adaptively calculated from the image to be partitioned. It is reliable to objectively discover classes of an image without user intervention and therefore satisfies all the objectives of an unsupervised method. Hierarchi

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Lin, Cheng-Shian, Chien-Chang Chen, and Yu-Cheng Chen. "XOR-Based Progressively Secret Image Sharing." Mathematics 9, no. 6 (2021): 612. http://dx.doi.org/10.3390/math9060612.

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Secret image sharing technology is a strategy for jointly protecting secret images. The (n, n) secret image sharing problem can be solved by conventional Boolean calculation easily. However, how to recover secret images with progressive steps is not addressed. In this study, we proposed an XOR-based (m, t, Ti) multi-secret image sharing scheme that shares m secret images among m participants and recovers m shared images progressively with t thresholds. The proposed secret images partition strategy (SIPS) partitions m secret images to generate intermediate images for different thresholds in the

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Chiang, Yung-Kuei, Piyu Tsai, and Feng-Long Huang. "Codebook Partition Based Steganography without Member Restriction." Fundamenta Informaticae 82, no. 1-2 (2008): 15–27. https://doi.org/10.3233/fun-2008-821-202.

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The practice of concealing secret messages into index-based images has generally suffered from problems of image quality degradation and hiding capacity restriction. A steganographic scheme using an improved codebook partition is proposed in this paper. The proposed scheme partitions the codebook into different member sub-clusters in terms of their similarity between the codewords for increasing the hiding capacity and reducing the image distortion. Any size of a subcluster was allowed in the proposed scheme, so as to improve the traditional approaches in which the size of a sub-cluster was re

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Dissertations / Theses on the topic "Image partition"

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Bernat, Andrew. "Which partition scheme for what image?, partitioned iterated function systems for fractal image compression." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2002. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ65602.pdf.

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Lu, Huihai. "Evolutionary image analysis in binary partition trees." Thesis, University of Essex, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438156.

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Valero, Valbuena Silvia. "Hyperspectral image representation and processing with binary partition trees." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/130832.

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The optimal exploitation of the information provided by hyperspectral images requires the development of advanced image processing tools. Therefore, under the title Hyperspectral image representation and Processing with Binary Partition Trees, this PhD thesis proposes the construction and the processing of a new region-based hierarchical hyperspectral image representation: the Binary Partition Tree (BPT). This hierarchical region-based representation can be interpreted as a set of hierarchical regions stored in a tree structure. Hence, the Binary Partition Tree succeeds in presenting: (i) the

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Zhao, Mansuo. "Image Thresholding Technique Based On Fuzzy Partition And Entropy Maximization." University of Sydney. School of Electrical and Information Engineering, 2005. http://hdl.handle.net/2123/699.

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Thresholding is a commonly used technique in image segmentation because of its fast and easy application. For this reason threshold selection is an important issue. There are two general approaches to threshold selection. One approach is based on the histogram of the image while the other is based on the gray scale information located in the local small areas. The histogram of an image contains some statistical data of the grayscale or color ingredients. In this thesis, an adaptive logical thresholding method is proposed for the binarization of blueprint images first. The new method exploits t

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Zhao, Mansuo. "Image Thresholding Technique Based On Fuzzy Partition And Entropy Maximization." Thesis, The University of Sydney, 2004. http://hdl.handle.net/2123/699.

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Thresholding is a commonly used technique in image segmentation because of its fast and easy application. For this reason threshold selection is an important issue. There are two general approaches to threshold selection. One approach is based on the histogram of the image while the other is based on the gray scale information located in the local small areas. The histogram of an image contains some statistical data of the grayscale or color ingredients. In this thesis, an adaptive logical thresholding method is proposed for the binarization of blueprint images first. The new method exploits t

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Cutolo, Alfredo. "Image partition and video segmentation using the Mumford-Shah functional." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/280.

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2010 - 2011<br>The aim of this Thesis is to present an image partition and video segmentation procedure, based on the minimization of a modified version of Mumford-Shah functional. The Mumford-Shah functional used for image partition has been then extended to develop a video segmentation procedure. Differently by the image processing, in video analysis besides the usual spatial connectivity of pixels (or regions) on each single frame, we have a natural notion of “temporal” connectivity between pixels (or regions) on consecutive frames given by the optical flow. In this case, it makes sense to

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Sudirman. "Colour image coding indexing and retrieval using binary space partition tree." Thesis, University of Nottingham, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275171.

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Berry, Dominic William. "Adaptive phase measurements /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16247.pdf.

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Kim, Il-Ryeol. "Wavelet domain partition-based signal processing with applications to image denoising and compression." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 2.98 Mb., 119 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3221054.

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Gomila, Cristina. "Mise en correspondance de partitions en vue du suivi d'objets." Phd thesis, École Nationale Supérieure des Mines de Paris, 2001. http://pastel.archives-ouvertes.fr/pastel-00003272.

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Dans le domaine des applications multimédia, les futurs standards vont permettre de créer de nouvelles voies de communication, d'accès et de manipulation de l'information audiovisuelle qui vont bien au-delà de la simple compression à laquelle se limitaient les standards de codage précédents. Parmi les nouvelles fonctionnalités, il est espéré que l'utilisateur pourra avoir accès au contenu des images par édition et manipulation des objets présents. Néanmoins, la standardisation ne couvre que la représentation et le codage de ces objets, en laissant ouvert un large champ de développement pour ce

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Books on the topic "Image partition"

1

Pearlman, William A., and Amir Said. Set Partition Coding: Part I of Set Partition Coding and Image Wavelet Coding Systems. Now Publishers, 2008.

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Pearlman, William A., and Amir Said. Image Wavelet Coding Systems: Part II of Set Partition Coding and Image Wavelet Coding Systems. Now Publishers, 2008.

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Jaffrelot, Christophe. Gujarat Under Modi. Oxford University Press, 2024. http://dx.doi.org/10.1093/oso/9780197787502.001.0001.

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Abstract In 2012 Narendra Modi became the first Hindu nationalist politician thrice elected to lead a state of the Indian Union, his stewardship as Chief Minister of Gujarat being the longest in that state’s history. Modi and his BJP supporters explained his achievement by pointing to economic growth under his leadership, yet detractors point out that Modi has been more business-friendly than market-friendly—to the benefit of large industrial corporations, and at the cost of great social polarization.In 2002, an anti-Muslim pogrom of unparalleled ferocity occurred in Gujarat, leading to the bi

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Hughes, Frank W., and Robert Jewett. Corinthian Correspondence. The Rowman & Littlefield Publishing Group, Inc., 2021. https://doi.org/10.5040/9781978719934.

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In The Corinthian Correspondence, Frank W. Hughes and Robert Jewett argue that there were eight original letters by the Apostle Paul to the church in Corinth. In the first part of the book, they use literary and redaction criticism to show the reasons for the partition theory of 1 and 2 Corinthians. Analyzing each of the eight letters and letter-fragments using rhetorical criticism, they show how the original Corinthian letters were edited and reshaped into 1 and 2 Corinthians in the New Testament. After reflections on the rhetoric of these letters and the historical meaning of the reshaping o

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Grene, Nicholas. Farming in Modern Irish Literature. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198861294.001.0001.

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This innovative study analyzes the range of representation of farming in Irish literature in the period since independence/partition in 1922, as Ireland moved from a largely agricultural to a developed urban society. In many different forms, poetry, drama, fiction, and autobiography, writers have made literary capital by looking back at their rural backgrounds, even where those may be a generation back. The first five chapters examine some of the key themes: the impact of inheritance on family, in the patriarchal system where there could only be one male heir; the struggles for survival in the

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Book chapters on the topic "Image partition"

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Pearlman, William A. "Set Partition Embedded Block (SPECK) Coding." In Wavelet Image Compression. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-02248-7_5.

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Fernandez, Gregory, and Chabane Djeraba. "Partition Cardinality Estimation in Image Repositories." In Mining Multimedia and Complex Data. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39666-6_15.

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Lee, David C., Qifa Ke, and Michael Isard. "Partition Min-Hash for Partial Duplicate Image Discovery." In Computer Vision – ECCV 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15549-9_47.

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Brémond, R., and F. Marqués. "Segmentation-Based Morphological Interpolation of Partition Sequences." In Mathematical Morphology and its Applications to Image and Signal Processing. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0469-2_43.

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Ouzounis, Georgios K., and Pierre Soille. "Pattern Spectra from Partition Pyramids and Hierarchies." In Mathematical Morphology and Its Applications to Image and Signal Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21569-8_10.

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Yang, Yuting, and Houliang Kang. "A Novel Algorithm of Contour Tracking and Partition for Dongba Hieroglyph." In Image and Graphics Technologies and Applications. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1702-6_16.

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Song, Chang, Yifeng Zhang, and Guojun Lu. "Reversible Data Hiding in Encrypted Images Based on Image Partition and Spatial Correlation." In Digital Forensics and Watermarking. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11389-6_14.

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Marie-Julie, Jean Michel, and Hassane Essafi. "Image indexing by using a rotation and scale invariant partition." In Multimedia Applications, Services and Techniques — ECMAST'98. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64594-2_93.

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Zhang, Mengmeng, Aibin Huang, Ruyu Zhai, and Saqing Wang. "Adaptive Partition Total Variation Algorithm for Medical Ultrasound Image Denoising." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1673-1_18.

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Vega-Pons, Sandro, and José Ruiz-Shulcloper. "Partition Selection Approach for Hierarchical Clustering Based on Clustering Ensemble." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16687-7_69.

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Conference papers on the topic "Image partition"

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Juneja, Akshay, Vijay Kumar, and Sunil Kumar Singla. "Partition Explainer Next Generation in Single Image Dehazing." In 2024 IEEE International Conference on Contemporary Computing and Communications (InC4). IEEE, 2024. http://dx.doi.org/10.1109/inc460750.2024.10649081.

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Lian, Zhiyou, and Jianhua Ren. "A Fast Image Mosaic Algorithm Based on Feature Partition Extraction." In 2024 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC). IEEE, 2024. http://dx.doi.org/10.1109/ipec61310.2024.00019.

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Niu, Hongwei, Zhewen Mao, and Yan Wang. "Multi-image partition steganography method based on phase multiplexing technology." In Second International Conference on Big Data, Computational Intelligence and Applications (BDCIA 2024), edited by Sos S. Agaian. SPIE, 2025. https://doi.org/10.1117/12.3059449.

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Ausbeck, Jr., Paul J. "Image partition boundary coding." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Andrew G. Tescher. SPIE, 1998. http://dx.doi.org/10.1117/12.323195.

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Salembier, Philippe. "Motion-compensated partition coding." In Visual Communications and Image Processing '96, edited by Rashid Ansari and Mark J. T. Smith. SPIE, 1996. http://dx.doi.org/10.1117/12.233255.

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Zhang, Daming, Maosheng Fu, Dengdi Sun, and Bin Luo. "Image threshold selection with Isoperimetric partition." In Education (ICCSE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccse.2010.5593621.

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Jiang Ke and Wang Jing-jing. "Web-based Image Scale dynamic partition." In 2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design 1. IEEE, 2010. http://dx.doi.org/10.1109/caidcd.2010.5681335.

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Hung, Edson M., Ricardo L. De Queiroz, and Debargha Mukherjee. "On Macroblock Partition for Motion Compensation." In 2006 International Conference on Image Processing. IEEE, 2006. http://dx.doi.org/10.1109/icip.2006.312686.

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Guan, Mingyang, Changyun Wen, Kwang-Yong Lim, et al. "Visual tracking via random partition image hashing." In 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2016. http://dx.doi.org/10.1109/icarcv.2016.7838673.

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Valero, Silvia, Philippe Salembier, and Jocelyn Chanussot. "Hyperspectral image segmentation using Binary Partition Trees." In 2011 18th IEEE International Conference on Image Processing (ICIP 2011). IEEE, 2011. http://dx.doi.org/10.1109/icip.2011.6115666.

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Reports on the topic "Image partition"

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Mishra, Vinod, and Chung Chieh Kuo. Methodology of Soft Partition for Image Classification. DEVCOM Army Research Laboratory, 2024. https://doi.org/10.21236/ad1221872.

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Mitra, Suman K., C. A. Murthy, and Malay K. Kundu. A Technique for Image Magnification Using Partitioned Iterative Function System. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada370871.

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Potamianos, Gerasimos, and John Goutsias. Stochastic Simulation Techniques for Partition Function Approximation of Gibbs Random Field Images. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada238611.

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