Dictionary matrix model and calculation algorithm in sparse representation for X-ray welding image recognition

2017 ◽  
Author(s):  
Weixin Gao ◽  
He Jianan
Keyword(s):  
Sparse Representation ◽  
Image Recognition ◽  
Matrix Model ◽  
Calculation Algorithm ◽  
X Ray ◽  
Welding Image

Multi-energy X-ray images fusion method based on fuzzy entropy and sparse representation for complex castings

2021 ◽  
pp. 102535
Author(s):  
Rongge Zhao ◽  
Yi Liu ◽  
Zhe Zhao ◽  
Xia Zhao ◽  
Pengcheng Zhang ◽  
...  
Keyword(s):  
Sparse Representation ◽  
Fuzzy Entropy ◽  
Fusion Method ◽  
X Ray

Integrating Sparse and Collaborative Representation Classifications for Image Classification

2017 ◽  
Vol 17 (02) ◽  
pp. 1750007 ◽  
Author(s):  
Chunwei Tian ◽  
Guanglu Sun ◽  
Qi Zhang ◽  
Weibing Wang ◽  
Teng Chen ◽  
...  
Keyword(s):  
Sparse Representation ◽  
Image Classification ◽  
Linear Combination ◽  
Image Recognition ◽  
Test Sample ◽  
Collaborative Representation ◽  
Training Samples ◽  
Sparse Representation Classification ◽  
The Difference ◽  
Representation Method

Collaborative representation classification (CRC) is an important sparse method, which is easy to carry out and uses a linear combination of training samples to represent a test sample. CRC method utilizes the offset between representation result of each class and the test sample to implement classification. However, the offset usually cannot well express the difference between every class and the test sample. In this paper, we propose a novel representation method for image recognition to address the above problem. This method not only fuses sparse representation and CRC method to improve the accuracy of image recognition, but also has novel fusion mechanism to classify images. The implementations of the proposed method have the following steps. First of all, it produces collaborative representation of the test sample. That is, a linear combination of all the training samples is first determined to represent the test sample. Then, it gets the sparse representation classification (SRC) of the test sample. Finally, the proposed method respectively uses CRC and SRC representations to obtain two kinds of scores of the test sample and fuses them to recognize the image. The experiments of face recognition show that the combination of CRC and SRC has satisfactory performance for image classification.

Automatic x-ray image recognition

1981 ◽  
Vol 15 (3) ◽  
pp. 67-71
Author(s):  
V. A. Mikhailov ◽  
A. B. Vol'pert
Keyword(s):  
Image Recognition ◽  
X Ray

The optimization of parallel convolutional RBM based on Spark

2019 ◽  
Vol 17 (02) ◽  
pp. 1940011 ◽  
Author(s):  
Yun Jiang ◽  
Junyu Zhuo ◽  
Juan Zhang ◽  
Xiao Xiao
Keyword(s):  
Deep Learning ◽  
Speech Recognition ◽  
Image Classification ◽  
Image Recognition ◽  
Restricted Boltzmann Machine ◽  
Sequential Algorithm ◽  
Boltzmann Machine ◽  
X Ray ◽  
Model Based ◽  
Traditional Algorithm

With the extensive attention and research of the scholars in deep learning, the convolutional restricted Boltzmann machine (CRBM) model based on restricted Boltzmann machine (RBM) is widely used in image recognition, speech recognition, etc. However, time consuming training still seems to be an unneglectable issue. To solve this problem, this paper mainly uses optimized parallel CRBM based on Spark, and proposes a parallel comparison divergence algorithm based on Spark and uses it to train the CRBM model to improve the training speed. The experiments show that the method is faster than traditional sequential algorithm. We train the CRBM with the method and apply it to breast X-ray image classification. The experiments show that it can improve the precision and the speed of training compared with traditional algorithm.

Density matrix model for coherent x-ray diffraction: Study of experimental factors related to idempotency

2009 ◽  
Vol 24 (S17) ◽  
pp. 517-525
Author(s):  
W. L. Clinton ◽  
C. A. Frishberg ◽  
M. J. Goldberg ◽  
L. J. Massa ◽  
P. A. Oldfield
Keyword(s):  
Density Matrix ◽  
Diffraction Study ◽  
Matrix Model ◽  
X Ray Diffraction ◽  
X Ray
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