scholarly journals Image processing algorithm design and implementation for real-time autonomous inspection of mixed waste

1996 ◽  
Author(s):  
Robert J. Schalkoff ◽  
Khaled M. Shaaban ◽  
Albrecht E. Carver
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Algorithm Design ◽  
Processing Algorithm ◽  
Image Processing Algorithm ◽  
Design And Implementation ◽  
Mixed Waste ◽  
Time Autonomous ◽  
Autonomous Inspection

Image Processing Algorithm for Real-Time Crack Inspection in Hole Expansion Test

2019 ◽  
Vol 20 (7) ◽  
pp. 1139-1148 ◽  
Author(s):  
Seungho Choi ◽  
Kwangyoon Kim ◽  
Jaeho Lee ◽  
Sung Hyuk Park ◽  
Hye-Jin Lee ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing Algorithm ◽  
Image Processing Algorithm ◽  
Hole Expansion ◽  
Expansion Test ◽  
Hole Expansion Test

scholarly journals RGB-D Image Processing Algorithm for Target Recognition and Pose Estimation of Visual Servo System

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 430 ◽  
Author(s):  
Shipeng Li ◽  
Di Li ◽  
Chunhua Zhang ◽  
Jiafu Wan ◽  
Mingyou Xie
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Pose Estimation ◽  
Visual Servoing ◽  
Rapid Identification ◽  
Processing Algorithm ◽  
Depth Information ◽  
Target Image ◽  
Image Processing Algorithm ◽  
Depth Direction

This paper studies the control performance of visual servoing system under the planar camera and RGB-D cameras, the contribution of this paper is through rapid identification of target RGB-D images and precise measurement of depth direction to strengthen the performance indicators of visual servoing system such as real time and accuracy, etc. Firstly, color images acquired by the RGB-D camera are segmented based on optimized normalized cuts. Next, the gray scale is restored according to the histogram feature of the target image. Then, the obtained 2D graphics depth information and the enhanced gray image information are distort merged to complete the target pose estimation based on the Hausdorff distance, and the current image pose is matched with the target image pose. The end angle and the speed of the robot are calculated to complete a control cycle and the process is iterated until the servo task is completed. Finally, the performance index of this control system based on proposed algorithm is tested about accuracy, real-time under position-based visual servoing system. The results demonstrate and validate that the RGB-D image processing algorithm proposed in this paper has the performance in the above aspects of the visual servoing system.

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