scholarly journals Retraction Note to: Seawater microbial environment detection and coastal port logistics management based on fuzzy image restoration

2021 ◽  
Vol 14 (22) ◽  
Author(s):  
Zhaomeng Chen
Keyword(s):  
Image Restoration ◽  
Logistics Management ◽  
Port Logistics ◽  
Microbial Environment ◽  
Fuzzy Image ◽  
Environment Detection

scholarly journals A Conceptual Model of Excellent Performance Mode of Port Enterprise Logistics Management

2017 ◽  
Vol 24 (s3) ◽  
pp. 34-40
Author(s):  
He Jiang ◽  
Wei Xiong ◽  
Yonghui Cao
Keyword(s):  
Supply Chain ◽  
Global Supply Chain ◽  
Logistics Management ◽  
Excellent Performance ◽  
Positive Role ◽  
Lack Of Information ◽  
Port Logistics ◽  
Global Logistics ◽  
Role Based ◽  
Enterprise Logistics

AbstractPort as one of the key hubs of international logistics, which has become the main part and the base of global logistics management. The port enterprises, plays an important role in the global supply chain. However, due to the lack of understanding in port supply chain management, coordination between the port enterprises, the integration of business process is not perfect, the lack of information sharing between various organizations, ports enterprises usually failed to fully play its positive role. Based on this, the paper makes the port enterprises as the research object, and introduces the excellent performance mode into the port enterprises. In order to study the port enterprises how to carry out effective quality management, and formation the coordination and integration of upstream and downstream of enterprises, so as to realize the competitive advantage in port logistics.

A Research on the Optimization of Fuzzy Image

2013 ◽  
Vol 409-410 ◽  
pp. 1593-1596
Author(s):  
Xue Feng Wu ◽  
Yu Fan
Keyword(s):  
Mathematical Model ◽  
Image Restoration ◽  
Point Spread Function ◽  
Motion Blur ◽  
Inverse Filtering ◽  
Point Spread ◽  
Spread Function ◽  
Blurred Image ◽  
Blurred Images ◽  
Fuzzy Image

The restore algorithm of the image blurred by motion is proposed, and a mathematical model based on motion blur system is eomtrueted£®The Point spread function of the motion blur is given According to the characteristics of blurred images the parameters of point spread function are estimated ,and three methods are introduced for image restoration. The three methods are inverse filtering of image restoration, Lucy-Richardson image restoration and Wiener image restoration. The principles of the three image restoration methods are analyzed. The motion blurred image restoration experiment is made. The results show that the visibility of the image is improved, and the image restoration is more stable.

A Research for Fuzzy Image Restoration

2014 ◽  
Vol 955-959 ◽  
pp. 1085-1088 ◽  
Author(s):  
Xue Feng Wu ◽  
Yu Fan
Keyword(s):  
Image Processing ◽  
Image Restoration ◽  
Physical Model ◽  
Digital Image Processing ◽  
Digital Image ◽  
Computational Photography ◽  
Processing Technology ◽  
Image Process ◽  
Resolution Algorithm ◽  
Fuzzy Image

Computational photography and image processing technology are used to restore the clearness of images taken in fog scenes autmatically.The technology is used to restore the clearness of the fog scene,which includes digital image processing and the physical model of atmospheric scattering.An algorithm is designed to restore the clearness of the fog scene under the assumption of the albedo images and then the resolution algorithm is analysised.The algorithm is implemented by the software of image process ,which can improve the efficiency of the algorithm and interface.The fog image and defogging image are compared, and the results show that the visibility of the image is improved, and the image restoration is more clearly.

Restoration of Medical Image Distortion Based on Improved Genetic Algorithm in Matlab Environment

2012 ◽  
Vol 538-541 ◽  
pp. 2097-2101
Author(s):  
Ming Zhu Lu ◽  
Si Xiang Zhang ◽  
Ping Hu ◽  
Hai Yi Sun
Keyword(s):  
Genetic Algorithm ◽  
Image Restoration ◽  
Medical Image ◽  
Simulation Experiment ◽  
Image Distortion ◽  
Improved Genetic Algorithm ◽  
Genetic Operator ◽  
Restoration Method ◽  
Fuzzy Image

In the process of imaging, transmission and recording, there would be some decline in the quality of medical image typically displayed as fuzzy image, distorition, noise, and so on. To remedy the defects of traditional genetic algorithm of image restoration, the image restoration method was presented based on coding design, species initialization, genetic operator and update mechanism. The simulation experiment on image distortion caused by motion was also carried out in MATLAB 7.0 environment.

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