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Journal articles on the topic 'Re-identification and image enhancement'

Author: Grafiati

Published: 29 June 2021

Last updated: 18 February 2022

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1

Xiao, Ruoxiu, Jian Yang, Mahima Goyal, Yue Liu, and Yongtian Wang. "Automatic Vasculature Identification in Coronary Angiograms by Adaptive Geometrical Tracking." Computational and Mathematical Methods in Medicine 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/796342.

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As the uneven distribution of contrast agents and the perspective projection principle of X-ray, the vasculatures in angiographic image are with low contrast and are generally superposed with other organic tissues; therefore, it is very difficult to identify the vasculature and quantitatively estimate the blood flow directly from angiographic images. In this paper, we propose a fully automatic algorithm named adaptive geometrical vessel tracking (AGVT) for coronary artery identification in X-ray angiograms. Initially, the ridge enhancement (RE) image is obtained utilizing multiscale Hessian in

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Moler, Emilce, Virginia Ballarin, Franco Pessana, Sebastian Torres, and Dario Olmo. "Fingerprint Identification Using Image Enhancement Techniques." Journal of Forensic Sciences 43, no. 3 (1998): 16202J. http://dx.doi.org/10.1520/jfs16202j.

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Wang, Yifeng, Zhijiang Zhang, Ning Zhang, and Dan Zeng. "Attention Modulated Multiple Object Tracking with Motion Enhancement and Dual Correlation." Symmetry 13, no. 2 (2021): 266. http://dx.doi.org/10.3390/sym13020266.

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The one-shot multiple object tracking (MOT) framework has drawn more and more attention in the MOT research community due to its advantage in inference speed. However, the tracking accuracy of current one-shot approaches could lead to an inferior performance compared with their two-stage counterparts. The reasons are two-fold: one is that motion information is often neglected due to the single-image input. The other is that detection and re-identification (ReID) are two different tasks with different focuses. Joining detection and re-identification at the training stage could lead to a subopti

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Gupta, S., J. M. Solomon, T. A. Tasciyan, et al. "Interferon-beta-1b effects on re-enhancing lesions in patients with multiple sclerosis." Multiple Sclerosis Journal 11, no. 6 (2005): 658–68. http://dx.doi.org/10.1191/1352458505ms1229oa.

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Interferon-beta (IFNβ) reduces the number and load of new contrast-enhancing lesions (CELs) in patients with multiple sclerosis (MS). However, the ability of IFNβ to reduce lesion sizes and re-enhancements of pre-existing CELs has not been examined extensively. Activity of contrast re-enhancing lesions (Re-CELs) and contrast single-enhancing lesions (S-CELs) were monitored in ten patients with relapsingremitting (RR) MS. These patients underwent monthly post-contrast magnetic resonance imaging (MRIs) for an 18-month natural history phase and an 18-month therapy phase with subcutaneous IFNβ-1b,

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Yan, Lingyu, Jiarun Fu, Chunzhi Wang, Zhiwei Ye, Hongwei Chen, and Hefei Ling. "Enhanced network optimized generative adversarial network for image enhancement." Multimedia Tools and Applications 80, no. 9 (2021): 14363–81. http://dx.doi.org/10.1007/s11042-020-10310-z.

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AbstractWith the development of image recognition technology, face, body shape, and other factors have been widely used as identification labels, which provide a lot of convenience for our daily life. However, image recognition has much higher requirements for image conditions than traditional identification methods like a password. Therefore, image enhancement plays an important role in the process of image analysis for images with noise, among which the image of low-light is the top priority of our research. In this paper, a low-light image enhancement method based on the enhanced network mo

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DZULKIFLI, FAHMI AKMAL. "Identification of Suitable Contrast Enhancement Technique for Improving the Quality of Astrocytoma Histopathological Images." ELCVIA Electronic Letters on Computer Vision and Image Analysis 20, no. 1 (2021): 84–98. http://dx.doi.org/10.5565/rev/elcvia.1256.

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Contrast enhancement plays an important part in image processing. In histology, the application of a contrast enhancement technique is necessary since it can help pathologists in diagnosing the sample slides by increasing the visibility of the morphological and features of cells in an image. Various techniques have been proposed to enhance the contrast of microscopic images. Thus, this paper aimed to study the effectiveness of contrast enhancement techniques in enhancing the Ki67 images of astrocytoma. Three contrast enhancement techniques consist of contrast stretching, histogram equalization

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Aijing, Luo, and Yin Jin. "Research on an Improved Medical Image Enhancement Algorithm Based on P-M Model." Open Biomedical Engineering Journal 9, no. 1 (2015): 209–13. http://dx.doi.org/10.2174/1874120701509010209.

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Image enhancement can improve the detail of the image to achieve the purpose of the identification of the image. At present, the image enhancement is widely used in medical images, which can help doctor’s diagnosis. IEABPM (Image Enhancement Algorithm Based on P-M Model) is one of the most common image enhancement algorithms. However, it may cause the loss of the texture details and other features. To solve the problems, this paper proposes an IIEABPM (Improved Image Enhancement Algorithm Based on P-M Model). The simulation demonstrates that IIEABPM can effectively solve the problems of IEABPM

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Stankevich, Sergey, Oleh Maslenko, and Vitalii Andronov. "Neural network technology adaptation to the small-size objects identification in satellite images of insufficient resolution within the graphic reference images database." Ukrainian journal of remote sensing, no. 27 (December 10, 2020): 13–17. http://dx.doi.org/10.36023/ujrs.2020.27.175.

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A novel flowchart for small-size objects identification in satellite images of insufficient resolution within the graphic reference images database using neural network technology based on compromise contradiction, i.e. simultaneously the resolution enhancement of the object segment of input image and the resolution reduction of the reference image to joint resolution through the simulation of the imaging system has been proposed. This is necessary due to a significant discrepancy between the resolutions of the input image and the graphic reference images used for identification. The required

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AILISTO, HEIKKI, MIKKO LINDHOLM, and PAULI TIKKANEN. "A REVIEW OF FINGERPRINT IMAGE ENHANCEMENT METHODS." International Journal of Image and Graphics 03, no. 03 (2003): 401–24. http://dx.doi.org/10.1142/s0219467803001081.

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Automatic fingerprint identification methods have become the most widely used technology in rapidly growing bioidentification applications. In this paper, different image enhancement approaches presented in the scientific literature are reviewed. Fingerprint verification can be divided into image acquisition, enhancement, feature extraction and matching steps. The enhancement step is needed to improve image quality prior to feature extraction. By far the most common approach relies on the filtering of the fingerprint images with filters adapted to local ridge orientation, but alternative appro

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Kim, Changi, Junghun Han, Giwon Yoon, Dongjin Kim, and Sejung Yang. "Novel Framework for Knee Arthroscopic Image Enhancement." Journal of Medical Imaging and Health Informatics 10, no. 6 (2020): 1459–65. http://dx.doi.org/10.1166/jmihi.2020.3070.

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An arthroscope is a tool for allowing an endoscope to be inserted directly into the inside of a joint to observe its structure, in contrast to X-rays, computed tomography, and magnetic resonance imaging, which directly capture pictures of a joint. Therefore, it can effectively treat joint diseases by identifying causes of pain that are not found by, e.g., computed tomography and magnetic resonance imaging. However, joint endoscopy has a very high cost, is very burdensome for patients, and has problems in regards to infection when being re-used. Thus, we developed disposable joint endoscopic ca

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Olatubosun, Olabode, and Fasoranbaku O.A. "Fingerprint Image Enhancement Algorithms for Identification in an Electoral Process." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 2 (2014): 5453–63. http://dx.doi.org/10.24297/ijct.v14i2.2090.

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Electoral process in many developing nations is characterized with fraud and failure as a result of inefficient and effective system of voterâ€™s register and voting system. This usually leads to crises. This paper presents enhancement algorithms of Denoising fingerprint images using Moving Average Filter, the Segmentation of Fingerprint using Chen algorithm, Gradient-Based Local Ridge Orientation, Binarization using Otsu Algorithm, Thinning of Fingerprint Image using the linear interactive approach and Minutiae Extraction using the minutiae location and minutiae angles for the purpose of veri

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Rasool Reddy, K., Dr K.NagaPrakash, Dr K.Prasanthi Jasmime, and M. Tulasidas. "Satellite Image Resolution Enhancement based on Dual-Domain Filtering." International Journal of Engineering & Technology 7, no. 2.7 (2018): 466. http://dx.doi.org/10.14419/ijet.v7i2.7.10864.

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Satellite images place vital role in agriculture, Disaster mitigation and geosciences applications. Satellite images include both spatial and temporal resolution, in that spatial resolution is influence the accuracy of ground objects. The main idea of this work is to enhance the resolution of satellite images. In this work, a dual domain filtering based approach is introduced for resolution enhancement (RE). Initially, the source image is subdivided into approximation and detail coefficients by Stationary Wavelet transform (SWT). The detail coefficients are interpolated based on bi-linear inte

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P, Pakutharivu, and Srinath M. V. "Analysis of Fingerprint Image Enhancement using Gabor Filtering with Different Orientation Field Values." Indonesian Journal of Electrical Engineering and Computer Science 5, no. 2 (2017): 427. http://dx.doi.org/10.11591/ijeecs.v5.i2.pp427-432.

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<p>Fingerprint image enhancement is the key process in IAFIS systems. In order to reduce false identification ratio and to supply good fingerprint images to IAFIS systems for exact identification, fingerprint images are generally enhanced. A filtering process tries to filter out the noise from the input image, and emphasize on low, high and directional spatial frequency components of an image. This paper presents an experimental summary of enhancing fingerprint images using Gabor filters. Frequency, width and window domain filter ranges are fixed. The orientation angle alone is modified

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Lazarov, A., and C. Minchev. "ISAR Image Recognition Algorithm and Neural Network Implementation." Cybernetics and Information Technologies 17, no. 4 (2017): 183–99. http://dx.doi.org/10.1515/cait-2017-0048.

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AbstractThe image recognition and identification procedures are comparatively new in the scope of ISAR (Inverse Synthetic Aperture Radar) applications and based on specific defects in ISAR images, e.g., missing pixels and parts of the image induced by target’s aspect angles require preliminary image processing before identification. The present paper deals with ISAR image enhancement algorithms and neural network architecture for image recognition and target identification. First, stages of the image processing algorithms intended for image improving and contour line extraction are discussed.

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Wu, Yin Chao, Seong Jin Noh, and Suyun Ham. "Identification of Inundation Using Low-Resolution Images from Traffic-Monitoring Cameras: Bayes Shrink and Bayesian Segmentation." Water 12, no. 6 (2020): 1725. http://dx.doi.org/10.3390/w12061725.

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This study presents a comparative assessment of image enhancement and segmentation techniques to automatically identify the flash flooding from the low-resolution images taken by traffic-monitoring cameras. Due to inaccurate equipment in severe weather conditions (e.g., raindrops or light refraction on camera lenses), low-resolution images are subject to noises that degrade the quality of information. De-noising procedures are carried out for the enhancement of images by removing different types of noises. For the comparative assessment of de-noising techniques, the Bayes shrink and three conv

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Sundaram, M., K. Ramar, N. Arumugam, and G. Prabin. "EFFICIENT EDGE EMPHASIZED MAMMOGRAM IMAGE ENHANCEMENT FOR DETECTION OF MICROCALCIFICATION." Biomedical Engineering: Applications, Basis and Communications 26, no. 05 (2014): 1450056. http://dx.doi.org/10.4015/s1016237214500562.

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An efficient detection of microcalcification based on edge enhancement using discrete wavelet transform (DWT) is presented in this paper. The proposed method is implemented by separating the wavelet coefficients into weak and strong edge coefficients for effective detection of microcalcification. Identification of strong and weak edge locations corresponding to microcalcification is obtained by allowing the input image through appropriate filters before wavelet decomposition. Before reconstructing the output image, the strong and weak edge coefficients are modified based on the energy of the c

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Lin, Huei-Yung, Li-Qi Chen, and Min-Liang Wang. "Improving Discrimination in Color Vision Deficiency by Image Re-Coloring." Sensors 19, no. 10 (2019): 2250. http://dx.doi.org/10.3390/s19102250.

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People with color vision deficiency (CVD) cannot observe the colorful world due to the damage of color reception nerves. In this work, we present an image enhancement approach to assist colorblind people to identify the colors they are not able to distinguish naturally. An image re-coloring algorithm based on eigenvector processing is proposed for robust color separation under color deficiency transformation. It is shown that the eigenvector of color vision deficiency is distorted by an angle in the λ , Y-B, R-G color space. The experimental results show that our approach is useful for the rec

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Hu, Xiao Lang. "Study on Terminal Identification Enhancement Method of Track and Field Using Digital X-Ray Photography Images." Applied Mechanics and Materials 602-605 (August 2014): 2084–88. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2084.

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Due to the development of image segmentation and reconstruction technology, it provides a larger space for development of the image enhancement technology. Under the promoting of the image processing calculation, the capture and recognition function of digital X-ray photography technology are stronger, and the image processing precision is higher. Based on the variation principle, this paper uses the function approximation to improve the X-ray photography image processing technology, and obtains the new boundary value reconstruction condition of X-ray photography. In order to verify the effect

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Priya Henry, Asha Gnana, and Anitha Jude. "Convolutional neural-network-based classification of retinal images with different combinations of filtering techniques." Open Computer Science 11, no. 1 (2021): 480–90. http://dx.doi.org/10.1515/comp-2020-0177.

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Abstract Retinal image analysis is one of the important diagnosis methods in modern ophthalmology because eye information is present in the retina. The image acquisition process may have some effects and can affect the quality of the image. This can be improved by better image enhancement techniques combined with the computer-aided diagnosis system. Deep learning is one of the important computational application techniques used for a medical imaging application. The main aim of this article is to find the best enhancement techniques for the identification of diabetic retinopathy (DR) and are t

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Sardorbek, Numonov, Bong-Soo Sohn, and Byung-Woo Hong. "Coherence Enhancement Based on Recursive Anisotropic Scale-Space with Adaptive Kernels." Applied Sciences 10, no. 15 (2020): 5079. http://dx.doi.org/10.3390/app10155079.

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The reduction of unnecessary details is important in a variety of imaging tasks. Image denoising can be generally formulated as a diffusion process that iteratively suppresses undesirable image features with high variance. We propose a recursive diffusion process that simultaneously computes the local geometrical property of the image features and determines the size and shape of the diffusion kernel, leading to an anisotropic scale-space. In the construction of the proposed anisotropic scale-space, image features due to undesirable noise are suppressed while significant geometrical image feat

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Saxena, Kumud. "Wavelets assisted fuzzy edge refinement." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 2 (2014): 5409–18. http://dx.doi.org/10.24297/ijct.v14i2.2063.

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Image enhancement is a crucial pre-processing step to be performed for various applications where object recognition, identification, verification is required. Among various image enhancement methods, edge enhancement has taken its importance as it is widely used for understanding features in an image. Several types of edge detectors are available for certain types of edges. If edges are enhanced and clear, the reliability for feature extraction increases. The Quality of edge detection can be measured from several criteria objectively. In this paper, a novel algorithm for edge enhancement has

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Kim, Ji Seong, Doo Soo Chang, and Yong Suk Choi. "Enhancement of Multi-Target Tracking Performance via Image Restoration and Face Embedding in Dynamic Environments." Applied Sciences 11, no. 2 (2021): 649. http://dx.doi.org/10.3390/app11020649.

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In this paper, we propose several methods to improve the performance of multiple object tracking (MOT), especially for humans, in dynamic environments such as robots and autonomous vehicles. The first method is to restore and re-detect unreliable results to improve the detection. The second is to restore noisy regions in the image before the tracking association to improve the identification. To implement the image restoration function used in these two methods, an image inference model based on SRGAN (super-resolution generative adversarial networks) is used. Finally, the third method include

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Kim, Ji Seong, Doo Soo Chang, and Yong Suk Choi. "Enhancement of Multi-Target Tracking Performance via Image Restoration and Face Embedding in Dynamic Environments." Applied Sciences 11, no. 2 (2021): 649. http://dx.doi.org/10.3390/app11020649.

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In this paper, we propose several methods to improve the performance of multiple object tracking (MOT), especially for humans, in dynamic environments such as robots and autonomous vehicles. The first method is to restore and re-detect unreliable results to improve the detection. The second is to restore noisy regions in the image before the tracking association to improve the identification. To implement the image restoration function used in these two methods, an image inference model based on SRGAN (super-resolution generative adversarial networks) is used. Finally, the third method include

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Jain, Rajneesh, Sheelesh Kr Sharma, and Pankaj Agrawal. "Performance Analysis of Fingerprint Based Image Enhancement and Minutiae Extraction." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 5 (2018): 43. http://dx.doi.org/10.23956/ijarcsse.v8i5.663.

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Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations and bifurcations. In this work we have propose a method for fingerprint image enhancement. Using histogram equalization over filtering and then minutia are calculated. The results achieved are compared with those obtained through some other methods. The Results show some improvement in the minutiae extraction in terms of quantity.

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Xiong, Jianbin, Dezheng Yu, Qi Wang, et al. "Application of Histogram Equalization for Image Enhancement in Corrosion Areas." Shock and Vibration 2021 (January 22, 2021): 1–13. http://dx.doi.org/10.1155/2021/8883571.

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In this paper, an image enhancement algorithm is presented for identification of corrosion areas and dealing with low contrast present in shadow areas of an image. This algorithm uses histogram equalization processing under the hue-saturation-intensity model. First of all, an etched image is transformed from red-green-blue color space to hue-saturation-intensity color space, and only the luminance component is enhanced. Then, part of the enhanced image is combined with the original tone component, followed by saturation and conversion to red-green-blue color space to obtain the enhanced corros

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Pandit, S. M., and G. A. Joshi. "Image Enhancement: A Data Dependent Systems Approach." Journal of Engineering for Industry 116, no. 2 (1994): 247–52. http://dx.doi.org/10.1115/1.2901937.

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A new image enhancement scheme based on a mathematical model obtained by data dependent systems (DDS) approach is described in this paper. A separable 2-D AR model is fitted to the image. Analysis of this model leads to the identification of modes corresponding to dominant physical features. Other intrinsic modes, inherent to the image, are highly damped and constitute difficult-to-interpret local image behavior. Although exerting a minor influence on the image intensities, they hinder a clear perception of the image. In order to enhance the image, these modes must be filtered out. ARMA image

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Zhan, Xiao Si, and Ya Yun Chu. "Two-Dimensional Sine Filter Fingerprint Enhancement Algorithm Based on Block Level." Applied Mechanics and Materials 88-89 (August 2011): 596–603. http://dx.doi.org/10.4028/www.scientific.net/amm.88-89.596.

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Enhancing low-quality fingerprint image is the effective method for improving the accuracy of minutia extraction and performance of the automatic fingerprint identification system. Fingerprint image is one kind of regular texture image in nature. To design two-dimensional sinusoidal surface model which accorded with the ridge gray distribution rule and propose the fingerprint image enhancement algorithm based on the two-dimensional sinusoidal surface model after analyzing the basic character of the fingerprint image. The experimental results indicate that the fingerprint image enhancement algo

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Muijs, Remco, Johan O. Robertsson, and Klaus Holliger. "Prestack depth migration of primary and surface-related multiple reflections: Part II — Identification and removal of residual multiples." GEOPHYSICS 72, no. 2 (2007): S71—S76. http://dx.doi.org/10.1190/1.2424544.

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Depth imaging using primary and multiple reflections (DIPMR), as described in Part I of this study, allows subsurface information carried by multiple reflections to be utilized. In the presence of strong lateral heterogeneity, however, the migration results may be distorted by artifacts originating from reflections associated with layers above the imaging plane that are commonly referred to as crosstalk. We present an image enhancement procedure that allows such artifacts to be effectively suppressed by predicting the initial crosstalk in a second migration phase. This second migration uses re

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Devi, R., and P. Sujatha. "Enhancement of fingerprint image using wiener filter." International Journal of Engineering & Technology 7, no. 1.1 (2017): 206. http://dx.doi.org/10.14419/ijet.v7i1.1.9456.

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A fingerprint is one of the most vital Biometric traits used for Personal Identification. To identify and match the fingerprint accurately, it has to be enhanced efficiently. In this paper, an efficient fingerprint enhancement technique is adopted and compared with the existing methods. The proposed methodology consists of three Phases. In the first phase, the fingerprint is subjected to the de-noising process. After adding noise such as salt and pepper, Gaussian and speckle noise, the image is blurred. In the second phase, the fingerprint is filtered with Wiener filter and then de-blurred. In

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Wu, Li Ming, Shi Long Yang, Fu Jian Li, Xin Luo, and Bing Jing Li. "Adaptive Video Image Enhancement Algorithm Based on FPGA Design." Key Engineering Materials 620 (August 2014): 516–21. http://dx.doi.org/10.4028/www.scientific.net/kem.620.516.

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Aiming at the problem of image quality degradation due to scenes change rapidly, an image enhancement algorithm based on scene intelligent identification is proposed. The algorithm sharpen the image detail by using Laplace operator. Determines the change image scene according to the gray value, constructs different gray mapping function, and adjusts gray value range of image adaptively to improve the contrast ratio of image enhancement. By using parallel processing, the algorithm has high execution efficiency, so it can meet the real-time processing of HD video. Experimental result shows that

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Zhang, Shu Wen, Xiao Ning Zhang, Zhi Yong Wu, and Li Wan Shi. "Research on Asphalt Mixture Injury Digital Image Based on Enhancement and Segmentation Processing Technology." Applied Mechanics and Materials 470 (December 2013): 832–37. http://dx.doi.org/10.4028/www.scientific.net/amm.470.832.

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In order to visually observe the damage evolution of the asphalt mixture, and analyze the damage evolution accurately and quantitatively, the CT image of asphalt mixture image was processed for image enhancing and segmenting, the entire or partial image features can be effectively improved. The dynamics gray-scale range of the image was adjusted by the histogram equalization and provision. Image gray-scale transformation is enhanced by using Matlab software. At the same time, when the algebraic operations and noise filtering is used to process, the mixture image segmentation and boundary ident

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Bernacki, Krzysztof, Tomasz Moroń, and Adam Popowicz. "Modified Distance Transformation for Image Enhancement in NIR Imaging of Finger Vein System." Sensors 20, no. 6 (2020): 1644. http://dx.doi.org/10.3390/s20061644.

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Most of the current image processing methods used in the near-infrared imaging of finger vascular system concentrate on the extraction of internal structures (veins). In this paper, we propose a novel approach which allows to enhance both internal and external features of a finger. The method is based on the Distance Transformation and allows for selective extraction of physiological structures from an observed finger. We evaluate the impact of its parameters on the effectiveness of the already established processing pipeline used for biometric identification. The new method was compared with

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Pourasad, Yaghoub, and Fausto Cavallaro. "A Novel Image Processing Approach to Enhancement and Compression of X-ray Images." International Journal of Environmental Research and Public Health 18, no. 13 (2021): 6724. http://dx.doi.org/10.3390/ijerph18136724.

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At present, there is an increase in the capacity of data generated and stored in the medical area. Thus, for the efficient handling of these extensive data, the compression methods need to be re-explored by considering the algorithm’s complexity. To reduce the redundancy of the contents of the image, thus increasing the ability to store or transfer information in optimal form, an image processing approach needs to be considered. So, in this study, two compression techniques, namely lossless compression and lossy compression, were applied for image compression, which preserves the image quality

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Wang, Zhiyou, Xiaoqing Huang, and Zhiqiang Cheng. "Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis." Biosensors 8, no. 3 (2018): 85. http://dx.doi.org/10.3390/bios8030085.

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An automatic spot identification method is developed for high throughput surface plasmon resonance imaging (SPRi) analysis. As a combination of video accessing, image enhancement, image processing and parallel processing techniques, the method can identify the spots in SPRi images of the microarray from SPRi video data. In demonstrations of the method, SPRi video data of different protein microarrays were processed by the method. Results show that our method can locate spots in the microarray accurately regardless of the microarray pattern, spot-background contrast, light nonuniformity and spo

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Cho, Hyun, Sung Jin Song, and Hak Joon Kim. "Enhancement of Ultrasonic C-Scan Images for Inspection of Multi-Layered Composite Panels." Key Engineering Materials 326-328 (December 2006): 713–16. http://dx.doi.org/10.4028/www.scientific.net/kem.326-328.713.

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One of the serious problems that make the flaw identification in a multi-layered thick composite panel more difficult is the interference effect of the upper layer. To take care of such a problem, here we propose an image enhancement approach that can get rid of such an interference effect to ultrasonic C-scan images by a normalization of the acquired signals by a reference signals, and demonstrate its performance in the experiments. Specifically, three specimens with artificial flaws are prepared and ultrasonic C-scan images are acquired experimentally to eliminate the undesired interference

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Raicevic, Andjelija, and Brankica Popovic. "An effective and robust fingerprint enhancement by adaptive filtering in frequency domain." Facta universitatis - series: Electronics and Energetics 22, no. 1 (2009): 91–104. http://dx.doi.org/10.2298/fuee0901091r.

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Extensive research of automatic fingerprint identification system (AFIS), although started in the early 1960s, has not yet give the answer to reliable fingerprint recognition problem. A critical step for AFIS accuracy is reliable extraction of features (mostly minutiae) from the input fingerprint image. However, the effectiveness of a feature extraction relies heavily on the quality of the input fingerprint images. This leads to the incorporation of a fingerprint enhancement module in fingerprint recognition system to make the system robust with respect to the quality of input fingerprint imag

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Li, Mu, Tao Li, Lei Zheng, and Fen Xu. "Research on Infrared Temperature Measurement Image Enhancement Technology of Transmission Line." E3S Web of Conferences 257 (2021): 02048. http://dx.doi.org/10.1051/e3sconf/202125702048.

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It is one of the important means to ensure the safety of transmission line and its equipment to realize the rapid identification and accurate diagnosis of visual defect fault points of transmission line. In this paper, an adaptive infrared image enhancement algorithm is proposed based on the research of infrared image features and various image enhancement algorithms. The algorithm first filters the infrared image to remove the random noise and improve the signal-to-noise ratio of the image; then, based on the histogram analysis of the infrared image, adaptively selects the upper and lower thr

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Mahalakshmi, T., and Alluri Sreenivas. "Adaptive Filter with Type-2 Fuzzy System and Optimization-Based Kernel Interpolation for Satellite Image Denoising." Computer Journal 63, no. 6 (2020): 913–26. http://dx.doi.org/10.1093/comjnl/bxz168.

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Abstract Satellite image denoising is a recent trend in image processing, but faces many challenges due to the environmental factors. Previous works have developed many filters for denoising the hyperspectral satellite images. Accordingly, this work utilizes an adaptive filter with the type 2 fuzzy system and the optimization-based kernel interpolation for the satellite image denoising. Here, the image denoising has been done through three steps, namely noise identification, noise correction and image enhancement. Initially, the type 2 fuzzy system identifies the noisy pixels in the satellite

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Jacobsen, K., H. Topan, A. Cam, M. Özendi, and M. Oruc. "Radiometric and geometric characteristics of Pleiades images." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 173–77. http://dx.doi.org/10.5194/isprsarchives-xl-1-173-2014.

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Pleiades images are distributed with 50 cm ground sampling distance (GSD) even if the physical resolution for nadir images is just 70 cm. By theory this should influence the effective GSD determined by means of point spread function at image edges. Nevertheless by edge enhancement the effective GSD can be improved, but this should cause enlarged image noise. Again image noise can be reduced by image restoration. Finally even optimized image restoration cannot improve the image information from 70 cm to 50 cm without loss of details, requiring a comparison of Pleiades image details with other v

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Song, Chenyong, Dongwei Wang, Haoran Bai, and Weihao Sun. "Apple Disease Recognition Based on Small-scale Data Sets." Applied Engineering in Agriculture 37, no. 3 (2021): 481–90. http://dx.doi.org/10.13031/aea.14187.

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HighlightsThe proposed data enhancement method can be used for small-scale data sets with rich sample image features.The accuracy of the new model reaches 98.5%, which is better than the traditional CNN method.Abstract: GoogLeNet offers far better performance in identifying apple disease compared to traditional methods. However, the complexity of GoogLeNet is relatively high. For small volumes of data, GoogLeNet does not achieve the same performance as it does with large-scale data. We propose a new apple disease identification model using GoogLeNet’s inception module. The model adopts a varie

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Men, Hong, Xin Su, Peng Chen, and Jia Xue Yu. "Comparison of Infrared Image Pre-Processing Technique on Electronic Power Equipment." Advanced Materials Research 680 (April 2013): 339–44. http://dx.doi.org/10.4028/www.scientific.net/amr.680.339.

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The disadvantages of infrared image are low resolution, bad stereoscopic sense, fuzzy image and low SNR, according to the application of infrared image in fault diagnosis of electronic power equipment, in this paper ,we make a comparative research on pre-processing technique of image de-noising and enhancement, and propose an infrared image enhancement algorithm based on platform histogram equalization combined with enhanced high-pass filtering, the algorithm can effectively improve the contrast by comparison, it is obvious to the noise effect, highlighting the objectives and details, and make

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Potente, Stefan, Frank Ramsthaler, Mattias Kettner, Tomoya Ikeda, and Peter Schmidt. "Application of the “bubbling” procedure to dead body portraits in forensic identification." International Journal of Legal Medicine 135, no. 4 (2021): 1655–59. http://dx.doi.org/10.1007/s00414-021-02515-0.

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Abstract Purpose A procedure is needed for bodies with disfiguring injuries to the face and the use of their portrait for visual identification. Method We present the application of a simple image processing procedure, otherwise known as ”bubbling,” which is based on the concept of ”perceptual filling-in,” to images for visual identification in the forensic context. The method is straight forward and can be performed using readily available software and hardware.. Results The method is demonstrated and examples are shown. The visual recognition of known persons using “bubbled” images was succe

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Liu, Jian Guo, Jun Luo, and Xi Li. "A Research of an Improved Method for Lane Detection in a High Light Condition." Advanced Materials Research 694-697 (May 2013): 1914–18. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1914.

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Most of the methods, which being used to the normal light, are easy to make a mistake in the high light condition. An improved method is proposed in this paper to solve these problems. It includes a series of pretreatment for road image, like white balance, contrast enhancement, edge enhancement. Then the method makes an image segmentation to increase the efficiency of the identification. Use an improved Hough transformation to recognize the parameters of lane line. Finally, establish a trapezoidal interested region to achieve a real-time dynamic extraction of lane lines parameters from the co

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Sharma, Bhubneshwar, and Jyoti Dadwal. "Design of image processing technique in digital enhancement application." International Journal of Advances in Scientific Research 1, no. 8 (2015): 340. http://dx.doi.org/10.7439/ijasr.v1i8.2463.

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This paper describes the basic technological aspects of Digital Image Processing with special reference to satellite image processing. Basically, all satellite image-processing operations can be grouped into three categories: Image Rectification and Restoration, Enhancement and Information Extraction. The former deals with initial processing of raw image data to correct for geometric distortion, to calibrate the data radio metrically and to eliminate noise present in the data. The enhancement procedures are applied to image data in order to effectively display the data for subsequent visual in

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Dong, Heng, Ying Jiang, Yaping Fan, Yu Wang, and Guan Gui. "Secondary segmentation extracted algorithm based on image enhancement for intelligent identification systems." International Journal of Distributed Sensor Networks 14, no. 12 (2018): 155014771881873. http://dx.doi.org/10.1177/1550147718818737.

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Shahidi, SH, SHMomeni Danaei, and M. Oshagh. "Effects of image enhancement on reliability of landmark identification in digital cephalometry." Indian Journal of Dental Research 24, no. 1 (2013): 98. http://dx.doi.org/10.4103/0970-9290.114958.

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Abdulhamid, Mohanad, and Gitonga Muthomi. "Study of Feature Extraction of Retinal Scans." Scientific Bulletin 24, no. 1 (2019): 5–13. http://dx.doi.org/10.2478/bsaft-2019-0001.

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Abstract In this paper, the retina is discussed as part of the feature of extraction of retinal scans for use in security systems as a means of identification. The design system contains a method of image acquisition and processing of the image. A computer system is also incorporated for matching and verifying the image captured to an already present representation of unique features of the retina that are stored as templates for matching and identification. It should then either allow or deny the user depending on the results of the matching process. This paper shows the development of the st

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Rahim, Robbi. "Identification of Hemorrhages in Iris Using Hybrid Morphological Method." International Journal on Recent and Innovation Trends in Computing and Communication 8, no. 3 (2020): 01–05. http://dx.doi.org/10.17762/ijritcc.v8i3.5422.

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In the field of ophthalmology, hemorrhage is the term used more often because of increasing diabetic patients. It’s a challenge amidst the ophthalmologist to distinguish the hemorrhage from the blood vessels, these lands in various problems. In the past various techniques were employed for the detection of the hemorrhage but they were not so accurate and often encountered misclassification between hemorrhage and blood vessels. Precise detection and classification of hemorrhage and blood vessel is very important in the diagnosis of many problems. This paper depicts a mechanized procedure for re

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Agapiou, Athos. "Enhancement of Archaeological Proxies at Non-Homogenous Environments in Remotely Sensed Imagery." Sustainability 11, no. 12 (2019): 3339. http://dx.doi.org/10.3390/su11123339.

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Optical remote sensing has been widely used for the identification of archaeological proxies. Such proxies, known as crop or soil marks, can be detected in multispectral images due to their spectral signatures and the distinct contrast that they provide in relation to the surrounding area. The current availability of high-resolution satellite datasets has enabled researchers to provide new methodologies and algorithms that can further enhance archaeological proxies supporting thus image-interpretation. However, a critical point that remains unsolved is the detection of crop and soil marks in n

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Brisken, Stefan, Dietmar Matthes, Torsten Mathy, and Josef Worms. "Spatially Diverse ISAR Imaging for Classification Performance Enhancement." International Journal of Electronics and Telecommunications 57, no. 1 (2011): 15–21. http://dx.doi.org/10.2478/v10177-011-0002-2.

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Spatially Diverse ISAR Imaging for Classification Performance Enhancement One popular approach to the problem of Non-Cooperative Target Identification is the use of 2D Inverse SAR images. Methods to successfully identify a target include the comparison of a set of scattering centers in the ISAR image to a database or the estimation of target dimensions. While working well in theory, these techniques face major difficulties in practice. In the conventional case of a monostatic radar, visibility of scattering centers varies with the target aspect angle due to fading. In this paper we examine tha

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