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Relevant bibliographies by topics / Re-identification and image enhancement

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Journal articles

Academic literature on the topic 'Re-identification and image enhancement'

Author: Grafiati

Published: 29 June 2021

Last updated: 18 February 2022

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

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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2

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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3

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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7

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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9

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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10

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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