- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC) - Mon Tresor, Plaine Magnien, Mauritius (2018.12.6-2018.12.7)] 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC) - Atmospheric Effects on Free Space Optics Wireless Communication: Applications and Challenges
摘要： Demand for data and multi-media services in recent times has really grown and it is expected to grow more in the next decade with application ranges from high speed real-time/live streaming to live video-conferencing, and so the demand for new and richer data services to meet up with the new and more advanced applications. In other to meet up with these great users’ expectations, there is a need to explore other viable access network technologies that can offer services beyond what is already in the offering. Free space optical (FSO) communication system is the predominant choice to replace existing wireless technology with great availability of link capacity and huge bandwidth to meet the user’s expectation of the 21st century. This system is reliant on optics signal transmitted in a free space channel, hence termed FSO. This type of communication does not require any licenses for its operation and offers many features being the low-start up and operational cost, rapid development and high fiber-like bandwidth. FSO uses line-of-sight path for the communication between two points and beam of light to provide optical connection that can send and receive video, voice and data information. This technology provides a massive and unregulated bandwidth where a data rate in excess of 100Gbit/s is achievable over a distance of 1-4km. However, it suffers from degradation in the signal quality due to its susceptibility to atmospheric channel impairments which limits its wide deployment and quality of services. This paper explores the FSO system, atmospheric effects of implementing this system and mitigating techniques.
关键词： free space optical fiber-like,atmospheric channel,real-time,multi-media
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Krakow, Poland (2018.10.16-2018.10.18)] 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Real-Time Stereo Vision for Road Surface 3-D Reconstruction
摘要： Stereo vision techniques have been widely used in civil engineering to acquire 3-D road data. The two important factors of stereo vision are accuracy and speed. However, it is very challenging to achieve both of them simultaneously and therefore the main aim of developing a stereo vision system is to improve the trade-off between these two factors. In this paper, we present a real-time stereo vision system used for road surface 3-D reconstruction. The proposed system is developed from our previously published 3-D reconstruction algorithm where the perspective view of the target image is first transformed into the reference view, which not only increases the disparity accuracy but also improves the processing speed. Then, the correlation cost between each pair of blocks is computed and stored in two 3-D cost volumes. To adaptively aggregate the matching costs from neighbourhood systems, bilateral filtering is performed on the cost volumes. This greatly reduces the ambiguities during stereo matching and further improves the precision of the estimated disparities. Finally, the subpixel resolution is achieved by conducting a parabola interpolation and the subpixel disparity map is used to reconstruct the 3-D road surface. The proposed algorithm is implemented on an NVIDIA GTX 1080 GPU for the real-time purpose. The experimental results illustrate that the reconstruction accuracy is around 3 mm.
关键词： stereo vision,3-D reconstruction,bilateral filtering,subpixel disparity map,real-time
更新于2025-09-23 15:22:29
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Digital Circuit Methods to Correct and Filter Noise of Nonlinear CMOS Image Sensors
摘要： Nonlinear complementary metal-oxide semiconductor (CMOS) image sensors (CISs), such as logarithmic (log) and linear–logarithmic (linlog) sensors, achieve high/wide dynamic ranges in single exposures at video frame rates. As with linear CISs, fixed pattern noise (FPN) correction and salt-and-pepper noise (SPN) filtering are required to achieve high image quality. This paper presents a method to generate digital integrated circuits, suitable for any monotonic nonlinear CIS, to correct FPN in hard real time. It also presents a method to generate digital integrated circuits, suitable for any monochromatic nonlinear CIS, to filter SPN in hard real time. The methods are validated by implementing and testing generated circuits using field-programmable gate array (FPGA) tools from both Xilinx and Altera. Generated circuits are shown to be efficient, in terms of logic elements, memory bits, and power consumption. Scalability of the methods to full high-definition (FHD) video processing is also demonstrated. In particular, FPN correction and SPN filtering of over 140 megapixels per second are feasible, in hard real time, irrespective of the degree of nonlinearity.
关键词： FPGA,salt-and-pepper noise,digital circuits,real-time processing,fixed pattern noise,CMOS image sensors
更新于2025-09-23 15:22:29
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Real‐Time Light‐Guided Vocal Fold Injection: Ex Vivo Feasibility Study in a Canine Model
摘要： Objective: The transcricothyroid (CT) membrane approach is a good option for office-based vocal fold injection (VFI). However, because the needle tip is invisible during injection using the CT approach, precise localization requires a high level of experience, and mastering this approach involves a steep learning curve. To overcome current limitations, we conceptualized a novel technique: real-time light-guided VFI (RL-VFI), which enables simultaneous VFI under direct visualization of the lighted needle tip. Herein, we aimed to verify the feasibility of RL-VFI in cadaveric canine model, simulating the setting of office-based VFI, as well as to explore its clinical usefulness. Study Design: Animal study. Methods: A customized prototype device was developed. It consisted of three parts: light source, controller, and injector. Light source comprised laser diodes of two wavelengths (635 nanometers [nm], red; 532 nm, green). Four types of injector were developed using 40-mm needles of 23- and 25-gauge and optic fibers of 50 and 100 μm. ex vivo canine larynx was prepared for the experiment. Flexible laryngoscopy system was used to examine canine vocal folds. Results: Various routes from three insertion points (3 mm, 10 mm, and 17 mm from the midline) were validated using the device. Regardless of the injection routes, the location of the needle tip was accurately indicated by light. RL-VFI was feasible under light guidance without difficulties. Moreover, precise and simultaneous re-injection could be performed at the intended point using the device. Conclusion: We introduced RL-VFI using our customized prototype device in an ex vivo canine larynx, simulating the setting of office-based VFI. Clinical application of RL-VFI will improve safety and precision of CT approach, as well as expand its applications in laryngology.
关键词： injection,Vocal fold,larynx,real-time,light-guided,device,vocal fold palsy,transcutaneous
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP) - Shenzhen, China (2018.7.13-2018.7.15)] 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP) - Real-time Path Planning Based on IRRT Algorithm in 3D Environment
摘要： This paper presents a real-time path planning method for unmanned aerial vehicles(UAVs) navigation in 3D environment. In this study, 3D point clouds are processed into octomap, which is the octree-based 3D map representation of environment and is a probabilistic representation of occupancy including free and unknown areas. Rapidly-exploring random tree is improved by introducing the random probability and storing relatively optimal path with a certain number of iterations, called iteration rapidly-exploring random tree, to find a collision-free path in the free areas. Down-sampling and curve fitting by Bezier curve are performed to smooth path that satisfy the constraints of flight trajectory of UAVs. Experimental results verify the proposed algorithm and prove that it is valid.
关键词： octree,real-time,planning,iteration rapidly-exploring random tree(IRRT),Bezier curve,path
更新于2025-09-23 15:22:29
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Real-time tracking of fluorescent magnetic spore–based microrobots for remote detection of <i>C. diff</i> toxins
摘要： A rapid, direct, and low-cost method for detecting bacterial toxins associated with common gastrointestinal diseases remains a great challenge despite numerous studies and clinical assays. Motion-based detection through tracking the emerging micro- and nanorobots has shown great potential in chemo- and biosensing due to accelerated 'chemistry on the move'. Here, we described the use of fluorescent magnetic spore–based microrobots (FMSMs) as a highly efficient mobile sensing platform for the detection of toxins secreted by Clostridium difficile (C. diff) that were present in patients' stool. These microrobots were synthesized rapidly and inexpensively by the direct deposition of magnetic nanoparticles and the subsequent encapsulation of sensing probes on the porous natural spores. Because of the cooperation effect of natural spore, magnetic Fe3O4 nanoparticles, and functionalized carbon nanodots, selective fluorescence detection of the prepared FMSMs is demonstrated in C. diff bacterial supernatant and even in actual clinical stool samples from infectious patients within tens of minutes, suggesting rapid response and good selectivity and sensitivity of FMSMs toward C. diff toxins.
关键词： biosensing,real-time tracking,C. diff toxins,fluorescent magnetic spore-based microrobots,remote detection
更新于2025-09-23 15:22:29
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[IEEE 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP) - Porto, Portugal (2018.10.10-2018.10.12)] 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP) - Low Power Image Processing Applications on FPGAs Using Dynamic Voltage Scaling and Partial Reconfiguration
摘要： The TULIPP project aims to facilitate the development of embedded image processing systems with real-time and low-power constraints. In this paper, several adaptive dynamic runtime techniques for reconfigurable SoCs are described. These methods are used for low power image processing applications on high-performance embedded platforms. Dynamic voltage scaling and dynamic partial reconfiguration target the low-power requirements of the embedded systems while debugging supports the fast development on the hardware side of the system. The proposed techniques were tested and verified using an own developed custom SDSoC image processing library.
关键词： low power,FPGA,image processing,Debugging,Embedded systems,reconfigurable,real-time,Dynamic Voltage Scaling,Dynamic Partial Reconfiguration
更新于2025-09-23 15:22:29
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[IEEE 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP) - Porto, Portugal (2018.10.10-2018.10.12)] 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP) - Hardware-Software Implementation of a SFM Module for Navigation an Unmanned Aerial Vehicles-A Demo
摘要： In this paper the design of an embedded vision system for structure from motion (SFM) computation is presented. The solution allows for scene depth reconstruction based on two consecutive video frames registered by a moving camera. The module is developed for a Xilinx Zynq SoC (System on Chip) device and is divided into a hardware and software part. The programmable logic (PL) is used mainly for detect and match features. Fundamental matrix estimation and triangulation are executed in the processing system (PS – ARM based). The module is dedicated to navigation of unmanned aerial vehicles (UAV) – autonomous flight and landing. The system is adapted to process a 1280x720 pixel video stream @60 frames per second in real-time.
关键词： FPGA,Zynq SoC,structure from motion,real-time video processing,hardware-software systems
更新于2025-09-23 15:22:29
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[IEEE 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP) - Porto, Portugal (2018.10.10-2018.10.12)] 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP) - Energy and Execution Time Comparison of Optical Flow Algorithms on SIMD and GPU Architectures
摘要： This article presents and compares optimized implementations of two optical flow algorithms on several target boards comprising multi-core SIMD processors and GPUs. The two algorithms are Horn-Schunck (HS) and TV-L1, and have been chosen because they are both well-known, and because of their different computational complexity and accuracy. For both algorithms, we have made parallel optimized SIMD implementations, while HS has also been implemented on GPUs. For each algorithm, the comparison between the different versions and target boards is carried out in a two-dimensional fashion: in terms of computing speed – in order to achieve real-time computation – and in terms of energy consumption since we target embedded systems. The results show that for HS, the GPUs are the most efficient in both dimensions, able to process in real-time performances (25 frames per second) up to 8 Mpix images for 0.35 J per image, against 1.8 Mpix images for 0.24 J per image on CPU. The results also highlight the impact of optimizations on TV-L1: far slower than HS without optimization, it can almost match its performance after optimization on CPU, and can achieve real-time performances with 0.25 J for 1.4 Mpix images. We hope these results will help developers design optical flow embedded systems.
关键词： embedded systems,TV-L1,optical flow,real-time processing,energy consumption,GPU,Horn-Schunck,SIMD
更新于2025-09-23 15:22:29
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[IEEE 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP) - Porto, Portugal (2018.10.10-2018.10.12)] 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP) - Implementation of a Real-Time Image-Based Vibration Detection and Adaptive Filtering on an FPGA
摘要： In this paper, we propose and implement a field-programmable gate array (FPGA) system which extracts a vibration component of a desired frequency band from moving images in real-time, aiming at application to image-based vibration suppression such as microsurgery assistance systems. The technical challenges to this end are two-fold: fast and robust detection of vibration components in given moving images and zero-phase band-pass filtering for a desired frequency band. For the former, we employ a statistical approach using dense optical flow to derive frequency components, and design a custom optical flow computing hardware with the Lucas-Kanade (LK) method. For the latter, we implement a sort of adaptive band-pass filters called a bandlimited multiple Fourier linear combiner (BMFLC), which can recompose input signals as a mixture of sinusoidal signals with multiple frequencies in a band with no phase delay. Both designs are implemented in a deeply pipelined manner on a Xilinx Kintex-7 XC325T FPGA, without using any external memories. Empirical experiments reveal that the proposed system extracts a vibration component of high-frequency tremors in hand motions, while intentional low-frequency motions are successfully filtered out. The system processes VGA moving images at 60 fps, with a delay of less than 1 us for the BMFLC, suggesting effectiveness of the deep pipelined architecture.
关键词： FPGA,optical flow,real-time image processing,adaptive filtering,vibration detection
更新于2025-09-23 15:22:29