Results 61 to 70 of about 429,650 (191)
Remote SensingSignificant nonlinear radiation differences and weak texture differences exist between multimodal weak texture remote sensing images (MWTRSIs). When using traditional methods to match MWTRSIs, the low distinguishability of descriptors in weak texture ...
Qiang Xiong +3 more
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Research on the Spatiotemporal-Coupled High-Resolution Remote Sensing Land Use Classification Method
Remote SensingHigh-spatial-resolution remote sensing imagery provides a data foundation for fine-grained land use classification. However, due to long revisit cycles and susceptibility to cloud cover, large-area imagery often suffers from temporal inconsistency, which
Jiawang Yang +9 more
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Statistical geometrical features for texture classification
Pattern Recognition, 1995 Abstract This paper proposes a novel set of 16 features based on the statistics of geometrical attributes of connected regions in a sequence of binary images obtained from a texture image. Systematic comparison using all the Brodatz textures shows that the new set achieves a higher correct classification rate than the well-known Statistical Gray ...
Chen, Y.Q., Nixon, M.S., Thomas, D.W.
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Direct Monocular Odometry Using Points and Lines
, 2017 Most visual odometry algorithm for a monocular camera focuses on points, either by feature matching, or direct alignment of pixel intensity, while ignoring a common but important geometry entity: edges.
Scherer, Sebastian, Yang, Shichao
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Texture feature method based on Gaussian local binary pattern
Dianzi Jishu Yingyong, 2018 The texture description of machine vision is important for image analysis and pattern recognition. To improve the robustness of feature describing, a texture feature based on Gaussian local binary pattern(LBP) is proposed in this paper.
Huang Chen, Fei Jiyou, Liu Xiaodong
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IEEE Access, 2020 Background subtraction is commonly employed in foreground object detection in urban traffic scenes. Most of the current color or texture feature-based background subtraction models are easily contaminated by sudden and gradual illumination variations in ...
Yunsheng Zhang +3 more
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A robust adaptive wavelet-based method for classification of meningioma histology images [PDF]
, 2009 Intra-class variability in the texture of samples is an important problem in the domain of histological image classification. This issue is inherent to the field due to the high complexity of histology image data.
Hans, Volkmar +3 more
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Classification methods for hyperspectral remote sensing images with weak texture features
Journal of Radiation Research and Applied SciencesIn order to provide method support for remote sensing image classification of weak texture region and improve the classification effect, a remote sensing image classification model for weak texture region was constructed.
Yong Wang, Mengyu Gu
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Aging State Evaluation of Oil-Paper Insulation Based on Fusion of Gray Texture and Oil Gas Features
Zhongguo dianli, 2020 Aiming at the problem of insufficient precision of aging information obtained by single partial discharge(PD) feature discrimination, a D-S evidence fusion recognition method based on PD gray texture and oil-gas features is proposed to analyze the aging ...
Dongchao LIU +6 more
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Wood Recognition Using Image Texture Features
PLoS ONE, 2013 Inspired by theories of higher local order autocorrelation (HLAC), this paper presents a simple, novel, yet very powerful approach for wood recognition. The method is suitable for wood database applications, which are of great importance in wood related industries and administrations. At the feature extraction stage, a set of features is extracted from
Hang-jun Wang +2 more
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