Multi-Channel and Multi-Model-Based Autoencoding Prior for Grayscale Image Restoration

2020 ◽  
Vol 29 ◽  
pp. 142-156 ◽  
Author(s):  
Sanqian Li ◽  
Binjie Qin ◽  
Jing Xiao ◽  
Qiegen Liu ◽  
Yuhao Wang ◽  
...  
Keyword(s):  
Image Restoration ◽  
Grayscale Image ◽  
Model Based

Model-Based GA Evolutionary 3-D Position Measurement Method

2012 ◽  
Vol 226-228 ◽  
pp. 1866-1871
Author(s):  
Xu Liu ◽  
Wei Song ◽  
Ya Nan Zhang ◽  
Xiao Lei Li
Keyword(s):  
Fitness Function ◽  
Simultaneous Detection ◽  
Internal Surface ◽  
Target Object ◽  
Grayscale Image ◽  
Position Measurement ◽  
Recognition Method ◽  
Model Based ◽  
Position Detection ◽  
Brightness Difference

This paper presents a vision-related technique for 3-D position measurement. The proposed method utilizes the genetic algorithm (GA) and unprocessed grayscale image input from vision, in order to perform recognition of a target being imaged with known target object shape. The problem to recognize the target shape and simultaneous detection of the position, is converted to an optimistic problem of a model-based evaluation function, named as surface-strips model-based fitness function that consists in the computation of the brightness difference between an internal surface and a contour-strips. In order to evaluate the proposed 3-D recognition method, experiments by an unprocessed grayscale image have been input to recognize a ball in the image. The results show the effectiveness of this method for 3-D position detection.

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