Research on Feature Parameter Extraction and Health Analysis Method of UHV DC Converter Valve

2021 ◽  
Author(s):  
Zhiguang Lin ◽  
Junda Qin ◽  
Yu Bai ◽  
Lei Shi ◽  
Jianwei Yang ◽  
...  
Keyword(s):  
Parameter Extraction ◽  
Analysis Method ◽  
Feature Parameter

Online Feature Parameter Extraction for Pulsed Magnets

2014 ◽  
Vol 24 (3) ◽  
pp. 1-3 ◽  
Author(s):  
Houxiu Xiao ◽  
Tao Peng ◽  
Zhongyu Zhou ◽  
Liang Li
Keyword(s):  
Parameter Extraction ◽  
Feature Parameter ◽  
Pulsed Magnets

Infrared multi-spectral design based on point target feature parameter extraction

2020 ◽  
Vol 49 (5) ◽  
pp. 20190462 ◽  
Author(s):  
谷牧 Mu Gu ◽  
任栖锋 Qifeng Ren ◽  
廖胜 Sheng Liao ◽  
周金梅 Jinmei Zhou ◽  
赵汝进 Rujin Zhao
Keyword(s):  
Parameter Extraction ◽  
Target Feature ◽  
Point Target ◽  
Feature Parameter ◽  
Spectral Design

Research on the Feature Parameter Extraction of Wheat Seeds’ Bad Point Based on Image Processing

2014 ◽  
Vol 644-650 ◽  
pp. 4140-4143
Author(s):  
Zhe Wen ◽  
Qian Dong ◽  
Jie Zhu ◽  
Ya Bin Fan
Keyword(s):  
Image Processing ◽  
Feature Extraction ◽  
Parameter Extraction ◽  
Extraction Methods ◽  
Automatic Extraction ◽  
Wheat Seed ◽  
Manual Operation ◽  
Feature Parameter ◽  
Wheat Seeds

It is very important that study the feature parameter extraction of bad point of wheat seeds based on image processing for judging the quality of wheat. Using image processing extract and analyze the collected images information, and based on the collected information analyze the bad point information of wheat seed, then extract the feature parameters. Traditional bad point’s feature extraction methods are completed by the manual operation, and the efficient is lower. Currently, by means of image processing technology can extract the bad point’s feature of wheat seed automatically. To this end, the research status of seed feature extraction based on image processing are reviewed and prospected. Experiments show that the method can better complete the bad point’s feature automatic extraction and recognition of wheat seeds.

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