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Your search keyword '"Zou, Xiaohong"' showing total 2 results
Start Over Author "Zou, Xiaohong" Topic digital processing
2 results on '"Zou, Xiaohong"'

1. A research on detecting and recognizing bridge cracks in complex underwater conditions

Author

Wang Tao, Du Tao, Zou Xiaohong, and Sun Yiming

Subjects
Crack detection, Digital processing, Image analysis, Mechanical engineering and machinery, TJ1-1570, Structural engineering (General), TA630-695
Abstract

The method aims to recognize and extract the characteristic parameters of bridge cracks based on images of the cracks obtained through the application of preprocessing technologies, such as graying, graphical enhancements, spatial filtering, gray-level threshold segmentation, etc.. The approach has been tested for accuracy to avoid the incorrect identification of chaff as a method error. The proposed method has proved to be rather accurate and effective in extracting information on cracks from the bridge image tests.

Published
2014
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2. A research on detecting and recognizing bridge cracks in complex underwater conditions

Author

Du Tao, Wang Tao, Sun Yiming, and Zou Xiaohong

Subjects
Engineering, Spatial filter, business.industry, Mechanical Engineering, lcsh:Mechanical engineering and machinery, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, lcsh:TA630-695, Digital processing, Structural engineering, lcsh:Structural engineering (General), Bridge (nautical), Image (mathematics), Image analysis, Identification (information), Crack detection, Mechanics of Materials, Preprocessor, Computer vision, Segmentation, lcsh:TJ1-1570, Artificial intelligence, ComputingMethodologies_GENERAL, Underwater, business
Abstract

The method aims to recognize and extract the characteristic parameters of bridge cracks based on images of the cracks obtained through the application of preprocessing technologies, such as graying, graphical enhancements, spatial filtering, gray-level threshold segmentation, etc.. The approach has been tested for accuracy to avoid the incorrect identification of chaff as a method error. The proposed method has proved to be rather accurate and effective in extracting information on cracks from the bridge image tests.

Published
2014

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