Academic literature on the topic 'Jsteg'

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Journal articles on the topic "Jsteg"

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Kodovsky, Jan, and Jessica Fridrich. "Quantitative Structural Steganalysis of Jsteg." IEEE Transactions on Information Forensics and Security 5, no. 4 (2010): 681–93. http://dx.doi.org/10.1109/tifs.2010.2056684.

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Pan, Binmin, Tong Qiao, Jiaming Li, Yiyang Chen, and Chunfang Yang. "Novel Hidden Bit Location Method towards JPEG Steganography." Security and Communication Networks 2022 (May 19, 2022): 1–13. http://dx.doi.org/10.1155/2022/8230263.

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Image steganalysis has been widely studied, most of which can only complete the binary task of identifying the existence of hidden bits in an inquiry image. Currently, although some algorithms have been proposed to locate hidden bits, most of them mainly focus on the spatial domain, while usually ignoring the study of locating secret bits hidden in DCT domain for JPEG image. To address that challengeable problem, in this paper, towards two classical steganographic algorithms JSteg and F5, hiding bits in DCT domain, we propose a novel payload location method. The principal step of payload locat
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Wang, Jie, Chunfang Yang, Ping Wang, Xiaofeng Song, and Jicang Lu. "Payload location for JPEG image steganography based on co-frequency sub-image filtering." International Journal of Distributed Sensor Networks 16, no. 1 (2020): 155014771989956. http://dx.doi.org/10.1177/1550147719899569.

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In digital steganography, due to difficulties estimating the JPEG cover image, it is still very hard to accurately locate the hidden message embedded in a JPEG image. Therefore, this study proposes a payload location method for a category of pseudo-random scrambled JPEG image steganography. In order to estimate the quantized discrete cosine transform coefficients in the cover JPEG image, a cover JPEG image estimation method is proposed based on co-frequency sub-image filtering. The proposed payload location method defines a general residual, uses the estimated cover JPEG image to compute the r
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Thai, Thanh Hai, Remi Cogranne, and Florent Retraint. "Statistical Model of Quantized DCT Coefficients: Application in the Steganalysis of Jsteg Algorithm." IEEE Transactions on Image Processing 23, no. 5 (2014): 1980–93. http://dx.doi.org/10.1109/tip.2014.2310126.

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Ye, Xue Yi, Guo Peng Lu, Wei Fang Zhou, and Yun Lu Wang. "A JPEG Steganographic Method Based on Syndrome-Trellis Codes with Wetness-Scale." Applied Mechanics and Materials 263-266 (December 2012): 2990–94. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2990.

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Aiming at the JSTC’s shortcomings, we present an improved JPEG Steganographic method using Syndrome-Trellis Codes with Wetness-Scale in this paper. Firstly, the proposed method excludes the DC coefficients from usable coefficients for information embedding; secondly, when using Syndrome-Trellis Codes to modulate the message bits, it assigns each individual cover element with a special changing cost value provided by our predefined embedding impact model (i.e. wetness-scale), and endeavors to constrain the embedding changes to the low-frequency and middle-frequency DCT coefficients and minimize
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SALLEE, PHIL. "MODEL-BASED METHODS FOR STEGANOGRAPHY AND STEGANALYSIS." International Journal of Image and Graphics 05, no. 01 (2005): 167–89. http://dx.doi.org/10.1142/s0219467805001719.

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This paper presents methods for performing steganography and steganalysis using a statistical model of the cover medium. The methodology is general, and can be applied to virtually any type of media. It provides answers for some fundamental questions that have not been fully addressed by previous steganographic methods, such as how large a message can be hidden without risking detection by certain statistical methods, and how to achieve this maximum capacity. Current steganographic methods have been shown to be insecure against simple statistical attacks. Using the model-based methodology, an
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Mohammad, Sameer Aloun, Suzuri Hitam Muhammad, NuralJawahir Hj Wan Yussof Wan, Aziz K. Abdul Hamid Abdul, and Bachok Zainuddin. "Modified JSEG algorithm for reducing over-segmentation problems in underwater coral reef images." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 5244–52. https://doi.org/10.11591/ijece.v9i6.pp5244-5252.

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The original JSEG algorithm has proved to be very useful and robust in variety of image segmentation case studies. However, when it is applied into the underwater coral reef images, the original JSEG algorithm produces over-segementation problem, thus making this algorithm futile in such a situation. In this paper, an approach to reduce the over-segmentation problem occurred in the underwater coral reef image segmentation is presented. The approach works by replacing the color histogram computation in region merge stage of the original JSEG algorithm with the new computation of color and textu
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Aloun, Mohammad Sameer, Muhammad Suzuri Hitam, Wan NuralJawahir Hj Wan Yussof, Abdul Aziz K. Abdul Hamid, and Zainuddin Bachok. "Modified JSEG algorithm for reducing over-segmentation problems in underwater coral reef images." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 5244. http://dx.doi.org/10.11591/ijece.v9i6.pp5244-5252.

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<p>The original JSEG algorithm has proved to be very useful and robust in variety of image segmentation case studies.However, when it is applied into the underwater coral reef images, the original JSEG algorithm produces over-segementation problem, thus making this algorithm futile in such a situation. In this paper, an approach to reduce the over-segmentation problem occurred in the underwater coral reef image segmentation is presented. The approach works by replacing the color histogram computation in region merge stage of the original JSEG algorithm with the new computation of color a
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Singh, A., B. S. Saini, and D. Singh. "Multiscale Joint Symbolic Transfer Entropy for Quantification of Causal Interactions Between Heart Rate and Blood Pressure Variability Under Postural Stress." Fluctuation and Noise Letters 14, no. 03 (2015): 1550031. http://dx.doi.org/10.1142/s0219477515500315.

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In this paper, joint symbolic transfer entropy (JSTE) is explored to quantify causal interactions between systolic blood pressure (SBP) and RR intervals (peak-to-peak distance between consecutive R-peaks) at multiple time scales. SBP→RR coupling (C s-r ) and RR→SBP coupling (C r-s ) coupling is analyzed at multiple time scales and delays. The ability of the approach based on JSTE to detect SBP–RR causal coupling is tested on 42 healthy subjects in supine and upright position along with 21 subjects of EUROBAVAR dataset. In addition, lack of causal coupling from SBP to RR was assessed on 20 post
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Liu, Hong, Haijun Wei, Lidui Wei, Jingming Li, and Zhiyuan Yang. "The Segmentation of Wear Particles Images UsingJ-Segmentation Algorithm." Advances in Tribology 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/4931502.

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This study aims to use a JSEG algorithm to segment the wear particle’s image. Wear particles provide detailed information about the wear processes taking place between mechanical components. Autosegmentation of their images is key to intelligent classification system. This study examined whether this algorithm can be used in particles’ image segmentation. Different scales have been tested. Compared with traditional thresholding along with edge detector, the JSEG algorithm showed promising result. It offers a relatively higher accuracy and can be used on color image instead of gray image with l
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Dissertations / Theses on the topic "Jsteg"

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Schweda, Natalie [Verfasser]. "Umstrukturierungen und Organschaft : Ertragsteuerliche Auswirkungen unter besonderer Berücksichtigung des SEStEG und JStG 2008 / Natalie Schweda." Baden-Baden : Nomos Verlagsgesellschaft mbH & Co. KG, 2012. http://d-nb.info/1110058845/34.

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Cavani, Felipe Alves. "Análise de cenas de pomares de laranjeiras através de segmentação de imagens e reconhecimento de padrões." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/18/18145/tde-17012011-123819/.

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Os sistemas automáticos são normalmente empregados na indústria com o objetivo de otimizar a produção. Na agro-indústria, estes sistemas são usados com o mesmo propósito, sendo que dentre estes sistemas é possível destacar os que empregam a visão computacional, pois esta tem sido usada para inspeção de lavouras, colheita mecanizada, guiagem de veículos e robôs entre outras aplicações. No presente trabalho, técnicas de visão computacional foram utilizadas para segmentar e classificar elementos presentes em imagens obtidas de pomares de laranjeiras. Uma arquitetura modular foi utilizada na qual
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Palenker, Delia Maria [Verfasser]. "Die Bindung der gesonderten Verlustfeststellung an den Einkommensteuerbescheid : Eine Rechtsprechungsanalyse zu § 10d Abs. 4 EStG vor und nach Inkrafttreten des JStG 2010 und ihre Folgen für den Rechtsschutz / Delia Maria Palenker." Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2020. http://d-nb.info/1206078553/34.

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Soukupová, Monika. ""Jste-li Kristovi, jste potomstvo Abrahamovo" Etnografie českého mesiánsko-židovského společenství." Master's thesis, 2018. http://www.nusl.cz/ntk/nusl-372933.

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This thesis deals with some aspects of the religiosity of the members of the Czech community, who claim to be a part of a Messianic Judaism movement. The text is based on the field research I did within the congregation. In the introduction, I attempt to present definitions of this type of religiosity, describe the historical development of the movement, make connection to evangelical religiosity, outline its basic pillars, clarify the role of non-Jewish believers in this movement, and ultimately outline possible forms of worship. Next, I describe my journey into the field, the development of
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Viktorinová, Michaela. "Co jste se dnes učili ve výtvarné výchově?" Master's thesis, 2018. http://www.nusl.cz/ntk/nusl-379316.

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The case study analyses the art education content of selected teachers through the school year in context of actual curriculum. The lesson plans are going to be compared with the actual realizations of students, with respect to the expected (art) competencies of themselves. How do the teachers deal with the curriculum and content in art education? The thesis explores that question per interviews with the teachers, document analyses and gathered reflections. It examines the way of dealing with pedagogical content, its transformation into concrete tasks, teacher's reflection and appreciation of
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MARTINOVSKÁ, Soňa. ""Buďtež prokleti vy všichni, kdož jste toho původci". Léta 1870-1950 pohledem kroniky Václava Koppa." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-174520.

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The diploma thesis aims on introducing the "Chronicle of the Kopp family", a personal writing found in the inheritance of Pilsen teacher Vaclav Kopp (1876-1951). The thesis also intends to integrate this work into contexts of the ego-documents research; introductory article therefore touches the matters of personal sources as a subject of a research interest. The main text of the thesis is further divided into four chapters. The first chapter presents the story of Vaclav Kopp's life and also focuses on the history of his family. The following chapter deals with the analysis of the source and i
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Chrtková, Jana. "Obezital v pojetí médií: komparativní obsahová analýza televizních pořadů Jste to, co jíte a The Biggest Loser." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-339885.

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Healthy lifestyle is a phenomenon that is inseparably connected to the current society - to people's everyday life, to habits, culture and last but not least to the media. This master thesis is focused on how media comprehend not only healthy lifestyle but also how they present individuals who do not respond to current beauty ideal - individuals suffering from overweight and obesity. First part of the thesis theoretically describes obesity as a medicinal and social problem. It shows broad spectrum of aspects connected with the diagnosis of obesity taken from medicinal view. It also points out
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Books on the topic "Jsteg"

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Rada, Karel. Kluci, kde jste? Dauphin, 2011.

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Jiří, Hubička, ed. Slyšeli jste--: Rozhlasové hry. Panorama, 1990.

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1892-1979, Kolʹman Ė. (Ėrnest), and Janouch František interviewer author, eds. Jak jste tak mohli žít?: Dialog generací. Novela bohemica, 2011.

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Switzerland. StGB: Kommentar : Schweizerisches Strafgesetzbuch mit JStG und V-StGB-MStG. Orell Füssli, 2013.

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Moulis, Miloslav. Zapomeňte, že jste byli lidmi: Nacistické koncentrační tábory - symbol barbarství. Epocha, 2005.

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Čakrt, Michal. Kdo jsem já, kdo jste vy?: Typologie osobnosti pro manažery. Management Press, 1996.

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Kaplan, Karel. Všechno jste prohráli!: Co prozrazují archivy o IV. sjezdu Svazu československých spisovatelů, 1967. I. Železný, 1997.

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Dvořák, Václav. Čím to je, že jste tak klidný?: Václav Dvořák v rozhovoru s Janem Mazancem. Karmelitánské nakladatelství, 2008.

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Switzerland. StGB: Schweizerisches Strafgesetzbuch und JStG sowie Strafbestimmungen des SVG, BetmG und AuG inkl. V-StGB-MStG, Rechtshilfekonkordat, OHG und OHV : Auszüge aus BGG, BStP, SGG sowie AT aStGB (bis Ende 2006 in Kraft gewesene Fassung). Orell Füssli, 2009.

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Douglas, Gary M., and Dain Heer. Peníze nejsou problém, vy jste. Access Consciousness Publishing Company, 2020.

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Book chapters on the topic "Jsteg"

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Wu, Mingqiao, Zhongliang Zhu, and Shiyao Jin. "A New Steganalytic Algorithm for Detecting Jsteg." In Networking and Mobile Computing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534310_112.

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Lee, Kwangsoo, Changho Jung, Sangjin Lee, HyungJun Kim, and Jongin Lim. "Applying LR Cube Analysis to JSteg Detection." In Communications and Multimedia Security. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552055_32.

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Wahab, Ainuddin Wahid Abdul, Johann A. Briffa, and Hans Georg Schaathun. "On the Performance of Wavelet Decomposition Steganalysis with JSteg Steganography." In Digital Watermarking. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04438-0_29.

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Zheng, Yuanjie, Jie Yang, and Yue Zhou. "Unsupervised Segmentation on Image with JSEG Using Soft Class Map." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28651-6_29.

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Wang, Yonggang, Yue Zhou, Jie Yang, and Yiqin Wang. "JSEG Based Color Separation of Tongue Image in Traditional Chinese Medicine." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30463-0_63.

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Förster, Guido, and Dirk Schmidtmann. "Umwandlungshindernis Hinzurechnungsbesteuerung? — Verbleibende Anwendungsfälle und Zweifelsfragen der Hinzurechnungsbesteuerung bei Umwandlungen nach SEStEG, Cadbury Schweppes und JStG 2008." In Deutsches und internationales Steuerrecht. Gabler, 2008. http://dx.doi.org/10.1007/978-3-8349-8030-4_3.

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Cassio, Luciano, Mario Luiz, and Arthur Jose Vieira Porto. "JSEG Algorithm and Statistical ANN Image Segmentation Techniques for Natural Scenes." In Image Segmentation. InTech, 2011. http://dx.doi.org/10.5772/14622.

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"23. BMF-Schreiben vom 30. Januar 2008 – Gesetz zur Neuordnung der einkommensteuerrechtlichen Behandlung von Altersvorsorgeaufwendungen und Altersbezügen – Alterseinkünftegesetz (AltEinkG) mit Änderungen durch die Jahressteuergesetze 2007 und 2008 (JStG 2007/JStG 2008);." In Recht der Altersvorsorge, edited by Thorsten Rüffert and Hans-Peter Schwintowski. Nomos Verlagsgesellschaft mbH & Co KG, 2008. http://dx.doi.org/10.5771/9783845211732-390.

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Conference papers on the topic "Jsteg"

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Dias, Jeferson de Souza, Lucas Ximenes Boa Sorte, Francisco Fambrini, and Jose Hiroki Saito. "Coffee plant disease detection using JSEG segmentation and near sets clustering." In 2024 The 5th Symposium on Pattern Recognition and Applications, edited by Xiaodan Pang. SPIE, 2025. https://doi.org/10.1117/12.3056434.

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Qiao, Tong, Cathel Zitzmann, Florent Retraint, and Remi Cogranne. "Statistical detection of Jsteg steganography using hypothesis testing theory." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7026116.

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Zhang, Tao, and Xijian Ping. "A fast and effective steganalytic technique against JSteg-like algorithms." In the 2003 ACM symposium. ACM Press, 2003. http://dx.doi.org/10.1145/952532.952595.

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Zhang, Qian, Yuan Liu, Shijie Zhang, and Ke Chen. "Classification Method of Jsteg Stego-Images and F5 Stego-Image." In 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC). IEEE, 2009. http://dx.doi.org/10.1109/icicic.2009.138.

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Xiaoyi Yu, Yunhong Wang, and Tieniu Tan. "On estimation of secret message length in JSteg-like steganography." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1333862.

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Geetha, S., Siva S. Sivatha Sindhu, and N. Kamaraj. "Evolving GA Classifier for Breaking the Steganographic Utilities: Stools, Steganos and Jsteg." In International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007). IEEE, 2007. http://dx.doi.org/10.1109/iccima.2007.310.

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Thai, Thanh Hai, Remi Cogranne, and Florent Retraint. "Steganalysis of Jsteg algorithm based on a novel statistical model of quantized DCT coefficients." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738912.

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Sun, Yanfei, Mengyuan Yu, and Junyu Wang. "Research and Development of QR Code Steganography Based on JSteg Algorithm in DCT Domain." In 2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT). IEEE, 2020. http://dx.doi.org/10.1109/icsict49897.2020.9278285.

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Qiao, Tong, Cathel Ziitmann, Rémi Cogranne, and Florent Retraint. "Detection of JSteg algorithm using hypothesis testing theory and a statistical model with nuisance parameters." In the 2nd ACM workshop. ACM Press, 2014. http://dx.doi.org/10.1145/2600918.2600932.

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Komati, Karin S., Evandro O. T. Salles, and Mario Sarcinelli Filho. "Fractal-JSEG: JSEG Using an Homogeneity Measurement Based on Local Fractal Descriptor." In 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI). IEEE, 2009. http://dx.doi.org/10.1109/sibgrapi.2009.22.

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