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Medical image retrieval based on complexity analysis
(SPRINGER, 2010)
Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. ...
A regularized nonlinear diffusion approach for texture image denoising
(2009-12-01)
In this paper a new partial differential equation based method is presented with a view to denoising images having textures. The proposed model combines a nonlinear anisotropic diffusion filter with recent harmonic analysis ...
A regularized nonlinear diffusion approach for texture image denoising
(2009-12-01)
In this paper a new partial differential equation based method is presented with a view to denoising images having textures. The proposed model combines a nonlinear anisotropic diffusion filter with recent harmonic analysis ...
Rotation-invariant and scale-invariant steerable pyramid decomposition for texture image retrieval
(Scopus, 2007)
This paper proposes a new rotation-invariant and scale-invariant representation for texture image retrieval based on Steerable Pyramid Decomposition. By calculating the mean and standard deviation of decomposed image ...
An image quality index based on coefficients of spatial association with an application to image fusion
(Elsevier, 2018-03)
In the last decade, image quality indices have received considerable attention to quantify the dissimilarity between two images. The codispersion coefficient, commonly used in spatial statistics to address the association ...
Ridge-based fingerprint matching using hough transform
(Institute of Electrical and Electronics Engineers (IEEE), Computer Soc, 2005-12-01)
Despite the efficacy of minutia-based fingerprint matching techniques for good-quality images captured by optical sensors, minutia-based techniques do not often perform so well on poor-quality images or fingerprint images ...
Pattern Recognition in Macroscopic and Dermoscopic Images for Skin Lesion Diagnosis
(Springer, 2018-01-01)
Pattern recognition in macroscopic and dermoscopic images is a challenging task in skin lesion diagnosis. The search for better performing classification has been a relevant issue for pattern recognition in images. Hence, ...