Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices
Entropy, 2016 The Riemannian geometry of the space Pm, of m × m symmetric positive definite matrices, has provided effective ...
Hatem Hajri +4 more
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Applied Sciences, 2021 This paper addresses the problem of data vectors modeling, classification and recognition using infinite mixture models, which have been shown to be an effective alternative to finite mixtures in terms of selecting the optimal number of clusters. In this
Sami Bourouis +4 more
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A New Illumination-Rotation-Invariance Texture Feature Based on Quasi-Periodic Signal Analysis
IEEE Access, 2020 Texture classification is a classic problem in pattern recognition. It is an effective strategy for improving texture classification to find the texture features with both powerful discrimination and various invariant properties.
Zhihua Yang, Qian Zhang, Feng Zhou
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On the Importance of Passive Acoustic Monitoring Filters
Journal of Marine Science and Engineering, 2021 Passive acoustic monitoring (PAM) is a noninvasive technique to supervise wildlife. Acoustic surveillance is preferable in some situations such as in the case of marine mammals, when the animals spend most of their time underwater, making it hard to ...
Rafael Aguiar +4 more
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Rotationally invariant texture based features [PDF]
, 2001 Content-based retrieval is ultimately dependent on the features used for the annotation of data and its efficiency is dependent on the invariance and robust properties of these features.
Hill, PR, Canagarajah, CN, Bull, DR
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Locally Directional and Extremal Pattern for Texture Classification
IEEE Access, 2019 An image texture was defined in terms of pixel intensities and directionality. However, most of the current texture representation methods did not consider the two key factors simultaneously.
Yongsheng Dong +6 more
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Bleeding Detection in Gastrointestinal Images using Texture Classification and Local Binary Pattern Technique: A Review [PDF]
E3S Web of Conferences, 2020 Texture analysis has proven to be a breakthrough in many applications of computer image analysis. It has been used for classification or segmentation of images which requires an effective description of image texture. Due to high discriminative power and
Goyal Aparna, Gunjan Reena
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Completed Extremely Nonnegative DMD for Color Texture Classification
IEEE Access, 2020 Dense micro-block difference (DMD) has achieved good performance in gray texture representation and classification. However, its performance is not satisfactory when representing color texture.
Mingxin Jin +7 more
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Multiscale texture classification and retrieval based on magnitude and phase features of complex wavelet subbands [PDF]
, 2011 This paper proposes a multiscale texture classifier which uses features extracted from both magnitude and phase responses of subbands at different resolutions of the dual-tree complex wavelet transform decomposition of a texture image.
Tjahjadi, Tardi +3 more
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Multiscale texture classification using dual-tree complex wavelet transform [PDF]
, 2009 This paper presents a multiscale texture classifier that exploits the Gabor-like properties of the dual-tree complex wavelet transform, shift invariance and six directional subbands at each scale, and uses a feature vector comprising of a variance and an
Tjahjadi, Tardi, Çelik, Turgay
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