Morphological Features Detection System of Trachitus Ovatus Fish
Lu CAO, Yugui HAN. Remote Internship Program of Beijing Normal University
- Designed a system to detect fish morphological features; Implemented the analysis module by C++ based on OpenCV; Implemented GUI interface for visualization by Qt framework. Proposed a fishtail contour fit method by image processing and curve fitting; Implemented a Machine Learning method Adaboost for locating and recognizing eye features. Three theses and two patents were published based on this project.
Morphological Features Detection System of Trachitus Ovatus Fish
Internship Project of Hainan University
- Designed a system to detect fish morphological features; Implemented the analysis module by C++ based on OpenCV; Implemented GUI interface for visualization by Qt framework. Proposed a fishtail contour fit method by image processing and curve fitting; Implemented a Machine Learning method Adaboost for locating and recognizing eye features. Three theses and two patents were published based on this project.
- Implemented a Machine Learning method Adaboost for locating and recognizing eye features; Optimized two fit methods for recognizing eye features. The speed of fishtail detection and fisheye feature detection increasing by 3 times and 12 times respectively.
