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检索条件"主题词=Computer vision and image processing techniques"
1042 条 记 录,以下是381-390 订阅
排序:
Adaptive enhanced affine transformation for non-rigid registration of visible and infrared images
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IET image processing 2021年 第5期15卷 1144-1156页
作者: Min, Chaobo Gu, Yan Li, Yingjie Yang, Feng Hohai Univ Coll Internet Things Engn Changzhou 213000 Jiangsu Peoples R China North Night Vis Technol Co Ltd Res & Dev Dept Sensor Applicat Nanjing 211106 Peoples R China North Informat Control Res Acad Grp Co Ltd Res & Dev Dept Photoelect Syst Nanjing 211153 Peoples R China
Non-rigid registration, performing well in all-weather and all-day/night conditions, directly determine the reliability of visible (VIS) and infrared (IR) image fusion. On account of non-planar scenes and differences ... 详细信息
来源: 评论
Segregation of meaningful strokes, a pre-requisite for self co-articulation removal in isolated dynamic gestures
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IET image processing 2021年 第5期15卷 1166-1178页
作者: Monsley, K. Anish Yadav, Kuldeep Singh Misra, Songhita Khan, Taimoor Bhuyan, M. K. Laskar, Rabul Hussain Natl Inst Technol Silchar Dept Elect & Commun Silchar 788010 Assam India Natl Inst Technol Andhra Pradesh Dept Elect & Commun Engn Tadepalligudem Andra Pradesh India Indian Inst Technol Guwahati Dept Elect & Elect Engn Gauhati Assam India
Gesture formation, a pre-processing step, has its importance when variations in patterns, scale, and speed come into play. Self co-articulations are intentional movements performed by an individual to complete a gestu... 详细信息
来源: 评论
Generative adversarial network for low-light image enhancement
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IET image processing 2021年 第7期15卷 1542-1552页
作者: Li, Fei Zheng, Jiangbin Zhang, Yuan-fang Northwestern Polytech Univ Sch Software Xian 710100 Shaanxi Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian 710100 Shaanxi Peoples R China Univ Technol Sydney Fac Engn & IT Sydney NSW 2007 Australia
Low-light image enhancement is rapidly gaining research attention due to the increasing demands of extreme visual tasks in various applications. Although numerous methods exist to enhance image qualities in low light,... 详细信息
来源: 评论
A pixel pair-based encoding pattern for stereo matching via an adaptively weighted cost
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IET image processing 2021年 第4期15卷 908-917页
作者: Fu, Yuli Lai, Kaimin Chen, Weixiang Xiang, Youjun South China Univ Technol Sch Elect & Informat Engn Guangzhou Peoples R China
Stereo matching, which is a key problem in computer vision, faces the challenge of radiometric distortions. Most of the existing stereo matching methods are based on simple matching cost algorithms and appear the prob... 详细信息
来源: 评论
A pyramid non-local enhanced residual dense network for single image de-raining
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IET image processing 2021年 第8期15卷 1786-1799页
作者: Zhao, Minghua Fan, Hengrui DU, Shuangli Wang, Li Li, Peng Hu, Jing Xian Univ Technol Sch Comp Sci & Engn Xian 710048 Peoples R China Shaanxi Key Lab Network Comp & Secur Technol Xian Shaanxi Peoples R China Xian Univ Technol Personnel Dept Xian 710048 Peoples R China
Single image de-raining based on convolutional neural network (CNN) has made considerable progress in recent years. However, usually the de-rained result has dark artifacts and image textures tend to be over-smoothed.... 详细信息
来源: 评论
Segmentation of osteosarcoma in MRI images by K-means clustering, Chan-Vese segmentation, and iterative Gaussian filtering
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IET image processing 2021年 第6期15卷 1310-1318页
作者: Nasor, Mohamed Obaid, Walid Ajman Univ Dept Biomed Engn Ajman U Arab Emirates
Unlike other types of tumours, automated osteosarcoma segmentation in magnetic resonance images (MRI) is a challenging task due to its different and unique intensity and texture. This paper presents a technique for se... 详细信息
来源: 评论
A feature-optimized Faster regional convolutional neural network for complex background objects detection
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IET image processing 2021年 第2期15卷 378-392页
作者: Wang, Kun Liu, Maozhen Civil Aviat Univ China Dept Elect Informat & Automat Tianjin Peoples R China
In recent years, convolutional neural networks are playing an increasingly important role in the field of object detection. However, the complex background of the detected image, the limited receptive field by the fix... 详细信息
来源: 评论
Unsupervised change detection method in SAR images based on deep belief network using an improved fuzzy C-means clustering algorithm
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IET image processing 2021年 第4期15卷 974-982页
作者: Attioui, Sanae Najah, Said Univ Sidi Mohamed Ben Abdellah Dept Comp Sci Fac Sci & Technol Fes Morocco
Deep learning methods have recently displayed ground-breaking results for synthetic aperture radar image change detection problem. However, they still face the challenges of intrinsic noise and the difficulty of acqui... 详细信息
来源: 评论
A method of lining seam elimination with angle adaptation and rectangular mark for road tunnel concrete lining images
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IET image processing 2021年 第9期15卷 2056-2067页
作者: Qu, Zhong Zhong, Yu-Lu Liu, Ling Chongqing Univ Posts & Telecommun Coll Comp Sci & Technol 2 Chongwen Rd Chongqing 400065 Peoples R China Chongqing Univ Posts & Telecommun Coll Mobile Telecommun 1 Jiari Rd Chongqing Peoples R China
Road Tunnels are an important part of the current road transportation infrastructure. As the main form of tunnel lining diseases, cracks are easy to interact with other areas, which seriously affects the safe operatio... 详细信息
来源: 评论
A night low-illumination image enhancement model based on small probability area filtering and lossless mapping enhancement
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IET image processing 2021年 第13期15卷 3221-3238页
作者: He, Lei Long, Wei Liu, Shouxin Li, Yanyan Ding, Wei Sichuan Univ Sch Mech Engn Yihuan Rd Chengdu 610065 Peoples R China
A novel night-time image enhancement approach was proposed in this paper to address the problems of low contrast and poor details of low-illumination images captured at night. To begin with, the luminance component V ... 详细信息
来源: 评论