JOURNAL OF CULTURAL HERITAGE
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2024
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IF 3.5
Jose A. Madrid García,Effat Yahaghi,Amir Movafeghi,Mahdi Mirzapour
Preserving soft plastic or elastomeric material toys in museums and detecting their defects have become increasingly important. Accurate information regarding cracks and fissures in these toys is essential for preservation and restoration processes. Visual inspection is typically the first step in identifying damage, and various tests such as FTIR and NIR are commonly used to assess the condition of toys with a soft or flexible texture. However, these methods do not provide the location and size of the defects. Radiographic Testing (RT) is a valuable non-destructive method that can reveal the size and location of defects and fissures in toys crafted from an elastomeric material for conservation planning. However, X-ray radiographs often appear foggy due to the low atomic number of elastomeric material and the thinness of these toys. To address this issue, a cartoon texture image processing method based on a Gaussian filter was applied to digital radiographs to enhance the imaging contrast of the original radiographs. The results demonstrate that this method effectively identifies toys' defects, fissures, and internal structures. The contrast in the reconstructed image increased threefold compared to the original radiographs, according to the line profile method in the Duplex Image Quality Indicator (DIQI) region. Additionally, the size of cracks can be estimated by comparing them with the intervals of lines in the DIQI.
研究领域:
文物保护
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材料科学
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图像处理
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DOI
高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2023
·
IF 15.1
Shuaifei Mao,Mingqing Cui,Sheng Jiang,Pengfei Zhao,Jie Lao,Chunli Jiang,Chunhua Luo,Bobo Tian,Hechun Lin,Jadranka Travas-sejdic,Hui Peng,Chun-Gang Duan
The lead-free perovskite-inspired materials are regarded as one of the alternatives to lead-based perovskite for the preparation of neuromorphic devices due to their low toxicity, excellent optical and transport properties. Herein, a two-terminal artificial synapse was fabricated based on a novel lead-free halide Cu 2 AgBiI 6 thin film. The fabricated device exhibited the versatile synaptic behavior whether subjected to external electrical or optical stimulation benefitting from the excellent photoelectric characteristics of Cu 2 AgBiI 6 . Furthermore, the intrinsic photovoltaic feature of Cu 2 AgBiI 6 enabled the device with capabilities of operating in a self-powered mode under optical stimulation. The device successfully imitated the retina’s capacity for color perception by employing optical pulses of various wavelengths. The dependence of the device response on the optical pulse frequency allowed it to function as a high-pass filter for image sharpening. At last, the device was applied for the information encryption and decryption transmission based on a constructed password book including 128 common characters and numbers, which shows great potential for information encryption and decryption transmission. The comprehensive characters of the device display great superiority over other artificial synaptic devices.
研究领域:
神经形态计算
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材料科学
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光电学
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产品关联
DOI
高影响因子
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
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2025
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IF 1.4
Long-fei An,Ling-hua Zheng,Yan-hong Chen,Ming-shuo Tang,Yan-shi Zhang,Liang-wen Chen,Yun-long Wang,Rui Cheng,Jie Yang,Lei Yang
The precise determination of 2D dose distribution at high doses and convenient dose measurement methods are ongoing challenges in the study of beam diagnosis on large-scale scientific devices. The current work offers an impressive solution by integrating PEGDA photonic crystal films with HSB (Hue, Saturation, Brightness) image processing technology. Under irradiation by a proton beam with a low energy of 182.5 keV, the dose dependence of the radiochromic properties of PEGDA films was confirmed in the experiment. Low-energy protons can alter the microstructure of PEGDA films during energy deposition, reducing the characteristic distance and decreasing the diffraction center wavelength. Under irradiation by proton beams with high doses from 1 MGy to 17.6 MGy (on average), the PEGDA films exhibited a significant blue shift in color phase, with a clear linear relationship between wavelength and absorbed dose. This study offers a straightforward and effective real-time dose feedback analysis method compared to traditional radiochromic readout systems. This approach, which is based on visual observation and digital image analysis, could provide a precise assessment of dose distribution through intuitive image interpretation. In summary, this work introduces a direct and effective dosimeter along with a simple and rapid method for dose readout, offering valuable validation for beam diagnosis.
研究领域:
辐射生物学
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医学物理
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DOI
高影响因子
Remote Sensing
·
2019
·Vol. 11
·期 9
·1142
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IF 4.118
Shuyue Zhan,Chao Wang,Shuchang Liu,Kaibo Xia,Hui Huang,Xiaorun Li,Caicai Liu,Ren Xu
Automatic colorless floating hazardous and noxious substances (HNS) spill segmentation is an emerging research topic. Xylene is one of the priority HNSs since it poses a high risk of being involved in an HNS incident. This paper presents a novel algorithm for the target enhancement of xylene spills and their segmentation in ultraviolet (UV) images. To improve the contrast between targets and backgrounds (waves, sun reflections, and shadows), we developed a global background suppression (GBS) method to remove the irrelevant objects from the background, which is followed by an adaptive target enhancement (ATE) method to enhance the target. Based on the histogram information of the processed image, we designed an automatic algorithm to calculate the optimal number of clusters, which is usually manually determined in traditional cluster segmentation methods. In addition, necessary pre-segmentation processing and post-segmentation processing were adopted in order to improve the performance. Experimental results on our UV image datasets demonstrated that the proposed method can achieve good segmentation results for chemical spills from different backgrounds, especially for images with strong waves, uneven intensities, and low contrast.Keywords:chemical pollution;image segmentation;UV image;target enhancement;image processing
研究领域:
环境科学
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计算机视觉
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DOI
高影响因子
APPLIED THERMAL ENGINEERING
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2023
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IF 6.4
Li Chen,Liang Wang,Yifei Wang,Haisheng Chen,Peng Hu,Xipeng Lin
In recent decades, unconstrained melting processes with high heat-transfer rates have attracted significant interest. This study provides an in-depth investigation of the characteristics and mechanisms of two unconstrained melting phenomena (contact melting and float melting modes) of n-eicosane inside a sphere subjected to a non-isothermal wall temperature. The effects of the heating time, initial temperature, and heating temperature are studied using an improved image processing method . Quantitative and qualitative comparisons with the two melting modes demonstrate that contact melting within the sphere occurs at a higher rate (up to 2.97%) than float melting. This is because of the long-term contact state of the solid phase change material (PCM) and low thermal resistance across the bottom thin liquid PCM layer. A float melting phenomenon occurs during the melting process is a random event depending on whether the solid PCM can reach the state of force equilibrium during the initial unconstrained melting process. Due to the free motion of the solid PCM and random movement of the floating bubbles, the probability of occurrence of the contact melting mode is greater than that of the float melting mode with a maximum probability of only 46.66%. Finally, dimensional analysis of the experimental data was performed and presented with an overall uncertainty below 15%. The findings can contribute to a better understanding of the float melting and spark the interest of more researchers to further explore the unconstrained melting process.
研究领域:
热物理学
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材料科学
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DOI
高影响因子
ACS Applied Materials & Interfaces
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2022
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IF 10.383
Xi Zhu,Jingang Xu,Xiuhan Guan,Fangsong Li,Kangyue Zhu,Jialiang Huang,Xinglei Cui,Zhi Fang
In recent years, improving the surface properties of large-scale insulation by plasma modification has attracted extensive attention with the development of power systems and high-tech industries. However, routine evaluations of the modification effect and uniformity require complicated tests after the plasma is powered off, which waste a lot of time and cannot regulate the modification effect online. In this study, a novel fluorescence-assisted dielectric barrier discharge (DBD) for fabricating a functional film is developed, and a rapid evaluation method of the modification effect and uniformity is proposed based on fluorescence coloring and image processing technologies. The results show that the addition of an organic fluorescent agent in the DBD with hexamethyldisiloxane (HMDSO) has no negative effect on the plasma discharge and modification effect, and the fluorescence-assisted DBD successfully fabricates the functional films with typical chromogenic groups (N–H and S═O) that exhibit typical fluorescence under an UV lamp. According to image processing and parameter extraction, the plasma-assisted fluorescent film is converted into a two-dimensional (2D) color map with nine color levels, and three characteristic parameters are proposed to evaluate the modification effect rapidly and directly. It shows that the warmer the color of the treated sample, the better the hydrophobicity and electrical insulating properties, where the red region represents the optimally modified surface, while the blue region represents the worst one. The area, shape, and integrity of the plasma modification are clarified quantificationally, which provides the possibility of further online evaluation of the modification effect and uniformity by the plasma treatment.
研究领域:
材料科学
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等离子体技术
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电气工程
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DOI
PubMed
高影响因子
JOURNAL OF CHEMICAL EDUCATION
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2023
·
IF 3
Min Lu,Ziyi Yang,Zihan Ding,Tao Liang
Fluorescence analysis is an important technology, which can obtain the concentration of target analytes through comparing the fluorescence intensity change of a fluorescent sensor. Generally, the fluorescence intensity is measured by a fluorometer. However, many undergraduates have no chance to operate such an expensive instrument. Besides, the students cannot see the fluorescence of the obscured samples during the fluorometer-based detection process. Herein, a flexible experiment for fluorescence analysis was designed using a smartphone for recording fluorescence photographs and the software, Photoshop or ImageJ, for measuring the fluorescence intensity. The change in fluorescence intensity can be directly observed by naked eyes and be quantitatively measured by Photoshop or ImageJ. RhBN, with a simple synthetic process, was chosen as a ClO– sensor, whose fluorescence emission significantly increased in the presence of ClO– because of the strongly enlarged conjugated system. The experimental course designed in this article overcame the requirement of an expensive fluorometer and provided an interesting and simple approach for educating undergraduates about fluorescence analysis and fluorescent sensors.
研究领域:
化学教育
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分析化学
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DOI
高影响因子
SEPARATION AND PURIFICATION TECHNOLOGY
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2023
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IF 8.6
Shuyuan Zhang,Haoran Li,Kai Wang,Tong Qiu
Deep learning has recently been leveraged in the microfluidic research for intelligent image processing. However, it usually requires massive human efforts to label sufficient images for obtaining a precise deep learning model. We herein propose an integrated microfluidic image processing method based on transfer deep learning for the rapid deployment of Mask R-CNN, which is capable of reutilizing models trained in previous microfluidic domains to accelerate the analysis of droplets and bubbles in the images of the target microfluidic domain. The transfer deep learning is validated in the microfluidic research with a constrictive microchannel, which is commonly used to break large droplets or bubbles to enhance emulsification. With only 40 labeled images and about 10 min training, the integrated image processing method achieves precise recognition results for both droplets and bubbles in the microfluidic experiments. Applying the trained Mask R-CNN to unlabeled images, the breakup of droplets is found to be highly dependent on the low flow rate, but the bubble breakup is much easier to happen in the same microfluidic equipment. Critical conditions of droplet breakup and size laws of droplet and bubble are precisely determined based on the recognition results of the trained Mask R-CNN.
研究领域:
微流控
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人工智能
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图像处理
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深度学习
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DOI
高影响因子
JOURNAL OF LUMINESCENCE
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2025
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IF 3.6
Guangliang Lu,Yiping Zhang,Jianlian Song,Yuhan Jing,Xingyu Li,Rao Qin,Da Biao Zhai,Jiangang Jiang,Yiping Wang,He Wang
Traditional methods for latent fingerprint (LFP) detection often suffer from insufficient contrast and background interference, limiting their effectiveness in forensic applications, particularly in complex environments. This study introduces an innovative approach that combines Fe 3+ -doped NaYF 4 :Yb, Er upconversion nanoparticles (UCNPs) with digital image processing technology. By optimizing the Fe 3+ doping concentration (15 % mmol) and synthesis temperature (220 °C), the red emission intensity at 655 nm was enhanced by 13.96 times compared to undoped samples. The amplified red emission originates from energy transfer of | 2 F 7/2 , 4 T 1g ⟩ (Yb 3+ -Fe 3+ dimer) to 4 F 9/2 (Er 3+ ) states, coupled with crystalline field symmetry distortion induced by Fe 3+ codoping. Dynamic studies of 4 S 3/2 and 4 F 9/2 states under 980 nm pulsed laser excitation, alongside diffuse reflectance analysis, corroborate the proposed upconversion mechanism. Additionally, The optimized UCNPs demonstrated high biocompatibility and stability, achieving LFP visualization with contrast ratios up to 85.03 % and structural similarity scores exceeding 91.58 % via MATLAB-based digital image processing, a significant improvement over conventional methods. This work establishes a robust, non-toxic LFP detection system with potential applications in forensic science.
研究领域:
材料科学
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法医学
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光学
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DOI
高影响因子
Nano Energy
·
2024
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IF 16.8
He Shao,Yu Ji,Ruiheng Wang,Jing Liu,Yueqing Li,Benxin Liu,Wen Li,Yannan Xie,Linghai Xie,Johnny C. Ho,Wei Huang,Haifeng Ling
Effectively handling massive information in complex lighting conditions is crucial for security-focused machine vision, as it relies on precise image feature detection and encryption/decryption to ensure integrity and confidentiality. Traditional hardware, primarily based on complementary metal-oxide-semiconductor (CMOS) technology, struggles with the complexity of processing tasks around the clock. To address this challenge, a ternary organic heterostructure visuomorphic phototransistor was tailored for adaptive critical image processing. The light coupling induced by the porous heterostructural layer enhances the light absorption efficiency by 2.5-fold. Our phototransistor exhibits bidirectional photoresponse across the visible and near-infrared (NIR) spectral regions, enabling adaptive edge detection in varying lighting conditions with precision above 85 %. The phototransistor array facilitates image encryption/decryption with a superior accuracy of 12 %/90 % compared to existing counterparts. This ternary organic hetero-integration combines multiple response modes, enabling compact and efficient critical feature processing.
研究领域:
材料科学
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光学工程
·
机器视觉
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产品关联
DOI
高影响因子
SENSORS AND ACTUATORS B-CHEMICAL
·
2025
·
IF 7.7
Xiaotong Li,Yisong Wang,Jiamai Ren,Zeliu Li,Fenglin Zhang,Xinpu Zhang,Wei Peng
Infrared (IR) thermal imaging offers a reliable technique in the field of gas detection, it can convert the invisible IR radiation into a visible IR image based on the temperature difference between the target and the background or the parts of the target, and its gas selectivity mainly depends on the spectral absorption properties of the target gas in IR spectrum . Unfortunately, owing to weak absorption in the IR region , the precise selective detection of hydrogen can therefore be quite challenging by using traditional IR detection methods. To address the limitations of IR thermal imaging technology in hydrogen detection and enhance its hydrogen selectivity, a novel catalytic IR thermal imaging-based hydrogen monitoring platform is proposed and demonstrated. To achieve specific hydrogen selection, a hydrogen-sensitive highly-exothermic mesoporous material , Pt-WO 3 , is designed and prepared, which can be used as highly-active catalysts to specifically activate exothermic reaction between hydrogen and oxygen at room temperature, and a common IR camera can become a hydrogen-selective gas detection device by adding a Pt-WO 3 -based window plate, the IR radiation changes on Pt-WO 3 -based window plate surface caused by exothermic reaction can be rapidly and accurately recognized by using IR camera. Additionally, real-time image processing can be used to create high-resolution IR images from original low-resolution IR images and can promote to further improve the detection accuracy. Through analyzing the performance, it can be concluded that the hydrogen detection platform assembled with a higher Pt-WO 3 mass or density window plate is more sensitive to hydrogen. When the hydrogen concentration rises to 1.6 % and a 2.0 mg and 3 mm coating diameter Pt-WO 3 -coated window plate is selected as a hydrogen selective element, the maximum surface temperature of the hydrogen selective window plate reaches 100.76℃ (which contains the ambient background temperature component), however, this is accompanied by a longer response and recovery time. While a 0.5 mg and 4 mm coating diameter Pt-WO 3 -coated window plate is selected as a hydrogen selective element, and hydrogen concentration is 0.5 %, the response and recovery time of this catalytic IR hydrogen detection system is 17 s and 24 s at room temperature. Experimental results indicate that this catalytic IR thermal imaging-based hydrogen detection scheme has the potential to offer a novel solution in the field of gas monitoring.
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DOI
高影响因子
ANALYTICAL CHEMISTRY
·
2019
·
IF 6.35
Linru Xu,Zhiyuan Cao,Rongliang Ma,Zizheng Wang,Qi Qin,Eryun Liu,Bin Su
Herein we report the combination of enzyme-linked immunoassay and pattern recognition analysis for extracting both chemical and spatial information from latent fingermarks (LFMs). The development approach basically involves two steps, namely, specific recognition of protein and polypeptide secretions present in the ridge residues of LFMs by horseradish peroxidase (HRP)-labeled antibodies and the HRP-catalyzed chemiluminescent (CL) reaction between luminol and H2O2. The emitted light can spatially resolve the ridges, generating a bright image against the dark object surface for visualization of an LFM. Meanwhile, thanks to the molecular specificity of the immunoassay step, the emission also provides us additional information on the existence of specific substances in LFMs. The developed LFMs are further processed by a set of digital image processing procedures. Quantitative analysis based on minutia features shows that even poorly developed fingermarks can be matched successfully. This work offers the promise of facilitating cross-disciplinary studies between data-processing approaches and fingermark development techniques, such as the extraction of more information from LFM evidence, as well as the establishment of evaluation criteria for an enhancement technique.
研究领域:
法医学
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生物技术
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化学
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模式识别
·
图像处理
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DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）