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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VI"

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Modelling and Simulation Framework for ATR Design Evaluation 19

Modelling and Simulation Framework for ATR Design Evaluation

引用

conference on Electro-Optical and Infrared systems - Technology and Applications XIX

作者： Hickman, Duncan L. Koh, Eunjin Lee, Jaekyu Yoo, Hyunjung Baek, Jeonghyun Tektonex Ltd Argyll Rd Kilcreggan Argyll & Bute England Agcy Def Dev 160 Bugyuseong Dero 488beon Gil Daejeon South Korea

ISBN: (纸本)9781510655461

Automatic Target Recognition (ATR) and target tracking are fundamental functions in many military systems and so have a significant impact on a sensor system's performance. In response to the demand for increased capability, ATR designs have evolved from relatively simple filters to increasingly complex algorithms, using techniques such as artificial intelligence. Assessing the performance of image processing algorithms is a significant challenge, particularly with their increased design complexity. Increasing the complexity of a processing design tends to result in greater sensitivity to variations in scene conditions, rendering the system performance more nuanced with respect to the image content. There is a need to develop modelling and simulation design tools that better reflect the impact of image processing on the overall system performance when subjected to a wide variation in input scene and sensor platform characteristics. In this paper, the development and design of the System Performance Model (SPM) is described which provides the modelling and simulation of different image processing algorithms such as ATR. The approach taken within the SPM is to use real imagery and convert this to imagery that would be generated by the modelled camera. This process, which is described in the paper, is critical to the design of the SPM and underpins its effectiveness and accuracy. Example results are given that illustrate the design of the SPM's image conversion process.

关键词： Infrared Sensor Modelling image Simulation image Flow Models Statistical Models Infrared Camera Performance ATR Trials imagery image Restoration image Conversion image Metrics

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Efficiency Evaluation of Noise Based Camera Measurements algorithms

Efficiency Evaluation of Noise Based Camera Measurements Alg...

引用

2023 systems of Signals Generating and processing in the Field of on Board Communications, SOSG 2023

作者： Egorov, Dmitry Egorova, Anastasia Potashnikov, Aleksey Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (纸本)9798350397727

Nowadays digital cameras are being used in many practical applications. Therefore, problem of parameter estimation and quality evaluation becoming more and more significant. Recently computational photography trend become more notable and many devices started to use advanced algorithms to mask out weak characteristics of hardware. This makes traditional deterministic approaches of measurement less relevant. But random methods used these days have limitations too. This article compares measurement approaches and highlights limitation of each case and brings recommendation for measuring process creating foundation for future measuring method development. © 2023 IEEE.

关键词： image resolution

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Effectiveness of image processing and Different Machine Learning Models in Classifying Local Soybean Varieties in the Philippines 12

Effectiveness of Image Processing and Different Machine Lear...

引用

12th IEEE conference on systems, Process and Control, ICSPC 2024

作者： Dioses, Isaac Angelo M. Salum, Romero Dante Nayga, Desiray Asuncion, Mark Joseph Dioses, Jesusimo L. Castillo, Wendell M. MAPUA University School of Information Technology Makati Campus Metro Manila Makati Philippines Isabela State University College of Computing Studies Information and Communication Technology San Fabian Echague Isabela Philippines

ISBN: (纸本)9798350391398

Deceptive providers offering inferior products threaten the integrity of soybean exportation and product quality. To uphold fair trade standards and protect consumer rights, it is essential to classify and trace different soybean varieties accurately. Implementing stringent legislation and reliable technology for crop origin identification is crucial in maintaining order in the soybean trading market. This study uses artificial intelligence, specifically machine learning, image processing, and computer vision, to develop a standard model for soybean classification. Researchers collected two bags of soybeans from CVRC Cagayan at Ilagan Isabela, resulting in a dataset of 1562 soybean images, with 810 images of PSB SY2 and 752 images of CL1 Soy. The study employed Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) algorithms to create models for classifying and predicting soybean varieties. The SVM model achieved an accuracy of 88.2%, while the KNN model, using the FINE KNN preset, outperformed with an accuracy of 94.4%. Although the KNN algorithm exhibited slower training speed and time, it demonstrated superior accuracy over the SVM model, as evidenced by its confusion matrix. Feature selection using the MRMR algorithm identified perimeter and equivalent diameter as the most significant features for soybean classification, while minor axis length was deemed the least important. To improve the precision and dependability of soybean variety classification and safeguard customer interests, this research emphasizes the potential of machine learning approaches in conjunction with image processing and morphology feature extraction. © 2024 IEEE.

关键词： Support vector machines

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An efficient and robust corner detection algorithm for furniture boards

An efficient and robust corner detection algorithm for furni...

引用

2024 International conference on image, Signal processing, and Pattern Recognition, ISPP 2024

作者： Chen, Long Jiang, Junfeng Tang, Hengliang Xie, Xiaohua Chen, Xiang Liu, Jing College of Electronics and Information Engineering Shenzhen University Shenzhen China Sun Yat-sen University Guangzhou China Shenzhen China Xinguang Intelligent Systems Co. Ltd in Guangdong Zhongshan China

ISBN: (纸本)9781510680425

In the intelligent inspection of furniture boards, wood debris generated during manufacturing can interfere with the imaging process. This leads to burr disturbances at the corners of the boards. Existing corner detection methods exhibit lower detection accuracy under the interference of these disturbances. To overcome this issue, this paper presents a corner detection algorithm tailored for furniture boards that incorporates the Random Sample Consensus (RANSAC) algorithm and line fitting techniques based on the Huber loss function. To enhance detection efficiency, our algorithm initially identifies horizontal and vertical edges near a corner. This preliminary step facilitates subsequent corner detection. This study introduces a test dataset for evaluating the accuracy and efficiency of algorithms. A battery of comparative experiments, including benchmarks with conventional methods, were conducted. The results demonstrate that our algorithm significantly enhances the efficiency and robustness of corner detection under a variety of complex burr interference conditions. © 2024 SPIE.

关键词： Furniture manufacture

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Evolution of real-time processing of visual information over four decades: a retrospective as outlook to the future of real-time imaging

Evolution of real-time processing of visual information over...

引用

Real-time processing of image, Depth and video Information 2023

作者： Carlsohn, Matthias F. Engineering and Consultancy Dr. Carlsohn for Computer Vision and Image Communication Bremen Germany

ISBN: (数字)9781510662636

ISBN: (纸本)9781510662629

The expectations and demands for real-time performance for processing of visual information usually overloaded contemporary computer systems at all times. Increasing hardware performance enabled the use of more complex analysis and vice versa. For a long time, this led to a mutual fertilization of electronics and computer programs or architectures and algorithms with coherent data structures. Appropriate tool sets marked corner stones and boosted some significant developments. However, up to now one got always the impression that the requirements were always heading the possible performance and the open question becoming more serious is: where will it end? This paper provides a short rush through four decades of real-time image processing with a conclusion for an outlook into future opportunities and current developments providing guidelines to host corresponding research results by this conference in the coming years. New concepts, programming paradigms and production technologies are paving the way for future image processing solutions providing real-time capabilities. © 2023 SPIE.

关键词： Parallel architectures

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Chinese image Description Generation Model Based on Recurrent Fusion Encoding 5th

Chinese Image Description Generation Model Based on Recurren...

引用

5th International conference on 3D Imaging Technologies-Multidimensional Signal processing and Deep Learning, 3DIT-MSP and DL 2023

作者： Zhou, Shiyu Donghua University Shanghai China

ISBN: (纸本)9789819751839

The image description job is a crucial area of research in the nexus of computer vision and applications for natural language processing. The objective is to produce accurate text descriptions using the picture attributes retrieved by the model. The conventional encoder-decoder model produces an inadequate encoding feature because it does less direct dimensionality reduction on images and is deficient in sequence feature information. This research suggests a recurrent fusion encoding-based Chinese picture description generation model to solve the aforementioned issues. R-CNN is used to extract the image's features first. Then, at the encoding side, gated recurrent units and a soft attention mechanism are used to build a recurrent fusion network for full sequence fusion of the image features. Finally, the sequence feature information is combined with a self-attention mechanism for multi-level interaction before being sent to the encoding side. I carried out enough tests on the Flickr_8k dataset and the Ai_Challenger dataset to confirm the model’s validity. According to the experimental data, the model performs better than some Chinese image description algorithms in each index by 0.2–4.2% points, and the generated statements are more accurate and sufficient for image description. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Encoding (symbols)

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Secure vision: Enhancing Data Security in Wireless Sensor Networks through image processing 8

Secure Vision: Enhancing Data Security in Wireless Sensor Ne...

引用

8th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Swamy, B. Venkata Gopi, S. Sudhakar, Kattupalli Girish, Pechetti Rani, M. Janaki Upadhyay, Shrikant B V Raju Institute of Technology Department of Chemistry Telangana State India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Cse Chennai Avadi India Lakireddy Bali Reddy College of Engineering Department of Ai & Ds Mylavaram India Bonam Venkata Chalamayya Institute of Technology and Science Batlapalem Amalapuram India Dr. Mgr Educational and Research Institute Department of Ece Chennai India Mlr Institute of Technology Department of Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9798350376425

The secure Wireless Sensor Network (WSN) architecture was designed in such a way that the tradeoffs among efficiency, scalability and security were balanced. It was consisted of several sensor nodes, cluster heads, base station as well as the control center all of them played a vital role in functioning and managing of data. This network security was provided with a layered security approach like the physical, data link, network, transport, and application layers. Data security and integrity are secured through advanced image processing algorithms, and reliable communication protocol. Regular maintenance, constant monitoring and hardening solutions through resilience and fault tolerance mechanisms added a layer of trust in securing this WSN. A comparative analysis was made using different algorithms, such as Intrusion Detection systems (IDS) and detection accuracy is 98% and proposed model which has shown a better result in the energy consumption, data transmission latency, encryption time, detection precision as well as efficiency to insure an original data integrity. © 2024 IEEE.

关键词： Data integrity

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EgpuIP: An Embedded GPU Accelerated Library for image processing 24

EgpuIP: An Embedded GPU Accelerated Library for Image Proces...

引用

24th IEEE International conference on High Performance Computing and Communications, 8th IEEE International conference on Data Science and systems, 20th IEEE International conference on Smart City and 8th IEEE International conference on Dependability in Sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Wang, Luhan Jia, Haipeng Zhang, Yunquan Li, Kun Wei, Cunyang Institute of Computing Technology Chinese Academy of Sciences State Key Lab of Processors Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Microsoft Research China

ISBN: (纸本)9798350319934

With the advances of embedded GPUs' programming models like GLES and OpenCL, the mobile processor has gained more parallel computing capability, which enables real-time image processing on portable devices. GLES is an excellent option to implement high-performance image processing on embedded GPUs due to its low hardware overhead. However, most GLES studies only focus on porting specific algorithms to embedded GPUs without a general optimization guide. In order to address the pending problems, this paper presents effective performance optimization chains to guide the optimization of image processing algorithms by using GLES. The image processing algorithms can be divided into three modes including data-independent, data-sharing and data-related according to their memory access and calculation characteristics. Based on this classification, our optimization chains contain four optimization directions. 1) Optimizing access to off-chip memory for the memory-bound data-independent algorithm;2) Exploiting data locality by utilizing shared memory and cache for the data-sharing algorithm;3) Redesigning the algorithm to optimize the sharing of computational results between threads for the data-related algorithm;4) Making full use of computation resource for the above three algorithms. Based on these optimization chains, we design an embedded GPU accelerated image processing library, EgpuIP. To evaluate specific optimization methods and performance improvements, we employ histogram equalization, Gaussian pyramid and integral filter as the representative algorithm from EgpuIP and adequately optimize them guided by the proposed optimization chains. Compared to the OpenCV, experiments show that the three algorithms in EgpuIP provide up to 19×88×, and 3× speedup respectively. © 2022 IEEE.

关键词： Graphics processing unit

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Braille-to-Voice Converter Using image processing 2nd

Braille-to-Voice Converter Using Image Processing

引用

2nd International conference on Advances in Computational Intelligence and Informatics, ICACII 2023

作者： Prasad, P. Rajendra Ahmed, Roshan Zameer Lingamurthy, Chethan Raju Chaitra, A.M. Deepak, H.R. Ramaiah Institute of Technology Bangalore560054 India Presidency University Bangalore India

ISBN: (纸本)9789819747269

Approximately 2.2 billion people in the world are visually impaired and rely on assistance to meet their basic needs. Education is a fundamental human need and plays a crucial role in empowering individuals. For visually impaired individuals, education can not only integrate them into society but also enhance their professional and academic abilities. To facilitate better education for the visually impaired, specialized books, educational materials, and devices are necessary. Braille is a tactile system designed for people who are blind, enabling them to read and write through touch. Proposed work aims to improve the education of visually impaired individuals by developing a braille-to-voice converter. The system will use image processing techniques to capture an image of braille text, which will then be analyzed using computer vision algorithms to extract the text and convert it to speech. The ultimate goal is to create a cost-effective, accurate, and user-friendly tool that can be easily integrated into the daily lives of visually impaired individuals. With this system, visually impaired individuals will be able to easily and quickly convert braille text to speech in real time. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： image enhancement

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Intelligent Frame and Table Segmentation in Blueprint Documents: Method and Implementation 6th

Intelligent Frame and Table Segmentation in Blueprint Docume...

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6th conference on Computational Methods in systems and Software (CoMeSySo)

作者： Hasan, Fudail Kashevnik, Alexey ITMO Univ St Petersburg Russia SPC RAS St Petersburg Russia Petrozavodsk State Univ PetrSU Petrozavodsk Russia

ISBN: (纸本)9783031214370;9783031214387

Blueprints are documents that contain the drawing of a design and the information that explains this design. Recently, the task to automatically recognize the information in the blueprint documents has become required. Segmenting the frame and tables in the blueprint is the first step of understanding the blueprint document. In this paper, we explain an automated method for frame and table segmentation. The proposed method processes the blueprint as an image and defines all the parts (pixels) of the blueprint that belongs to the frame or tables. It finds all the lines in the blueprint's image and decide which combinations of lines construct frame and tables. It can process blueprints that have high resolution. The proposed method allows to isolate frame and tables in the blueprint document. We achieved an accuracy of 99% for excellent quality documents.

关键词： Frame and table segmentation Blueprint processing Table detection Lines segmentation

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