MO-FF-A4-03: A Parallel and Robust Image Registration Algorithm of Consecutive Stained Prostate Specimens for Ultrasound Tissue Characterization of Prostate Cancer

2010 ◽  
Vol 37 (6Part6) ◽  
pp. 3366-3366
Author(s):  
L Yang ◽  
M Benson ◽  
M Mansukhani ◽  
V Mater ◽  
A Osunkoya ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Image Registration ◽  
Tissue Characterization ◽  
Ultrasound Tissue Characterization ◽  
Registration Algorithm ◽  
Image Registration Algorithm ◽  
Robust Image

A Robust Image Registration Algorithm Based on Feature Points Matching

2008 ◽  
Vol 28 (3) ◽  
pp. 454-461 ◽  
Author(s):  
刘贵喜 Liu Guixi ◽  
刘冬梅 Liu Dongmei ◽  
刘凤鹏 Liu Fengpeng ◽  
周亚平 Zhou Yaping
Keyword(s):  
Image Registration ◽  
Feature Points ◽  
Registration Algorithm ◽  
Feature Points Matching ◽  
Image Registration Algorithm ◽  
Robust Image

An Automatic Robust Image Registration Algorithm for Aerial Mapping

2015 ◽  
Vol 15 (02) ◽  
pp. 1540002 ◽  
Author(s):  
Mohammad Saleh Javadi ◽  
Zulaikha Kadim ◽  
Hon Hock Woon ◽  
Khairunnisa Mohamed Johari ◽  
Norshuhada Samudin
Keyword(s):  
Image Registration ◽  
Unmanned Aerial Vehicles ◽  
Aerial Photograph ◽  
Satellite Images ◽  
Aerial Image ◽  
Registration Algorithm ◽  
Aerial Vehicles ◽  
Image Registration Algorithm ◽  
Aerial Mapping ◽  
Robust Image

Aerial mapping is attracting more attention due to the development in unmanned aerial vehicles (UAVs) and their availability and also vast applications that require a wide aerial photograph of a region in a specific time. The cross-modality as well as translation, rotation, scale change and illumination are the main challenges in aerial image registration. This paper concentrates on an algorithm for aerial image registration to overcome the aforementioned issues. The proposed method is able to sample automatically and align the sensed images to form the final map. The results are compared with satellite images that shows a reasonable performance with geometrically correct registration.

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