- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON) - Kochi, India (2019.10.17-2019.10.20)] TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON) - Use of graphene in combination with plasmonic metal nanoparticles to enhance the opto-electronic efficiency of thin-film solar cells
摘要： Distance functions are at the core of important data analysis and processing tools, e.g., PCA, classification, vector median filter, and mathematical morphology. Despite its key role, a distance function is often used without careful consideration of its underlying assumptions and mathematical construction. With the objective of identifying a suitable distance function for hyperspectral images so as to maintain the accuracy of hyperspectral image processing results, we compare existing distance functions and define a suitable set of selection criteria. Bearing in mind that the selection of distance functions is highly related to the actual definition of the spectrum, we also classify the existing distance functions based on how they inherently define a spectrum. Theoretical constraints and behavior, as well as numerical tests are proposed for the evaluation of distance functions. With regards to the evaluation criteria, Euclidean distance of cumulative spectrum (ECS) was found to be the most suitable distance function.
关键词： multidimensional signal processing,Image processing
更新于2025-09-23 15:19:57
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[IEEE 2019 International Topical Meeting on Microwave Photonics (MWP) - Ottawa, ON, Canada (2019.10.7-2019.10.10)] 2019 International Topical Meeting on Microwave Photonics (MWP) - On-chip Photonic Method for Doppler Frequency Shift Measurement
摘要： 4-D-computed tomography (4DCT) provides not only a new dimension of patient-specific information for radiation therapy planning and treatment, but also a challenging scale of data volume to process and analyze. Manual analysis using existing 3-D tools is unable to keep up with vastly increased 4-D data volume, automated processing and analysis are thus needed to process 4DCT data effectively and efficiently. In this paper, we applied ideas and algorithms from image/signal processing, computer vision, and machine learning to 4DCT lung data so that lungs can be reliably segmented in a fully automated manner, lung features can be visualized and measured on the fly via user interactions, and data quality classifications can be computed in a robust manner. Comparisons of our results with an established treatment planning system and calculation by experts demonstrated negligible discrepancies (within ±2%) for volume assessment but one to two orders of magnitude performance enhancement. An empirical Fourier-analysis-based quality measure-delivered performances closely emulating human experts. Three machine learners are inspected to justify the viability of machine learning techniques used to robustly identify data quality of 4DCT images in the scalable manner. The resultant system provides a toolkit that speeds up 4-D tasks in the clinic and facilitates clinical research to improve current clinical practice.
关键词： Biomedical image processing,machine learning algorithms,classification algorithms,data visualization,computed tomography,morphological operations,image analysis
更新于2025-09-23 15:19:57
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Applying Fast Scanning Method Coupled with Digital Image Processing Technology as Standard Acquisition Mode for Scanning Electron Microscopy
摘要： This study proposes an e?cient and fast method of scanning (e.g., television (TV) scan) coupled with digital image processing technology to replace the conventional slow-scan mode as a standard model of acquisition for general-purpose scanning electron microscopy (SEM). SEM images obtained using the proposed method had the same quality in terms of sharpness and noise as slow-scan images, and it was able to suppress the adverse e?ects of charging in a full-vacuum condition, which is a challenging problem in this area. Two problems needed to be solved in designing the proposed method. One was suitable compensation in image quality using the inverse ?lter based on characteristics of the frequency of a TV-scan image, and the other to devise an accurate technique of image integration (noise suppression), the position alignment of which is robust against noise. This involved using the image montage technique and estimating the number of images needed for the integration. The ?nal result of our TV-scan mode was compared with the slow-scan image as well as the conventional TV-scan image.
关键词： image integration,inverse filter,TV scan,charging effects,scanning electron microscopy,fast scanning method,digital image processing,slow-scan mode
更新于2025-09-23 15:19:57
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Spreading of biologically relevant liquids over the laser textured surfaces
摘要： Hypothesis: The distribution of biological objects upon the spreading of biologically relevant dispersions over laser textured surfaces is affected by the dispersion composition and substrate chemistry and roughness. Experiments: To examine the role of the substrate texture in biologically relevant liquid spreading, the dynamic behavior of droplets of water and dispersions of bacterial cells and viruses and dynamic behavior of droplet/air surface tension were addressed. A new procedure to simultaneously distinguish three different spreading fronts was developed. Findings: The study of spreading of water and the biologically relevant liquids over the laser textured substrate indicate the development of three spreading fronts associated with the movement of bulk droplet base, the flow along the microchannels, and the nanotexture impregnation. The anisotropy of spreading for all types of liquid fronts was found. Despite the expected difference in the rheological behavior of water and the biologically relevant liquids, the spreading of all tested liquids was successfully described by power-law fits. The droplet base spreading for all tested liquids followed the Tanner law. The advancing of water and dispersions in the microchannels along both fast and slow axes was described by Washburn type behavior. The impregnation of the nanotexture by water and biologically relevant liquids demonstrated universality in power fit description with an exponent n = 0.23.
关键词： Biologically relevant liquid,Spreading,Wetting,Dynamic wetting,E. coli,Image processing,Roughness,Contact angle,Textured surface,Bacteriophage
更新于2025-09-23 15:19:57
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3D particle tracking velocimetry for the determination of temporally resolved particle trajectories within laser powder bed fusion of metals
摘要： Within this work, we present a system for the measurement of the three-dimensional (3D) trajectories of spatters and entrained particles during laser powder bed fusion (L-PBF) of metals. It is comprised of two ultrahigh-speed cameras and a reconstruction task specific processing reconstruction algorithm. The system enables an automated determination of 3D measures from the trajectories of a large number of tracked particles. Ambiguity evolving from an underdetermined geometrical situation induced by a two-camera setup is resolved within the tracking using a priori knowledge of L-PBF of metals. All processing steps were optimized to run on a graphics processing unit to allow the processing of large amounts of data within an appropriate time frame. The overall approach was validated by a comparison of the measurement results to synthetic images with a known 3D ground truth.
关键词： laser,high-speed imaging,3D particle velocimetry,image processing,additive manufacturing,powder bed fusion
更新于2025-09-23 15:19:57
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Evaluation of baking performance by means of mid-infrared imaging
摘要： The present work aims to validate mid-infrared imaging as a promising method for evaluating oven systems. Therefore, a novel approach by analyzing mid-infrared radiation patterns captured by a thermal camera and subsequent image processing was developed. A thermal camera was adapted to two di?erent oven systems: a standard electric deck oven and a novel gas-?red baking oven with integrated volumetric ceramic burners (VCBs). The baked goods were analyzed and key indicators describing the ?nal product quality were determined. Speci?c volume, surface browning and mid-infrared image processing demonstrated a comparable performance of both oven systems. Furthermore, the determined surface heat homogeneity of the items to be baked was 0.65 ± 0.05 (–) for the electronic oven and 0.70 ± 0.03 (–) for the VCB oven. The proposed approach proved its fundamental quali?cation for comparing and evaluating di?erent oven systems.
关键词： Oven system evaluation,Baking monitoring,Image processing,Mid-infrared
更新于2025-09-23 15:19:57
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[IEEE 2019 19th International Workshop on Junction Technology (IWJT) - Kyoto, Japan (2019.6.6-2019.6.7)] 2019 19th International Workshop on Junction Technology (IWJT) - Aspects of Highly-channeled MeV Implants of Dopants in Si(100)
摘要： Low-dose CT (LDCT) images tend to be degraded by excessive mottle noise and steak artifacts. In this paper, we proposed a novel fractional-order differentiation model that can be applied to LDCT image processing as a post-processing technique. The anisotropic diffusion model (proposed by Perona and Malik, i.e., PM model) has good performance in flat regions, total variation (TV) model works better in edge preservation, and fractional-order differentiation models can mitigate block effect while preserving fine details and more structure. The proposed model is based on the weighted combinations of the fractional-order PM model and the fractional-order TV model, which maintains the advantages of PM model, TV model, and fractional-order differentiation models. Moreover, the local intensity variance was added to both weighted coefficient and diffusion coefficient of the proposed model to properly preserve edges and details. A variety of simulated phantom data, including the Shepp–Logan head phantom, the pelvis phantom, and the actual thoracic phantom, were used for experimental validation. The results of numerical simulation and clinical data experiments demonstrate that the proposed approach has a better performance in both noise suppression and detail preservation, when compared with several other existing methods.
关键词： image processing,edge and detail preservation,fractional-order differentiation model,Low-dose CT
更新于2025-09-23 15:19:57
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Recent advancements in micro-crack inspection of crystalline silicon wafers and solar cells
摘要： The move towards in-line instrumentation quality assurance in photovoltaic industry has triggered new interest in development of novel methods and instruments for defect detection. Among the many tests that need to be carried out on silicon wafers and solar cells during the manufacturing process is the detection of micro-cracks. To date, the optical transmission method and luminescence technologies like electroluminescence and photoluminescence are popularly used by silicon wafer and solar cell manufacturers primarily due to their practicality and speed advantages. However, the increase in production throughput speeds and the recent change in the wafer sawing process where slurry-based sawing is gradually being replaced with diamond-wire sawing presents new challenges to the industries. This short perspective presents these new challenges and highlights breakthrough inventions in response to recent development. This article concludes by identifying some research opportunities that has emerged as a result of these recent developments.
关键词： Image Processing,Micro-crack,Solar Cell,Silicon Wafer,Machine Vision
更新于2025-09-23 15:19:57
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Nanoparticle Design Rules for Colorimetric Plasmonic Sensors
摘要： Localized surface plasmon resonance (LSPR) sensors are used in a broad range of detection applications across the chemical, biological, environmental, and medical disciplines. These types of sensors traditionally use the plasmon resonance wavelength of a nanoparticle array to detect changes in refractive index at the sensor surface and therefore require expensive spectroscopic instrumentation for readout. However, simple, portable, and low-cost LSPR sensors can be achieved by transitioning to colorimetric measurements, in which refractive index changes are quantified using the R, G, and B pixel intensities from digital nanoparticle images. In this study we use R, G, and B pixel intensities to quantify color coordinates in the HSV, CIE L*a*b, and rgb chromaticity color spaces. We show that for sensors comprising 115-nm diameter nanoparticles, hue (H) is the most sensitive color parameter, with a change per refractive index unit (Dhue/DRIU) of 0.71 and a figure of merit of 183 RIU-1. Furthermore, we compared hue figures of merit (FOM) for nanoparticles in four different diameters (34.1, 59.8, 81.5, and 115 nm) and showed that hue sensitivity peaks at a diameter of 81.5 nm, with a FOM of 222 RIU-1. In contrast, the spectroscopic sensitivity, quantified in units of Dnm/DRIU, increased continually with nanoparticle size. Therefore, the design requirements for colorimetric plasmonic sensors differ from those for spectroscopic plasmonic sensors. This difference in size dependence was explored further using Mie calculations to simulate nanoparticle extinction spectra. Our results revealed that while lmax responds linearly to refractive index changes, hue responds in a sigmoidal fashion. As a result, the nanoparticle size used in colorimetric sensors relying on hue measurement should be carefully selected to achieve a linear sensor response. We provide general design rules for optimizing hue-based colorimetric sensors and demonstrate that our sensor can be used with a smartphone to detect antibody-antigen interactions.
关键词： portable,refractive index,nanosensor,hue,smartphone,image processing
更新于2025-09-23 15:19:57
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A Computer Vision Line-Tracking Algorithm for Automatic UAV Photovoltaic Plants Monitoring Applications
摘要： In this paper, the authors propose an UAV-based automatic inspection method for photovoltaic plants analyzing and testing a vision-based guidance method developed to this purpose. The maintenance of PV plants represents a key aspect for the pro?tability in energy production and autonomous inspection of such systems is a promising technology especially for large utility-scale plants where manned techniques have signi?cant limitations in terms of time, cost and performance. In this light, an ad hoc ?ight control solution is investigated to exploit available UAV sensor data to enhance ?ight monitoring capability and correct GNSS position errors with respect to ?nal target needs. The proposed algorithm has been tested in a simulated environment with a software-in-the loop (SITL) approach to show its effectiveness and ?nal comparison with state of the art solutions.
关键词： PV plant monitoring,Unmanned Aerial Vehicles,image processing,?y-by-sensor,computer vision,automatic ?ight
更新于2025-09-23 15:19:57