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Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: In this paper, we propose a turbidity-adaptive underwater image enhancement method.Based on the detection result, different image enhancement strategies are designed to deal with the problemThe proposed method is verified by an underwater image dataset captured in real underwater environmentThe result is evaluated by image metrics including structure similarity index measure, underwater colorimage quality evaluation metric, and speeded-up robust features.

Keywords： turbidity     underwater image enhancement     image fusion     underwater robots     visibility    

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Automatic image enhancement by learning adaptive patch selection None

Na LI, Jian ZHAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 206-221 doi: 10.1631/FITEE.1700125

Abstract: However, some photos lack detail and need enhancement.Many existing image enhancement algorithms are patch based and the patch size is always fixed throughoutthe image.In this study, we propose an automatic image enhancement method based on adaptive patch selection usingenhancement algorithms.

Keywords： Image enhancement     Contrast enhancement     Dark channel     Bright channel     Adaptive patch based processing    

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De-scattering and edge-enhancement algorithms for underwater image restoration Research Papers

Pan-wang PAN, Fei YUAN, En CHENG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 862-871 doi: 10.1631/FITEE.1700744

Abstract:

Image restoration is a critical procedure for underwater images, which suffer from serious color deviationRestoration can be divided into two stages: de-scattering and edge enhancement.First, we introduce a multi-scale iterative framework for underwater image de-scattering, where a convolutional

Keywords： Image de-scattering     Edge enhancement     Convolutional neural network     Non-subsampled contourlet transform    

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Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationBy compositing the gradient of each image, gradient-based weights are obtained, with which compressiveFinally, inverse transformation is applied to the coefficients derived from fusion, and the fused imageIn addition, different image fusion application scenarios are applied to explore the scenario adaptability

Keywords： Compressive sensing (CS)     Image fusion     Gradient-based image fusion     CS-based image fusion    

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Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 77-82 doi: 10.1007/s11465-009-0013-1

Abstract: An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paper, where the shrinkage of a steel plate is measured when temperature drops. First, images are picked up by an imaging system; a method of regional edge detection based on grayscales’ sudden change is then applied to detect the edges of the steel plate; finally, pixel coordinates of the edge position are transformed to physical coordinates through calibration parameters. The experiment shows that the real-time, high precision, and non-contact measurement of the steel plate’s edge position under high temperature can be realized using the imaging measurement method established in this paper.

Keywords： thermal expansion     image measurement     edge detection     image calibration    

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Performance enhancement of partially shaded solar PV array using novel shade dispersion technique

Namani RAKESH,T. Venkata MADHAVARAM

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 227-239 doi: 10.1007/s11708-016-0405-y

Abstract: Solar photo voltaic array (SPVA) generates a smaller amount of power than the standard rating of the panel due to the partial shading effect. Since the modules of the arrays receive different solar irradiations, the P-V characteristics of photovoltaic (PV) arrays contain multiple peaks or local peaks. This paper presents an innovative method (magic square) in order to increase the generated power by configuring the modules of a shaded photovoltaic array. In this approach, the physical location of the modules in the total cross tied (TCT) connected in the solar PV array is rearranged based on the magic square arrangement pattern. This connection is done without altering any electrical configurations of the modules in the PV array. This method can distribute the shading effect over the entire PV array, without concentrating on any row of modules and can achieve global peaks. For different types of shading patterns, the output power of the solar PV array with the proposed magic square configuration is compared with the traditional configurations and the performance is calculated. This paper presents a new reconfiguration technique for solar PV arrays, which increases the PV power under different shading conditions. The proposed technique facilitates the distribution of the effect of shading over the entire array, thereby, reducing the mismatch losses caused by partial shading. The theoretical calculations are tested through simulations in Matlab/Simulink to validate the results. A comparison of power loss for different types of topologies under different types of shading patterns for a 4 × 4 array is also explained.

Keywords： photovoltaic cells     mismatch loss     shading patterns     partial shading     magic square     power enhancement     global    

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Revolutionizing heat transport enhancement with liquid metals: Proposal of a new industry of water-free

Haiyan LI, Jing LIU

Frontiers in Energy 2011, Volume 5, Issue 1,   Pages 20-42 doi: 10.1007/s11708-011-0139-9

Abstract: Water is perhaps the most widely adopted working fluid in conventional industrial heat transport engineering. However, it may no longer be the best option today due to the increasing scarcity of water resources. Furthermore, the wide variations in water supply throughout the year and across different geographic regions also makes it harder to easily access. To address this issue, finding new alternatives to replace water-based technologies is imperative. In this paper, the concept of a water-free heat exchanger is proposed and comprehensively analyzed for the first time. The liquid metal with a low melting point is identified as an ideal fluid that can flexibly be used within a wide range of working temperatures. Some liquid metals and their alloys, which have previously received little attention in thermal management areas, are evaluated. With superior thermal conductivity, electromagnetic field drivability, and extremely low power consumption, liquid metal coolants promise many opportunities for revolutionizing modern heat transport processes: serving as heat transport fluid in industries, administrating thermal management in power and energy systems, and innovating enhanced cooling in electronic or optical devices. Furthermore, comparative analyses are conducted to understand the technical barriers encountered by advanced water-based heat transfer strategies and clarify this new frontier in heat-transport study. In addition, the unique merits of liquid metals that could lead to innovative heat exchanger technologies are evaluated comprehensively. A few promising industrial situations, such as heat recovery, chip cooling, thermoelectricity generation, and military applications, where liquid metals could play irreplaceable roles, were outlined. The technical challenges and scientific issues thus raised are summarized. With their evident ability to meet various critical requirements in modern advanced energy and power industries, liquid metal-enabled technologies are expected to usher a new and global era of water-free heat exchangers.

Keywords： heat exchanger     liquid metal     water resource     heat transport enhancement     coolant     thermal management     process    

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Numerical investigation and analysis of heat transfer enhancement in channel by longitudinal vortex based

TAO Wenquan, WU Junmei

Frontiers in Energy 2008, Volume 2, Issue 1,   Pages 71-78 doi: 10.1007/s11708-008-0001-x

Abstract: It is found that the inherent mechanism of the heat transfer enhancement by longitudinal vortex can be

Keywords： inherent mechanism     integral     surface     rectanglar     longitudinal    

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Effect of bond enhancement using carbon nanotubes on flexural behavior of RC beams strengthened with

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 131-143 doi: 10.1007/s11709-021-0787-8

Abstract: The enhancement was more pronounced in the case of U-shape than in the case of use of sheet strip coversThe flexural enhancement of RC beams by strengthening with CNTs-modified CFRP decreased with increasing

Keywords： RC beams     flexural     strengthening     CFRP     CNTs     finite element    

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Numerical analysis on heat transfer enhancement by longitudinal vortex based on field synergy principle

WU Junmei, TAO Wenquan

Frontiers in Energy 2007, Volume 1, Issue 3,   Pages 365-369 doi: 10.1007/s11708-007-0055-1

Abstract: analyzed on the basis of the field synergy principle to explain the inherent mechanism of heat transfer enhancementIn addition, the computational evaluations indicate that the heat transfer enhancement of delta wingletThe heat transfer enhancement of the delta winglet pairs with an attack angle of 45º is larger than thatThe heat transfer enhancement under identical pumping power condition for the attack angle of 30º is

Keywords： computational     inherent mechanism     staggered     decrease     transfer surface    

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Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 829-837 doi: 10.1631/FITEE.1500045

Abstract: Geometric changes present a number of difficulties in deformable image registration.developed an innovative model which significantly reduces the side effects of geometric changes in imageWe show that the transformation estimated from our model is able to reconstruct the target image with

Keywords： Geometric changes     Image registration     Sparsity     Traumatic brain injury (TBI)    

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Wavelet-based iterative data enhancement for implementation in purification of modal frequency for extremely

Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI, Soheil MOHAMMADI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 446-472 doi: 10.1007/s11709-019-0605-8

Abstract: The main purpose of the present study is to enhance high-level noisy data by a wavelet-based iterative filtering algorithm for identification of natural frequencies during ambient wind vibrational tests on a petrochemical process tower. Most of denoising methods fail to filter such noise properly. Both the signal-to-noise ratio and the peak signal-to-noise ratio are small. Multiresolution-based one-step and variational-based filtering methods fail to denoise properly with thresholds obtained by theoretical or empirical method. Due to the fact that it is impossible to completely denoise such high-level noisy data, the enhancing approach is used to improve the data quality, which is the main novelty from the application point of view here. For this iterative method, a simple computational approach is proposed to estimate the dynamic threshold values. Hence, different thresholds can be obtained for different recorded signals in one ambient test. This is in contrast to commonly used approaches recommending one global threshold estimated mainly by an empirical method. After the enhancements, modal frequencies are directly detected by the cross wavelet transform (XWT), the spectral power density and autocorrelation of wavelet coefficients. Estimated frequencies are then compared with those of an undamaged-model, simulated by the finite element method.

Keywords： ambient vibration test     high level noise     iterative signal enhancement     wavelet     cross and autocorrelation    

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A building unit decomposition model for energy leakage by infrared thermography image analysis

Yan SU, Fangjun HONG, Lianjie SHU

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 901-921 doi: 10.1007/s11708-020-0679-y

Abstract: A quantitative energy leakage model was developed based on the thermography image data measured for both

Keywords： heat conductivity     heat coefficient     heat &fllig     ux     infrared thermography     thermal image    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: The digital image correlation (DIC) technology was utilized to collect vibration information of an actual

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Three-dimensional reconstruction of light microscopy image sections: present and future

Yuzhen Wang,Rui Xu,Gaoxing Luo,Jun Wu

Frontiers of Medicine 2015, Volume 9, Issue 1,   Pages 30-45 doi: 10.1007/s11684-014-0337-z

Abstract:

Three-dimensional (3D) image reconstruction technologies can reveal previously hidden microstructures

Keywords： microtomy     3D imaging     computer-assisted image processing     3D printing     tissue scaffold    

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Title Author Date Type Operation

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

Automatic image enhancement by learning adaptive patch selection

Na LI, Jian ZHAN

Journal Article

De-scattering and edge-enhancement algorithms for underwater image restoration

Pan-wang PAN, Fei YUAN, En CHENG

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Journal Article

Performance enhancement of partially shaded solar PV array using novel shade dispersion technique

Namani RAKESH,T. Venkata MADHAVARAM

Journal Article

Revolutionizing heat transport enhancement with liquid metals: Proposal of a new industry of water-free

Haiyan LI, Jing LIU

Journal Article

Numerical investigation and analysis of heat transfer enhancement in channel by longitudinal vortex based

TAO Wenquan, WU Junmei

Journal Article

Effect of bond enhancement using carbon nanotubes on flexural behavior of RC beams strengthened with

Journal Article

Numerical analysis on heat transfer enhancement by longitudinal vortex based on field synergy principle

WU Junmei, TAO Wenquan

Journal Article

Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Journal Article

Wavelet-based iterative data enhancement for implementation in purification of modal frequency for extremely

Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI, Soheil MOHAMMADI

Journal Article

A building unit decomposition model for energy leakage by infrared thermography image analysis

Yan SU, Fangjun HONG, Lianjie SHU

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Three-dimensional reconstruction of light microscopy image sections: present and future

Yuzhen Wang,Rui Xu,Gaoxing Luo,Jun Wu

Journal Article