Speckle reduction in breast cancer ultrasound images by using homogeneity modified bayes shrink
I Elyasi, MA Pourmina, MS Moin - Measurement, 2016 - Elsevier
Ultrasound imaging suffers from severe artifacts caused by speckle noise. The paper
introduces an algorithm for speckle noise reduction in breast cancer ultrasound images …
introduces an algorithm for speckle noise reduction in breast cancer ultrasound images …
Dewaff: A novel image abstraction approach to improve the performance of a cell tracking system
This paper presents a new image abstraction approach, aiming to improve typical image
related pattern recognition tasks such as segmentation, tracking, and classification. The …
related pattern recognition tasks such as segmentation, tracking, and classification. The …
[PDF][PDF] Analysis of speckle noise reduction in synthetic aperture radar images
PA Hatwar, HR Kher - International Journal of Engineering Research …, 2015 - academia.edu
Synthetic aperture radar (SAR) is an active imaging system that can achieve high
resolutions both in range and azimuth. Speckle noise is one of the most critical disturbances …
resolutions both in range and azimuth. Speckle noise is one of the most critical disturbances …
Optical images-based edge detection in synthetic aperture radar images
GPS Junior, AC Frery, S Sandri, H Bustince… - Knowledge-Based …, 2015 - Elsevier
We address the issue of adapting optical images-based edge detection techniques for use
in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational …
in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational …
[PDF][PDF] Satellite remote sensing priorities for better assimilation in crop growth models: winter wheat LAI and grassland mowing dates case studies
Y Curnel - 2015 - core.ac.uk
In a context of markets globalization, early, reliable and timely estimations of crop yields at
regional to global scale are clearly needed for managing large agricultural lands …
regional to global scale are clearly needed for managing large agricultural lands …
Speckle noise reduction in SAR images using information theory
D Chan, J Gambini, AC Frery - 2020 IEEE Latin American …, 2020 - ieeexplore.ieee.org
In this work, a new nonlocal means filter for single-look speckled data using the Shannon
and Renyi entropies is proposed. The measure of similarity between a central window and …
and Renyi entropies is proposed. The measure of similarity between a central window and …
The LA Distribution: An Approximation of the G0A Distribution for Amplitude SAR Image Modeling
This article introduces a continuous probability distribution as an approximation to the
distribution for amplitude synthetic aperture radar (SAR) imagery modeling. Called …
distribution for amplitude synthetic aperture radar (SAR) imagery modeling. Called …
Semi-automatic identification of submarine pipelines with synthetic aperture sonar images
VH Fernandes, NG Medeiros, DD Rodrigues… - Marine …, 2020 - Taylor & Francis
Abstract Synthetic Aperture Sonar (SAS) is a sensor that was designed for hydrographic
survey of the seabed. It detects small targets, enabling high geometric resolution images …
survey of the seabed. It detects small targets, enabling high geometric resolution images …
High order structural image decomposition by using non-linear and non-convex regularizing objectives
The paper addresses structural decomposition of images by using a family of non-linear and
non-convex objective functions. These functions rely on ℓ p quasi-norm estimation costs in a …
non-convex objective functions. These functions rely on ℓ p quasi-norm estimation costs in a …
Deblocking artifact of satellite image based on adaptive soft-threshold anisotropic filter using wavelet
M Aritsugi - IEICE TRANSACTIONS on Information and Systems, 2018 - search.ieice.org
New deblocking artifact, or blocking artifact reduction, algorithms based on nonlinear
adaptive soft-threshold anisotropic filter in wavelet are proposed. Our deblocking algorithm …
adaptive soft-threshold anisotropic filter in wavelet are proposed. Our deblocking algorithm …