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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems III"
14633 条 记 录,以下是191-200 订阅
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A Review on Satellite image Segmentation Using Metaheuristic Optimization Techniques  1
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5th International conference on Advances in Distributed Computing and Machine Learning, ICADCML 2024
作者: Bandikolla, Lakshmi Md Khairuzzaman, Abdul Kayom School of Electronics Engineering VIT-AP University Amaravati Andhra Pradesh Vijayawada522237 India
image segmentation is essential in digital image processing applications. Multilevel thresholding is a popular technique for image segmentation. An image can be divide into multiple classes. In this paper, the image q... 详细信息
来源: 评论
On image processing and Pattern Recognition for Thermograms of Watermarks in Manuscripts - A First Proof-of-Concept  18th
On Image Processing and Pattern Recognition for Thermograms ...
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18th International conference on Document Analysis and Recognition (ICDAR)
作者: Hauser, Dominik Beckmann, Matthias Koliander, Gunther Stiehl, H. Siegfried Univ Hamburg Dept Informat Hamburg Germany Univ Bremen Ctr Ind Math Bremen Germany Imperial Coll London Dept Elect & Elect Engn London England Austrian Acad Sci Acoust Res Inst Viennna Austria
Watermarks in historical manuscripts are figural shapes serving as tokens for provenance research (e.g. scribe identification, dating, papermill attribution, scribe-papermaker relation, trading, etc.) in Humanities su... 详细信息
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Automated Defect Detection and Segregation in Dyed Fabrics Using image processing Techniques  5
Automated Defect Detection and Segregation in Dyed Fabrics U...
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5th International conference on Electronics and Sustainable Communication systems, ICESC 2024
作者: Prabha, K.R. Aathavan, V. Harshit, K. Indhumathi, K. Sri Ramakrishna Engineering College Department of Ece Coimbatore India
This study addresses the critical need for efficient quality control in textile manufacturing, aiming to enhance the production of high-quality fabric to meet consumer demands and industry benchmarks. Despite the meti... 详细信息
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Invisible image Watermarks Are Provably Removable Using Generative AI  38
Invisible Image Watermarks Are Provably Removable Using Gene...
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38th conference on Neural Information processing systems, NeurIPS 2024
作者: Zhao, Xuandong Zhang, Kexun Su, Zihao Vasan, Saastha Grishchenko, Ilya Kruegel, Christopher Vigna, Giovanni Wang, Yu-Xiang Li, Lei UC Berkeley United States Carnegie Mellon University United States UC Santa Barbara United States UC San Diego United States
Invisible watermarks safeguard images' copyrights by embedding hidden messages only detectable by owners. They also prevent people from misusing images, especially those generated by AI models. We propose a family...
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Improving Robustness of Satellite image processing Using Principal Component Analysis for Explainability
Improving Robustness of Satellite Image Processing Using Pri...
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19th International conference on Software Technologies, ICSOFT 2024
作者: Witteck, Ulrike Stambke, Jan Grießbach, Denis Herber, Paula Berlin-Adlershof Germany Embedded Systems Group University of Munster Germany
Finding test-cases that cause mission-critical behavior is crucial to increase the robustness of satellite on-board image processing. Using genetic algorithms, we are able to automatically search for test cases that p... 详细信息
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Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language processing  45th
Building Safe and Reliable AI Systems for Safety Critical Ta...
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45th European conference on Information Retrieval (ECIR)
作者: Ao, Shuang Open Univ Walton Hall Milton Keynes MK7 6AA Bucks England
Although AI systems have been applied in various fields and achieved impressive performance, their safety and reliability are still a big concern. This is especially important for safety-critical tasks. One shared cha... 详细信息
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Human-in-the-Loop (HITL) Augmented Growing Neural Gas for Labeling Aerial image Datasets
Human-in-the-Loop (HITL) Augmented Growing Neural Gas for La...
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IEEE International conference on Fuzzy systems (FUZZ-IEEE)
作者: Schulz, Jeffrey Anderson, Derek T. Keller, James M. Scott, Grant Luke, Robert H., iii Univ Missouri Elect Engn & Comp Sci EECS Dept Columbia MO 65201 USA US Army DEVCOM Ctr Ft Belvoir VA USA
There is a severe demand for, and shortage of, large accurately labeled datasets to train supervised computational intelligence (CI) algorithms in domains like unmanned aerial systems (UAS) and autonomous vehicles. Th... 详细信息
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Automated Dengue Recognition and Analysis through image processing and Machine Learning  2
Automated Dengue Recognition and Analysis through Image Proc...
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2nd IEEE International conference on Integrated Circuits and Communication systems, ICICACS 2024
作者: Patil, Preethi N Usha, J. Dharani, Andhe RV College of Engineering Department of MCA Bangalore India
Detecting dengue fever using image processing techniques typically involves the analysis of medical images such as blood smears or tissue samples. Dengue is a viral disease transmitted by Aedes mosquitoes, and its dia... 详细信息
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Patch based image processing for complex environment characterization  6
Patch based image processing for complex environment charact...
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6th IEEE International conference on image processing, Applications and systems, IPAS 2025
作者: Menier, Corentin Meurie, Cyril Guillemaille, Timothee Ruichek, Yassine Marais, Juliette Univ Gustave Eiffel COSYS-LEOST Villeneuve d'AscqF-59650 France UTBM BelfortF-90010 France
Environment analysis is a critical part of autonomous vehicle for transport applications and for passenger safety. The solutions demonstrating the greatest robustness have been integrating multiple sensors used for re... 详细信息
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Analysis of Decision Tree and Random Forest algorithms for Nutrient Deficiency Classification in Citrus Leaves through image processing  17
Analysis of Decision Tree and Random Forest Algorithms for N...
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17th International conference on Telecommunication systems, Services, and Applications, TSSA 2023
作者: Kamelia, Lia Nurmalasari, Rin Rin UIN Sunan Gunung Djati Bandung Electrical Engineering Department Bandung Indonesia
The research presents a hybrid approach to identify and categorise nutritional deficiency syndrome in citrus leaves using image processing and machine learning. The method includes processing images, segmenting images... 详细信息
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