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Dual-band optoelectronic poaching detection systems

JOURNAL OF OPTICAL TECHNOLOGY 2022年第9期89卷 528-536页

作者： Markushin, G. N. Korotaev, v. v. Koshelev, A. v. Samokhina, I. A. vasilev, A. S. Timofeev, A. N. vasileva, A. v. Yaryshev, S. N. Ural Opt & Mech Plant Prod Assoc Ekaterinburg Russia ITMO Univ St Petersburg 197101 Russia MS Korp LLC St Petersburg 195009 Russia

Subject of study. We present details regarding the development of dual-band optoelectronic scanning systems for surveillance and detection of poachers and poaching equipment and the inclusion of image fusion and geolocation capabilities. Aim. We present research on a dual-band optoelectronic system for scanning the surface along a quasicircular trajectory that supports overlapping of frames for efficient fusion of images made from different points of view into a single image used to detect, recognize, and geolocate poaching. Methods. We present simulation and experimental study of a prototype system including television and thermal vision channels, a Global Positioning System (GPS) antenna, and inertial navigation system modules mounted on a stabilized common platform. Main results. We propose a system design that will support simultaneous scanning of a search area in television and thermal imaging channels along a quasicircular trajectory, with the capability to expand the search area and provide 30% frame overlap for efficient image fusion. Gyroscopic sensors on the stabilized common platformfor the system and global navigation system antennas will support the requisite accuracy of the surveillance platform and target geolocation. The change in system viewing angle per unit time that would enable the resulting image to be obtained without missing any lines was determined. The primary components of the error in the coordinates of the surveillance platformwhen surveilling an objectwere also determined. The combination of field-of-view scanning and use of geolocation equipment supports the recognition of poachers and poaching equipment and the determination of their coordinates within a global coordinate system. An integrated high-precision GPS receiver (ProPak-v3-424) with an inertial system and data processing technology using Tightly Coupled IMU algorithms (Inertial Explorer) was found to be capable of determining the horizontal coordinates of a surveillance platf

关键词： Coherent antistokes Raman scattering spectroscopy image fusion image processing systems design Thermal imaging viewing angles

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Spectral Method of Analysis and Complex processing of video Information from Multi-Zone images 7th

Spectral Method of Analysis and Complex Processing of Video ...

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7th Computational Methods in systems and Software, CoMeSySo 2023

作者： vasilevskiy, valery v. 4 Volokolamskoe Highway Moscow125993 Russia

ISBN: (纸本)9783031535512

The problem of increasing the efficiency of monitoring of low-contrast objects under conditions of a priori uncertainty of the interference-signal environment based on the technology of complex multi-channel processing of spectrozonal information of multi-zone images obtained by receiving devices is investigated. The stochastic filtering solution is reduced to a simpler deterministic problem of estimating the a posteriori density of the observational data distribution based on the spectral method. We construct an image model based on the spectral characteristics of the random anomaly brightness field and the state vector, represented as a series by functions of the basis system. A description of the adaptive computational algorithm for the complex processing and analysis of the anomaly state of the image based on the approximate solution of the system of linear algebraic equations by the spectral method is given. #COMESYSO1120. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Adaptive algorithms

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Machine Learning-based Bearing Fault Classification Using Higher Order Spectral Analysis

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DEFENCE SCIENCE JOURNAL 2024年第4期74卷 505-516页

作者： Sharma, Anju Patra, G. K. Naidu, v. P. S. CSIR Natl Aerosp Labs Benglauru 560017 India CSIR Fourth Paradigm Inst Bengaluru 560037 India Acad Sci & Innovat Res AcSIR Ghaziabad 201 002 India

In the defense sector, where mission success often hinges on the reliability of complex mechanical systems, the health of bearings within aircraft, naval vessels, ground vehicles, missile systems, drones, and robotic platforms is paramount. Different signal processing techniques along with Higher Order Spectral Analysis (HOSA) have been used in literature for the fault diagnosis of bearings. Bispectral analysis offers a valuable means of finding higher-order statistical associations within signals, thus proving to detect the nonlinearities among Gaussian and non-Gaussian data. Their resilience to noise and capacity to unveil concealed information render them advantageous across a range of applications. Therefore, this research proposesa novel approach of utilizing the features extracted directly from the Bispectrum for classifying the bearing faults, departing from the common practice in other literature where the Bispectrum is treated as an image for fault classification. In this work vibration signalsare used to detect the bearing faults. The features from the non-redundant region and diagonal slice of the Bispectrum are used to capture the statistical and higher-order spectral characteristics of the vibration signal. A set of sixteen machine learning models, viz., Decision Trees, K-Nearest Neighbors, Naive Bayes, and Support vector Machine, is employed to classify the bearing faults. The evaluation process involves a robust 10-fold cross-validation technique. The results reveal that the Decision Tree algorithm outperformed all others, achieving a remarkable accuracy rate of 100 %. The naive Bayes algorithm also demonstrated the least performance, with an accuracy score of 99.68 %. The results obtained from these algorithms have been compared with those achieved using Convolutional Neural Network (CNN), revealing that the training time of these algorithms is significantly shorter in comparison to CNN.

关键词： Bispectrum Higher-order spectral analysis Machine learning Bearings Condition monitoring

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Template-based text field segmentation for ID documents using dynamic squeezeboxes packing

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Multimedia Tools and Applications 2024年 1-15页

作者： Zingerenko, Michael Limonova, Elena Arlazarov, vladimir v. Moscow Institute of Physics and Technology 9 Institutskiy perDolgoprudnii 141701 Russia Smart Engines Service LLC Prospekt 60-Letiya Oktyabrya 9 Moscow117312 Russia Federal Research Center "Computer Science and Control" of Russian Academy of Sciences Ulitsa Vavilova 44 Moscow119333 Russia

In this paper, we focus on the problem of text field segmentation in identity documents. These documents, characterized by their fixed layouts, present an opportunity to apply computationally efficient template-based algorithms. We consider the Dynamic Squeezeboxes Packing method and demonstrate its integration into document recognition systems, utilizing a single sample per document type. We benchmark text field segmentation on the MIDv-2019 public dataset using standard intersection-over-union and our custom intersection-over-template metrics, while also measuring processing time. We demonstrate that Dynamic Squeezeboxes Packing maintains competitive quality compared to text in the wild methods (EAST, CRAFT) and named-entity recognition method (LayoutLMv2). A significant advantage of this method is its processing speed, averaging 9 ms per image on the x86_64 platform, which is substantially faster than EAST (980 ms), CRAFT (2030 ms), and LayoutLMv2 (2210 ms). The obtained results suggest that the considered method has strong potential as a method in document image analysis, particularly for processing identity documents. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Template matching

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Recent advances in combined Positron Emission Tomography and Magnetic Resonance Imaging

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JOURNAL OF INSTRUMENTATION 2024年第1期19卷 C01001页

作者： Galve, P. Rodriguez-vila, B. Herraiz, J. L. Garcia-vazquez, v. Malpica, N. Udiasa, J. M. Torrado-Carvajald, A. Univ Complutense Madrid CEI Moncloa EMFTEL Nucl Phys Grp Madrid 28040 Spain Hosp Clin San Carlos Hlth Res Inst IdISSC C Prof Martin Lagos S-N Madrid 28040 Spain INSERM UMR970 Paris Cardiovasc Res Ctr 56 Rue Leblanc F-75015 Paris France Univ Rey Juan Carlos Dept Chem & Environm Technol C Tulipan S-N Mostoles 28933 Spain

Hybrid imaging modalities combine two or more medical imaging techniques offering exciting new possibilities to image the structure, function and biochemistry of the human body in far greater detail than has previously been possible to improve patient diagnosis. In this context, simultaneous Positron Emission Tomography and Magnetic Resonance (PET/MR) imaging offers great complementary information, but it also poses challenges from the point of view of hardware and software compatibility. The PET signal may interfere with the MR magnetic field and vice -versa, posing several challenges and constrains in the PET instrumentation for PET/MR systems. Additionally, anatomical maps are needed to properly apply attenuation and scatter corrections to the resulting reconstructed PET images, as well motion estimates to minimize the effects of movement throughout the acquisition. In this review, we summarize the instrumentation implemented in modern PET scanners to overcome these limitations, describing the historical development of hybrid PET/MR scanners. We pay special attention to the methods used in PET to achieve attenuation, scatter and motion correction when it is combined with MR, and how both imaging modalities may be combined in PET image reconstruction algorithms.

关键词： Medical image reconstruction methods and algorithms Multi-modality systems Quantitative imaging PET/MR

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Anisotropic Diffusion Method on Multiple Domain Noisy images: A Recommendation

Anisotropic Diffusion Method on Multiple Domain Noisy Images...

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2024 International Conference on Advances in Data Engineering and Intelligent Computing systems, ADICS 2024

作者： Palanisamy, v. Malarvel, Muthukumaran Thangakumar, J. Hindustan Institute Of Technology And Science Department Of Computer Science And Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350364828

Noise poses a maj or challenge to image processing, making accurate analysis and interpretation more difficult. Anisotropic diffusion algorithms specifically tailored for noisy images across several domains are examined in this paper. The efficiency of anisotropic diffusion in lowering noise in various image datasets is evaluated in-depth in this study. Based on comprehensive study and experimentation, this work presents real proof of the efficacy of this method in decreasing noise while preserving significant image properties in multiple domains. In comparison to the MP and MPM models, the experimental findings show that the suggested model performs quite well. © 2024 IEEE.

关键词： Diffusion

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Design and Development of Deep Learning-Aided vision Guidance System for AUv Homing Applications

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IEEE EMBEDDED systems LETTERS 2024年第2期16卷 198-201页

作者： Jyothi, v. Bala Naga Akash, S. Jai Ramadass, G. Ananda vedachalam, N. venkataraman, Hrishikesh Indian Inst Informat Technol Sri City Smart Transportat Res Grp Sri City 517646 India Minist Earth Sci Natl Inst Ocean Technol Chennai 600100 India

In the current subsea industry scenario, autonomous underwater vehicles (AUvs) are widely used for expeditions and explorations. However, the mission duration is limited due to the limitations in the battery capacity. To increase the endurance, there is a need for a submerged docking station (DS) to charge the battery, also to update the next mission profile. In this letter, deep learning (DL) technique aided short-range vision guidance is envisaged for a reliable and precise AUv homing operation. Intelligent control algorithms with an efficient DL-based you only look once (YOLO) v5-image processing techniques are used for DS detection and tracking and deployed in an edge computer integrated into AUv prototype. The developed illuminated DS and AUv prototype with high-definition camera has been demonstrated in test tank at depth of 2 m. An analysis was conducted on the DS data set, which comprised 132 images of clear and turbid water, 13 were designated for testing, 40 for validation, and 79 for training purposes. The results were observed that the probability of detecting the DS is 95%, detection range is 5 m, the probability of homing toward the DS is CEP 90 with the position error of 5% in less-turbid waters and in high-turbid waters, 60% is the probability of DS detection with position error up to 25%, detectable range is 1 m. The proposed embedded hardware is extremely useful for underwater reliable homing applications.

关键词： Cameras Hardware Computer architecture Lighting Real-time systems Prototypes Computational modeling Autonomous underwater vehicles (AUvs) pose estimation vision guidance YOLO v5

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An efficient bicubic interpolation implementation for real-time image processing using hybrid computing

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JOURNAL OF REAL-TIME image processing 2022年第6期19卷 1211-1223页

作者： Zhu, Yubin Dai, Yonghang Han, Kaining Wang, Junchao Hu, Jianhao Univ Elect Sci & Technol China Natl Key Lab Sci & Technol Commun Chengdu 611731 Peoples R China Chongqing Univ Dept Microelect & Commun Engn Chongqing 400044 Peoples R China

Bicubic interpolation is a classic algorithm in the real-time image processing systems, which can achieve good quality at a relatively low hardware cost, and is also the fundamental component of many other much more complex algorithms. However, the multiply-accumulate units (MAC) in the bicubic require massive resources in the hardware-based implementation, which limits the use of the bicubic algorithm. In this article, a hybrid architecture of fix-point and stochastic computing is proposed to reduce the hardware resource consumption by computing the low-weight bits ambiguously. The proposed architecture is tested on standard image sets to survey the performance and is implemented on Intel Cyclone v and Xilinx virtex-II targets to verify the hardware consumption. The experimental results show that the proposed architecture achieves significant resource reduction and even higher image processing speed compared to the existing architectures with comparable performance.

关键词： Bicubic Interpolation Stochastic computing Multiply-accumulate (MAC)

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Anemia Detection Through image Analysis and image processing

Anemia Detection Through Image Analysis and Image Processing

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2023 Intelligent Computing and Control for Engineering and Business systems, ICCEBS 2023

作者： Nalini, M. Sriharipriyan, P. Matheswaran, P. vikash, K.v. Sudharsan, M. Sri Sairam Engineering College Electronics and Instrumentation Engineering Chennai India

ISBN: (纸本)9798350394580

A non-invasive method for early anemia identification. The technology uses image processing and analysis to extract important characteristics from pertinent regions, including the fingernails or conjunctiva. With the use of sophisticated algorithms, these characteristics will be connected to hemoglobin levels to provide an accessible smartphone application for anemia screening. The goal of the project is to advance non-invasive, effective diagnostic techniques that will facilitate early intervention and improve access to healthcare. © 2023 IEEE.

关键词： Anemia Detection artificial intelligence CNN image processing Non-invasive method

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An Integrated Approach: Combining GrabCut and Contour-Matching for Hand Gesture Segmentation in Indian Sign Language 8th

An Integrated Approach: Combining GrabCut and Contour-Matchi...

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8th International Conference on Computer vision and image processing (CvIP)

作者： Poornima, B. v. Srinath, S. Rashmi, S. Rakshitha, R. JSS Sci & Technol Univ Mysuru India

ISBN: (纸本)9783031581809;9783031581816

Hand Segmentation plays a vital role in human-computer interaction using computer vision. It serves as an initial step in hand gesture recognition systems or to recognize various sign languages and is considered essential preprocessing. The region of interest (ROI) in an image requires filtering or modification, which can be represented as a bounding box or a binary mask picture. Accurate hand segmentation is the critical first phase in sign language recognition (SLR) systems. Segmenting the ROI reduces processing time and enhances the precision of sign recognition. This study proposes two methods: a contour-matching technique applied to a simple black background dataset, and a novel hybrid algorithm that combines the GrabCut method with the contour-matching method to extract the ROI from images with complex backgrounds. This work's purpose is to use the segmented images for the Indian sign language (ISL) recognition system. The results show that the contour-based segmentation technique achieves excellent results for the dataset with a black background. The number of iterations the GrabCut algorithm needs to separate the foreground varies depending on the complexity of the background. The algorithms are evaluated on datasets of ISL consisting of images with a black background and images with a complex background.

关键词： Indian sign language (ISL) Hand gesture recognition (HGR) SLR Simple background Complex background Contour matching Graphcut

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