scholarly journals Optical flow for large motion using gradient technique

2006 ◽  
Vol 3 (1) ◽  
pp. 103-113 ◽  
Author(s):  
Hossain Sarker ◽  
Kamal Bechkoum ◽  
K.K. Islam
Keyword(s):  
Optical Flow ◽  
Image Sequence ◽  
Object Motion ◽  
Two Dimensional ◽  
Optical Flow Method ◽  
Processing Step ◽  
Gradient Technique ◽  
Gradient Based ◽  
Large Motion ◽  
Flow Techniques

In this paper, we present the gradient-based optical flow method that estimates the two-dimensional velocity of object motion. a multi-resolution smoothing operation proposes in this paper as a pre-processing step for overcoming the difficulty of large motion estimation by gradient-based optical flow techniques. the effectiveness of the proposed method has confirmed by applying image sequence of large motion experimental results with an image sequence show a qualitative improvement.

Gradient-based optical flow techniques for tracking image motion due to atmospheric turbulence

2001 ◽  
Author(s):  
Ian Scott-Fleming ◽  
Keith Hege ◽  
David Clyde ◽  
Donald Fraser ◽  
Andrew Lambert
Keyword(s):  
Optical Flow ◽  
Atmospheric Turbulence ◽  
Image Motion ◽  
Gradient Based ◽  
Flow Techniques

Despeckling of Sar Images Using Shrinkage of Two-Dimensional Discrete Orthonormal S-Transform

2020 ◽  
pp. 2150023
Author(s):  
Priya R. Kamath ◽  
Kedarnath Senapati ◽  
P. Jidesh
Keyword(s):  
High Frequency ◽  
Low Frequency ◽  
Relevant Information ◽  
Detection Algorithm ◽  
Two Dimensional ◽  
Sar Images ◽  
S Transform ◽  
Processing Step ◽  
Frequency Components ◽  
Shock Filter

Speckles are inherent to SAR. They hide and undermine several relevant information contained in the SAR images. In this paper, a despeckling algorithm using the shrinkage of two-dimensional discrete orthonormal S-transform (2D-DOST) coefficients in the transform domain along with shock filter is proposed. Also, an attempt has been made as a post-processing step to preserve the edges and other details while removing the speckle. The proposed strategy involves decomposing the SAR image into low and high-frequency components and processing them separately. A shock filter is used to smooth out the small variations in low-frequency components, and the high-frequency components are treated with a shrinkage of 2D-DOST coefficients. The edges, for enhancement, are detected using a ratio-based edge detection algorithm. The proposed method is tested, verified, and compared with some well-known models on C-band and X-band SAR images. A detailed experimental analysis is illustrated.

Application of an Optical Flow Method to Inspiratory and Expiratory Lung MDCT to Assess Regional Air Trapping: A Feasibility Study

2007 ◽  
Vol 188 (3) ◽  
pp. W276-W280 ◽  
Author(s):  
Drew A. Torigian ◽  
Warren B. Gefter ◽  
John D. Affuso ◽  
Kiarash Emami ◽  
Lawrence Dougherty
Keyword(s):  
Optical Flow ◽  
Feasibility Study ◽  
Air Trapping ◽  
Flow Method ◽  
Optical Flow Method

Optical flow method for neutron radiography flow diagnostics

2021 ◽  
Vol 33 (10) ◽  
pp. 101702
Author(s):  
Tianshu Liu ◽  
Robert Zboray ◽  
Pavel Trtik ◽  
Lian-Ping Wang
Keyword(s):  
Optical Flow ◽  
Neutron Radiography ◽  
Flow Diagnostics ◽  
Flow Method ◽  
Optical Flow Method
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