Results 11 to 20 of about 374,369 (195)
Quaternionic wavelets for texture classification [PDF]
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010 This article proposes a study of the recent quaternionic wavelet transform (QWT) from a practical point of view through a digital image analysis application. Based on a theoretic 2D generalization of the analytic signal leading to a strong 2D signal modeling, this representation uses actual 2D analytic wavelets and yields subbands having a shift ...
Soulard, Raphaël, Carré, Philippe
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Noise robust Laws’ filters based on fuzzy filters for texture classification
Egyptian Informatics Journal, 2020 Laws’ mask method has achieved wide acceptance in texture analysis, however it is not robust to noise. Fuzzy filters are well known for denoising applications.
Sonali Dash, Manas Ranjan Senapati
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Perceptual-based textures for scene labeling: a bottom-up and a top-down approach [PDF]
, 2010 Due to the semantic gap, the automatic interpretation of digital images is a very challenging task. Both the segmentation and classification are intricate because of the high variation of the data. Therefore, the application of appropriate features is of
Lambert, Peter +3 more
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Nominated Texture Based Cervical Cancer Classification [PDF]
Computational and Mathematical Methods in Medicine, 2015 Accurate classification of Pap smear images becomes the challenging task in medical image processing. This can be improved in two ways. One way is by selecting suitable well defined specific features and the other is by selecting the best classifier.
Mariarputham, Edwin Jayasingh +1 more
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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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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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Deep Region Adaptive Denoising for Texture Enhancement
IEEE Access, 2022 Image denoising is a highly challenging problem yet important task in image processing. Recently, many CNN-based denoising methods have made great performances but they commonly denoise blindly texture and non-texture regions together.
Seong-Eui Lee +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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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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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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