Static detection of UML diagrams
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This flowchart outlines the process of static detection of UML diagrams using advanced image processing techniques. It begins with importing images and folders, followed by preprocessing steps such as brightness and contrast adjustments, and FNMLD denoising. Utilizing OpenCV and YOLOv3 algorithms, the diagrams undergo image enhancement and restoration to optimize detection accuracy. The process includes image information preview, trace analysis, and result analysis to ensure precise detection. The output is user-oriented, providing a streamlined approach to effectively detect and analyze UML diagrams.
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OpenCV
Algorithm selection
Import folder
Image Information Preview
Trace
Output: User
Image Enhancement
Import function
Image restoration
YOLOv3
Result Analysis
Preprocessing
Brightness Contrast
Detection
FNMLD denoising
Image Processing
Import image
Static detection
Image optimization
Collect
Collect
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