Showing papers in "Infrared Physics & Technology in 2018"

TL;DR: Inspired by the Gaussian-like shape of the small target, the local intensity and gradient map is calculated from the original infrared image in order to enhance the targets and suppress clutters.

TL;DR: In this paper, the authors compared the brightness of IR supercontinuum (SC) sources with those of synchrotron IR beamlines and SiC thermal emitters (Globars).

TL;DR: A multiscale local homogeneity measure (MLHM) for infrared small target detection, which can enhance the performance of IR small target Detection system under the interference of strong noise is presented.

TL;DR: A segmentation technique for thermographic images that consider the spatial information of the pixel contained in the image that could provide a highly reliable clinical decision support and help clinicians in performing a diagnosis using thermography images is proposed.

TL;DR: In this article, the authors reviewed the latest advances of photodetectors which are based on typical 2D materials including graphene, TMDCs, BP, hexagonal boron-nitride (h-BN), as well as new layered-material (GaS, GaSe, InSe).

TL;DR: Results on real low-contrast optical remote sensing images demonstrate that the proposed image enhancement scheme outperforms the state-of-the-arts in terms of brightness improvement, contrast enhancement, and detail preservation.

TL;DR: The experiments indicate that the proposed hybrid fusion method for infrared and visual image by the combination of discrete stationary wavelet transform, discrete cosine transform and local spatial frequency can achieve good fusion effect, and it is more efficient than other conventional image fusion methods.

TL;DR: Results show that the proposed spectral-spatial stacked autoencoders based on low-rank and sparse matrix decomposition (LRaSMD-SSSAE) generally outperforms the comparison algorithms.

TL;DR: A critical review has been made on various conditioning and monitoring techniques and a new method, hot spot indication technique, is discussed, which is inferred that major hotspot locations are appearing at connection lead out.

TL;DR: A novel method combining spectral gradient, SVM and spatial random forest for hyperspectral image classification, which obtains higher classification accuracy in terms of the overall accuracy and Kappa coefficient and consumes lower running time compared with the comparison methods.

TL;DR: A false alarm aware methodology is presented to reduce false alarm rate while the detection rate remains undegraded and multi-scale average absolute gray difference and Laplacian of point spread function are utilized as the cornerstones of the desired algorithm of the proposed methodology.

TL;DR: In this article, two quantitative analysis indicators based on variance, Variance of Original Infrared Image Temperature (VOIIT) and VSMIT, were adopted to find out the abnormity of infrared radiation temperature field during the coal bearing failure process and express the infrared radiation characteristics quantitatively at the time of coal failure.

TL;DR: Simulation results demonstrate that the proposed optimized DT-CWT medical image fusion system based on MCFO and histogram matching achieves a superior performance with better image quality, much more details, which help in a more accurate medical diagnosis.

TL;DR: In this article, a short-wave infrared (SWIR) hyperspectral imaging system combined with chemometric data analysis was used to detect aflatoxin B1 (AFB1) on surfaces of 600 kernels of four yellow maize varieties from different States of the USA (Georgia, Illinois, Indiana and Nebraska).

TL;DR: In this paper, two thermal wave imaging (TWI) techniques, pulsed thermography (PT) and lock-in thermography, were implemented on TBCs with varied topcoat ranging from 0.1mm to 0.6mm.

TL;DR: A swarm intelligence based image fusion technique using discrete cosine transform (DCT) domain is proposed for surveillance application which integrates the infrared image with the visible image for generating a single informative fused image.

TL;DR: In this paper, the authors used a sonochemical method to synthesize Co9S8/PVA, CoxSy/EG and CoxS4/3-MPA nanocomposites.

TL;DR: Two-level denoised framework with singular value decomposition and adaptive wavelet denoising is proposed, and the improved method of selecting singular value based on curvature spectrum is proposed.

TL;DR: The performance of the proposed thermography-based CAD system can help the clinicians to take second opinion on their diagnosis of diabetic foot and achieve maximum accuracy of 89.39%, sensitivity and specificity of 96.97% using only five features.

TL;DR: In this paper, a polarization-independent frequency-selective thermal emitter (FSTE) in the mid-infrared range was proposed and fabricated based on metamaterial absorber.

TL;DR: This paper presents a technique explaining how this approach can be implemented and proposes a system that can help to detect faults in thermal images of electrical installations, and compares the obtained misclassification errors using the proposed method with Fuzzy c means and Ostu.

TL;DR: Wang et al. as discussed by the authors used a convolutional neural network (CNN) to extract spectral features of coal and applied the extreme learning machine algorithm to construct the prediction and analysis model of the spectral feature data.

TL;DR: In this article, the authors studied the mechanism and application of infrared radiation (IR) of concrete failure under loading, and the results showed that the IRT distribution follows the Gaussian distribution and the R2 of Gaussian fitting changes along with the loading time.

TL;DR: In this article, a study was conducted in four agricultural areas in the municipality of Deodapolis (MS), Brazil using non-imaging hyperspectral sensor for spectral analysis of soybean leaves.

TL;DR: After analyzing the experimental comparisons with state-of-the-art fusion methods, the HMSD-GDGF method has obvious advantages in fidelity of salient information, preservation of edge features, and human visual perception.

TL;DR: In this article, a model for improving the temperature accuracy of the non-steady state temperature field based on the emissivity of the infrared image is obtained, and the theoretical formula is obtained.

TL;DR: Wang et al. as mentioned in this paper modified the sample set selection method, Sample set Portioning based on joint x-y distance (SPXY) method, as the weighted SPXY method.

TL;DR: An algorithm combining background suppression processing based on two-dimensional least mean square filter (TDLMS) and target enhancement based on neighborhood gray-scale difference (GSD) is proposed, which can filter out most of the residual background clutter processed by the former such as cloud edge.

TL;DR: A simple and novel method using a top-down strategy based on the object entity, which takes an object and its surrounding points as a unit for analysis and achieves good performance with respect to area-based and object-based quality.