scholarly journals Multi-Objective Boundary Tracking Method in Grayscale Image

2018 ◽  
Author(s):  
Shengyuan YANG ◽  
Shanshan XU ◽  
Xiaoyun ZENG ◽  
Yuanyuan PAN
Keyword(s):  
Grayscale Image ◽  
Boundary Tracking ◽  
Tracking Method ◽  
Multi Objective

TU-D-304A-08: A Novel Boundary Tracking Method for Metal Artifact Suppression in Helical CT Imaging

2009 ◽  
Vol 36 (6Part23) ◽  
pp. 2738-2738
Author(s):  
H Li ◽  
L Yu ◽  
X Liu ◽  
C McCollough
Keyword(s):  
Helical Ct ◽  
Ct Imaging ◽  
Metal Artifact ◽  
Boundary Tracking ◽  
Tracking Method ◽  
Artifact Suppression

Preference adjustable multi-objective NMPC: An unreachable prioritized point tracking method

2017 ◽  
Vol 66 ◽  
pp. 134-142 ◽  
Author(s):  
Huirong Zhao ◽  
Jiong Shen ◽  
Yiguo Li ◽  
Joseph Bentsman
Keyword(s):  
Tracking Method ◽  
Multi Objective ◽  
Point Tracking

A Boundary Tracking Method Based on Topological Relation & Region Growing

2011 ◽  
Vol 480-481 ◽  
pp. 1298-1301
Author(s):  
Juan Wang
Keyword(s):  
Time Complexity ◽  
Region Growing ◽  
Topological Relations ◽  
Topological Relation ◽  
Boundary Tracking ◽  
Tracking Method ◽  
Plate Area

This paper proposed a method to measure destructive pavement area based on region growing and topological relation. Firstly, separate the image of smeary area and calibrate plate area according to the image of topological relations. Then, the closed boundary could be achieved by utilizing the algorithms of region growing and boundary tracking, and the pixels in this area could be calculated. Finally, the practical area can be calculated through the ratio relation between the area and the calibrate plate. It’s demonstrated through experiments that the method has low time complexity and high robust.

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