Relevant bibliographies by topics / Otsu's Threshold based method

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

Academic literature on the topic 'Otsu's Threshold based method'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Otsu's Threshold based method"

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Phyu, Myo Thwe, Ni Kyaw Nwe, and Kyaw Naing Kyaw. "Hand Region Detection using CbCr Color Space and Otsu's Method." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 1568–71. https://doi.org/10.5281/zenodo.3591061.

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Hand Segmentation is the most important steps for hand gesture recognition. If the correctly detect the hand, the hand gesture recognition accuracy will increase. In our research, we used two different threshold based segmentation methods to detect the hand in various background conditions simplex and complex and various illumination conditions and compare the accuracy. The main objective of this paper is to investigate the best threshold values of CbCr threshold based method on the performance of hand segmentation process. The proposed system used the CbCr color threshold based method with va
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YAN, YA-BO, WEI QI, TIAN-XIA QIU, EE-CHON TEO, and WEI LEI. "THE EFFECT OF THRESHOLD VALUE ON THE ARCHITECTURAL PARAMETERS AND STIFFNESS OF HUMAN CANCELLOUS BONE IN MICRO CT ANALYSIS." Journal of Mechanics in Medicine and Biology 12, no. 05 (2012): 1250092. http://dx.doi.org/10.1142/s0219519412500923.

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In this study, the effects of threshold variation in image segmentation of micro CT images of cancellous bone in the determination of the architectural parameters and stiffness were investigated. A total of 42 samples of 6 × 6 × 6 mm3 cubes with threshold values set between 500–1100 greyscale in increment of 100 of CT images of six human C5 vertebral bodies were analyzed. Threshold value of 800, based on Otsu's method, was set for the control group. From various threshold values, the respective architectural parameters, and the corresponding stiffness in three orthotropic directions (Exx, Eyy,
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Li, Hong, Zhong An Lai, and Jun Wei Lei. "Image Threshold Segmentation Algorithm Based on Histogram Statistical Property." Applied Mechanics and Materials 644-650 (September 2014): 4027–30. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4027.

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The traditional Otsu threshold algorithm is not a good method for processing the real images because of complex shape and unbalanced distribution. To solve this problem, the paper uses the thinking of Otsu’s method for reference, introduces a threshold segmentation algorithm based on histogram statistical property. In addition, the paper draws a comparison between the new algorithm and Otsu’s algorithm. Experimental results show that the new algorithm can get better segmentation effect than that of Otsu’s method when the gray-level distribution of the background follows normal distribution app
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He, Li Fang, Xiong Tong, and Song Wei Huang. "Mineral Belt Image Segmentation Using Firefly Algorithm." Advanced Materials Research 989-994 (July 2014): 4074–77. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4074.

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Otsu is one of better image segmentation algorithm, which obtains optimum threshold by maximizing the between-class variance of an image. However, computation time will sharply increase as the threshold increase. In order to greatly improve the problem, a new segmentation algorithm called firefly algorithm based on Otsu’s method is presented in this paper, and applied the algorithm to segmentation of mineral belt image of shaking table, which lay the foundation for automation of shaking table. Experimental results show that the new algorithm can accurately segment different mineral belts and c
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Sheng, Dong-Bo, Sang-Bong Kim, Trong-Hai Nguyen, Dae-Hwan Kim, Tian-Shui Gao, and Hak-Kyeong Kim. "Fish Injured Rate Measurement Using Color Image Segmentation Method Based on K-Means Clustering Algorithm and Otsu's Threshold Algorithm." Journal of the Korea Society For Power System Engineering 20, no. 4 (2016): 32–37. http://dx.doi.org/10.9726/kspse.2016.20.4.032.

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Khairuzzaman, Abdul Kayom Md, and Saurabh Chaudhury. "Moth-Flame Optimization Algorithm Based Multilevel Thresholding for Image Segmentation." International Journal of Applied Metaheuristic Computing 8, no. 4 (2017): 58–83. http://dx.doi.org/10.4018/ijamc.2017100104.

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Multilevel thresholding is a popular image segmentation technique. However, computational complexity of multilevel thresholding increases very rapidly with increasing number of thresholds. Metaheuristic algorithms are applied to reduce computational complexity of multilevel thresholding. A new method of multilevel thresholding based on Moth-Flame Optimization (MFO) algorithm is proposed in this paper. The goodness of the thresholds is evaluated using Kapur's entropy or Otsu's between class variance function. The proposed method is tested on a set of benchmark test images and the performance is
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Naikal1, Ms Priyanka Lalasaheb. "Smart Agriculture: Utilizing Image Processing for Real-Time Crop Disease Monitoring." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem36145.

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The K-Means clustering technique is a widely recognized method for low-level image segmentation challenges, converging iteratively to refine partitioning decisions based on an initial user-specified cluster set that updates with each iteration. Initially, our approach identifies predominantly green-colored pixels in the image, which are then masked based on threshold values computed using Otsu's method. Subsequent masking eliminates any remaining predominantly green pixels. Additionally, pixels with zero values for red, green, and blue channels, as well as those along the boundaries of the inf
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Barysenka, Andrei, Andreas W. M. Dress, and Walter Schubert. "A Comparative Method for Analysing Toponome Image Stacks." East Asian Journal on Applied Mathematics 1, no. 1 (2011): 35–48. http://dx.doi.org/10.4208/eajam.280909.270410a.

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AbstractWe present a technique to find threshold values that allows the user to separate signal from noise in fluorescence grey-level images. It can be classified as a purely comparative method based upon the amount of “Mutual Information” between two or more florescence images, and we apply it to stacks of such images produced using the newly-developed MELK technology. Our results are compared to results obtained by another research group using a quite different (completely independent and more technology-based) approach; and also to results obtained using Otsu's Thresholding Method, yet anot
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Brahmaiah, Naik J., B. Rajasree, Panchakshari P. Durga, V. Sai, G. Sunny, and J. Raghavendra. "Multilevel thresholding image segmentation using mixed strategy improved convergence based whale optimization algorithm." i-manager’s Journal on Electronics Engineering 15, no. 2 (2025): 1. https://doi.org/10.26634/jele.15.2.21575.

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This paper presents a novel multilevel image segmentation method that leverages an enhanced Whale Optimization Algorithm (WOA). While WOA has shown promise in solving various optimization problems, its performance can be limited by susceptibility to local optima. To address this challenge, a Mixed-Strategy Improved Convergence WOA (MSICWOA) is proposed, which enhances the algorithm's optimization efficiency by incorporating a nonlinear convergence factor, an adaptive weight coefficient, and a k-point initialization technique. The MSICWOA is then applied alongside Otsu's crossvariance and Kapur
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Wang, Yan Qing, Lu Lu Zhuang, and Chao Xia Shi. "Construction Research on Multi-Threshold Segmentation Based on Improved Otsu Threshold Method." Advanced Materials Research 1046 (October 2014): 425–28. http://dx.doi.org/10.4028/www.scientific.net/amr.1046.425.

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The aim of unstructured road detection is the recognition of road region and the tracking of road boundary. An improved Otsu threshold method available in double-threshold segmentation was proposed in this paper to resolve the multi-peaks problem in both complicated background and target. This method remedies the mis-segmentation of Otsu threshold method caused by huge diversity of between-class variances and refines the segmentation precision by matching the proposed Otsu edges with the weighted Canny edges. According to the irregular characteristics of the unstructured road and the requireme
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Dissertations / Theses on the topic "Otsu's Threshold based method"

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Baselt, Tobias, Christopher Taudt, Bryan Nelsen, Andrés Fabián Lasagni, and Peter Hartmann. "Development of a method to overcome the power threshold during supercontinuum generation based on an Yb-doped photonic crystal fiber." SPIE, 2017. https://tud.qucosa.de/id/qucosa%3A35385.

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Optical coherence tomography benefits from the high brightness and bandwidth, as well as the spatial coherence of supercontinuum (SC) sources. The increase of spectral power density (SPD) over conventional light sources leads to shorter measuring times and higher resolutions. For some applications, only a portion of the broad spectral range can be used. Therefore, an increase of the SPD in specific limited spectral regions would provide a clear advantage over spectral filtering. This study describes a method to increase the SPD of SC sources by amplifying the excitation wavelength inside of a
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Plinke, Burkhard. "Größenanalyse an nicht separierten Holzpartikeln mit regionenbildenden Algorithmen am Beispiel von OSB-Strands." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-98518.

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Bei strukturorientierten, aus relativ großen Holzpartikeln aufgebauten Holzwerkstoffen wie z.B. OSB (oriented strand board) addieren sich die gerichteten Festigkeiten der einzelnen Lagen je nach Orientierung der Partikel und der Verteilung ihrer Größenparameter. Wünschenswert wäre eine Messung der Partikelgeometrie und Orientierung möglichst im Prozess, z.B. am Formstrang vor der Presse direkt durch den „Blick auf das Vlies“. Bisher sind regelmäßige on-line-Messungen der Spangeometrie aber nicht möglich, und Einzelspanmessungen werden nicht vorgenommen, weil sie zu aufwändig wären. Um die Part
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Chou, Chin-Yuan, and 周金垣. "Sparse Channel Estimation in OFDM systems Using the threshold-based Regularized LS method." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/8xg8vh.

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碩士<br>國立中興大學<br>通訊工程研究所<br>106<br>Due to the reflection, scattering, and diffraction of the EM wave, the wireless channels have the frequency selective and time varying property. Adaptive modulation is a good approach in solving the problem, thus I apply the adaptive modulation onto the OFDM system. Channel state information is an important thing of OFDM systems. However, impact in the environment of fast fading have to send more number of pilot symbols for receiving the transmitted signal in the actual communication environment; the receiver must know the channel state information to estimate
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Wu, Feng-Jou, and 吳豐州. "An Adaptive Color Threshold Based Method for Multiple Resolution Surveillance in Wireless Sensor Networks." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/50527284379533481803.

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碩士<br>國立中正大學<br>電機工程所<br>95<br>Among energy saving researches in wireless sensor networks, clustering sensors into groups is a popular strategy to save energy and bandwidth because clustering enables cluster heads to act as intelligent aggregators to correlate all sensed data and forward the summative information, such as LEACH [1]. A well known threshold-based aggregation, Threshold sensitive Energy Efficient sensor Network protocol (TEEN) [2] applies fixed hard and soft thresholds to suppress redundant transmission to prolong network lifetime. Without adjustable and adaptive threshold-settin
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Pai, Yu-Tzu, and 白郁慈. "The Impact of Threshold-based Free Shipping Method, Product Discount, Promotional Framing and Promotion Type on Consumers’ Online Purchase Behavior." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/67336882965926673790.

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碩士<br>國立中興大學<br>行銷學系所<br>103<br>Online stores often employ threshold-based free shipping strategy to attract consumers. For example, the famous brand, Tokichoi offers “Buy NT$399, free shipping” and Orange Bear provides “Buy NT$800, free shipping”. Threshold-based free shipping method is when customers’ purchase quantity reaches or exceeds a minimum quantity required by retailers; consumers will be offered free shipping service. When employing threshold-based free shipping method, retailers will set different threshold levels based on their capability. Some of the stores decide to use high lev
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Books on the topic "Otsu's Threshold based method"

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Roach, Rebecca. Coda. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825418.003.0009.

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This coda looks to the future of the interview. With the advent of so-called Web 2.0 the threshold of public and private is radically shifting. For the interview, historically positioned on this boundary, the possibilities are manifold, if not yet certain. Methodologically, the long-standing dominance of interviewing within the social sciences is being called into question as web-based and social media platforms generate big data pools. The chapter discusses the import of chatbots and formats such as Reddit’s AMA for the interview’s future. It speculates that as the interview method becomes le
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Wright, A. G. Measurement of low light flux. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.003.0007.

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There are three experimental methods for quantifying the flux of light incident on a photocathode: counting the anode output pulses initiated by photoelectrons—known as photon counting; measuring the DC current flowing at the anode—referred to as analogue detection, or charge integration; and determining the rms noise in the anode current—known as shot noise power detection. The statistical performances of the three methods, based on weighting factors, are compared, revealing the theoretical superiority of the photon-counting method. Optimal time allocation between signal and background measur
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Gajewski, Zbigniew. Prognozowanie wystąpień faz fenologicznych pierwiosnki omączonej Primula farinosa L. (Primulaceae) – krytycznie zagrożonego gatunku - w odniesieniu do fenologii innych składników lokalnej flory i panujących warunków termicznych. Publishing House of the University of Agriculture in Krakow, 2018. http://dx.doi.org/10.15576/978-83-66602-32-8.

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In Poland, the bird’s-eye primrose (P. farinosa) is a rare and critically endangered species. Currently, it occurs only in one location in the area of the Jaworki village in Radziejowa Range (of Beskid Sądecki mountains). This is the last of the nine previously existing locations, and the only one occurring in the mountains. To maintain the species, as well as the moutain fen on which it grows, a multiannual conservation program has been implemented, including, among other measures, conducting environmental monitoring and performing active protection procedures. In 2012–2014, studies were carr
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Book chapters on the topic "Otsu's Threshold based method"

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Zhang, Yue, Hong Yan, Xiaofu Zou, Fei Tao, and Lin Zhang. "Image Threshold Processing Based on Simulated Annealing and OTSU Method." In Proceedings of the 2015 Chinese Intelligent Systems Conference. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48386-2_24.

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Shuaishi, Liu, Zhou Siyu, Bai Rong, and Zhu Jiaqi. "Research on Weld Recognition and NURBS Curve Fitting Method Based on Improved OTSU Double Threshold Segmentation." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8430-2_29.

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Jiang, Xiangang, and Yunli Qiu. "An Extraction Method of Cerebral Vessels Based on Multi-Threshold Otsu Classification and Hessian Matrix Enhancement Filtering." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7618-0_336.

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Karabat, Cagatay. "Adaptive Threshold Based Robust Watermark Detection Method." In Digital Watermarking. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04438-0_12.

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Martinez-de Dios, J. R., and A. Ollero. "A Multiresolution Threshold Selection Method Based on Training." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30125-7_12.

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Miguel-Escrig, Oscar. "Sampled SSOD Analysis with DF Method." In Event-Based PID Controllers with Fixed Threshold Sampling Strategies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62505-3_5.

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Çakir, Ömer, Fatih Çakir, and Oğuzhan Çakir. "Variable Threshold Based Cutting Method for Virtual Surgery Simulations." In Computer and Information Sciences II. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2155-8_57.

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Miguel-Escrig, Oscar. "RQH Sampling Strategy Analysis with DF Method." In Event-Based PID Controllers with Fixed Threshold Sampling Strategies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62505-3_2.

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Xue, Jingjing, Xingshi He, Xinshe Yang, Xiaoying Hao, and Feiyue He. "Multi-threshold Image Segmentation Method Based on Flower Pollination Algorithm." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7179-9_4.

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Bin, Yu, and Chen Shichao. "Term Extraction Method Based on Mutual Information with Threshold Interval." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23226-8_25.

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Conference papers on the topic "Otsu's Threshold based method"

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Chen, Guobin, Qing Liu, and Bingo Wing-Kuen Ling. "EEG Denoising Attention Classification Method Based on SVMD Coupled with Otsu's Method Improved Fluctuation Discrete Entropy Threshold." In 2024 IEEE Consumer Life Tech (ICLT). IEEE, 2024. https://doi.org/10.1109/iclt63507.2024.11038708.

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Chen, Yong, Caixia Wang, and Haibing Fang. "Feature Extraction Algorithm Based on Otsu's Method and Hybrid Hierarchical Grid-Quadtree Partitioning." In 2025 IEEE 5th International Conference on Electronic Technology, Communication and Information (ICETCI). IEEE, 2025. https://doi.org/10.1109/icetci64844.2025.11084144.

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Li, Linlin, Zhengmei Zhang, Ye Liu, and Anhui Feng. "Electromagnetic Signal Denoising Method based on Improved Wavelet Threshold." In 2024 13th International Conference on Communications, Circuits and Systems (ICCCAS). IEEE, 2024. http://dx.doi.org/10.1109/icccas62034.2024.10652667.

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Liu, Wei, Ying Wang, Wentao Cui, Wei She, and Zhao Tian. "Dual-Threshold Personalized Federated Learning Method Based on Blockchain." In 2024 4th International Conference on Blockchain Technology and Information Security (ICBCTIS). IEEE, 2024. https://doi.org/10.1109/icbctis64495.2024.00032.

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Wang, Yuanchun, Jiahui Zhou, Youming Guo, and Changhui Rao. "Adaptive threshold-based spectral separation method in adaptive optics." In Second International Conference on Optoelectronic Information and Optical Engineering (OIOE 2025), edited by Yang Yue, Ming Jiang, and Qingyang Wei. SPIE, 2025. https://doi.org/10.1117/12.3068589.

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Khudov, Hennadii, Temir Kalimulin, Rostyslav Khudov, Ihor Butko, Viktoriia Burtseva, and Valeriy Burtsev. "Improved Method of Segmentation of Images From Space-Based Optoelectronic Observation Systems Based on Otsu's Algorithm with Global and Adaptive Thresholds." In 2023 IEEE 4th KhPI Week on Advanced Technology (KhPIWeek). IEEE, 2023. http://dx.doi.org/10.1109/khpiweek61412.2023.10312918.

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Chen, Chen, Bo Ye, Jiande Wu, Xiaodong Wang, Weiquan Deng, and Jun Bao. "Eddy Current C-scan Image Segmentation Based on Otsu Threshold Method." In 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2019. http://dx.doi.org/10.1109/ddcls.2019.8908855.

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Li, Ke, Ling Bai, Yinguo Li, and Mingchi Feng. "Improved Otsu Multi-Threshold Image Segmentation Method based on Sailfish Optimization." In 2021 33rd Chinese Control and Decision Conference (CCDC). IEEE, 2021. http://dx.doi.org/10.1109/ccdc52312.2021.9601664.

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Tang, Zhiwei, and Yixuan Wu. "One image segmentation method based on Otsu and fuzzy theory seeking image segment threshold." In 2011 International Conference on Electronics, Communications and Control. IEEE, 2011. http://dx.doi.org/10.1109/icecc.2011.6066573.

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Zhou, Chenhang, Liwei Tian, Hongwei Zhao, and Kai Zhao. "A method of Two-Dimensional Otsu image threshold segmentation based on improved Firefly Algorithm." In 2015 IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2015. http://dx.doi.org/10.1109/cyber.2015.7288151.

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Reports on the topic "Otsu's Threshold based method"

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Pradhan, Nawa Raj. Estimating growing-season root zone soil moisture from vegetation index-based evapotranspiration fraction and soil properties in the Northwest Mountain region, USA. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42128.

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A soil moisture retrieval method is proposed, in the absence of ground-based auxiliary measurements, by deriving the soil moisture content relationship from the satellite vegetation index-based evapotranspiration fraction and soil moisture physical properties of a soil type. A temperature–vegetation dryness index threshold value is also proposed to identify water bodies and underlying saturated areas. Verification of the retrieved growing season soil moisture was performed by comparative analysis of soil moisture obtained by observed conventional in situ point measurements at the 239-km2 Reyno
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Downing, W. Logan, Howell Li, William T. Morgan, Cassandra McKee, and Darcy M. Bullock. Using Probe Data Analytics for Assessing Freeway Speed Reductions during Rain Events. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317350.

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Rain impacts roadways such as wet pavement, standing water, decreased visibility, and wind gusts and can lead to hazardous driving conditions. This study investigates the use of high fidelity Doppler data at 1 km spatial and 2-minute temporal resolution in combination with commercial probe speed data on freeways. Segment-based space-mean speeds were used and drops in speeds during rainfall events of 5.5 mm/hour or greater over a one-month period on a section of four to six-lane interstate were assessed. Speed reductions were evaluated as a time series over a 1-hour window with the rain data. T
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Miles, Gaines E., Yael Edan, F. Tom Turpin, et al. Expert Sensor for Site Specification Application of Agricultural Chemicals. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7570567.bard.

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In this work multispectral reflectance images are used in conjunction with a neural network classifier for the purpose of detecting and classifying weeds under real field conditions. Multispectral reflectance images which contained different combinations of weeds and crops were taken under actual field conditions. This multispectral reflectance information was used to develop algorithms that could segment the plants from the background as well as classify them into weeds or crops. In order to segment the plants from the background the multispectrial reflectance of plants and background were st
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Li, Howell, Tom Platte, Jijo K. Mathew, W. Benjamin Smith, Enrique Saldivar-Carranza, and Darcy M. Bullock. Using Connected Vehicle Data to Reassess Dilemma Zone Performance of Heavy Vehicles. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317321.

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The rate of fatalities at signalized intersections involving heavy vehicles is nearly five times higher than for passenger vehicles in the US. Previous studies in the US have found that heavy vehicles are twice as likely to violate a red light compared with passenger vehicles. Current technologies leverage setback detection to extend green time for a particular phase and are based upon typical deceleration rates for passenger cars. Furthermore, dilemma zone detectors are not effective when the max out time expires and forces the onset of yellow. This study proposes the use of connected vehicle
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Mojidra, Rushil, and Keri Ryan. Influence of Vertical Ground Motion on Bridges Isolated with Spherical Sliding Bearings. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2019. http://dx.doi.org/10.55461/rynq3624.

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The motivation for this project developed from testing of a full scale building isolated with triple friction pendulum bearings on the E-defense shake table in Japan. The test demonstrated experimentally that the vertical component of ground motion can amplify both the base shear and the story acceleration in the isolated building. Vertical shaking introduced high-frequency variation in the axial force of the bearings, and, consequently, a high-frequency component in the bearing lateral force, which excited higher structural modes in the building. Since vertical bridges are flexible in the ver
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Burns, Malcom, and Gavin Nixon. Literature review on analytical methods for the detection of precision bred products. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.ney927.

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The Genetic Technology (Precision Breeding) Act (England) aims to develop a science-based process for the regulation and authorisation of precision bred organisms (PBOs). PBOs are created by genetic technologies but exhibit changes which could have occurred through traditional processes. This current review, commissioned by the Food Standards Agency (FSA), aims to clarify existing terminologies, explore viable methods for the detection, identification, and quantification of products of precision breeding techniques, address and identify potential solutions to the analytical challenges presente
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