Correlated-Weighted Statistically Modeled Contourlet and Curvelet Coefficient Image-Based Breast Tumor Classification Using Deep Learning [PDF]
Diagnostics, 2022 Deep learning-based automatic classification of breast tumors using parametric imaging techniques from ultrasound (US) B-mode images is still an exciting research area.
Shahriar M. Kabir +1 more
doaj +2 more sources
Optimal Deep Learning Architecture for Automated Segmentation of Cysts in OCT Images Using X-Let Transforms [PDF]
Diagnostics, 2023 The retina is a thin, light-sensitive membrane with a multilayered structure found in the back of the eyeball. There are many types of retinal disorders.
Reza Darooei +3 more
doaj +2 more sources
Heteroscedastic watermark detector in the contourlet domain
IET Computer Vision, 2019 A new contourlet domain image watermark detector is proposed in the present study. As the performance of the detector completely depends on the accuracy of the statistical model, the contourlet coefficients and statistical properties are studied first ...
Maryam Amirmazlaghani
exaly +2 more sources
A combined HMM-PCNN model in the contourlet domain for image data compression. [PDF]
PLoS ONE, 2020 Multiscale geometric analysis (MGA) is not only characterized by multi-resolution, time-frequency localization, multidirectionality and anisotropy, but also outdoes the limitations of wavelet transform in representing high-dimensional singular data such ...
Guoan Yang +3 more
doaj +2 more sources
Applied Sciences, 2021 This study presents two new approaches based on Weighted Contourlet Parametric (WCP) images for the classification of breast tumors from B-mode ultrasound images.
Shahriar Mahmud Kabir +3 more
doaj +1 more source
Data Hiding In Contourlet Coefficients Based On Their Energy [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 The data hiding is one of the most important subject in field of computer science, so a lot of technique was developed and modified to satisfy the optimum lend of hiding.
Khalil I. Alsaif, Nagham S. AL-lella
doaj +1 more source
Fusion of WorldView2 images using Contourlet, Curvelet and Ridgelet transforms for edge enhancement
Revista Facultad de Ingeniería Universidad de Antioquia, 2017 Este artículo se discute la aplicación de tres transformadas, a saber, Contourlet, Curvelet y Ridgelet, que están destinadas a la mejora de bordes en una imagen, las cuales se aplicaron a las imágenes de satélite Worldview 2 fusionadas.
Giselle Helena Toro-Garay +1 more
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Contourlet Filter Design Based on Chebyshev Best Uniform Approximation
EURASIP Journal on Advances in Signal Processing, 2010 The contourlet transform can deal effectively with images which have directional information such as contour and texture. In contrast to wavelets for which there exists many good filters, the contourlet filter design for image processing applications is ...
Ming Hou +4 more
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Fingerprints Identification Using Contourlet Transform [PDF]
Engineering and Technology Journal, 2017 This paper suggests the use of contourlet transform for efficient feature extraction of fingerprints for identification purposes. Back propagated neural network is then used as a classifier. Two fingerprints databases are used to test the system.
T.M. Salman, M.K.M. Al-Azawi
doaj +1 more source
Speech compression based on wavelet and contourlet Transformation [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 Speech compression is very important in many applications. In this research we applied compression on speech by using wavelet transform and contourlet transform.
Khalil I. Alsaif, Hadia Salih Albadrani
doaj +1 more source