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[Digital Identification Based on Image Processing for Mountain Cultivated Ginseng].
Summary
This study developed a digital method for identifying mountain cultivated ginseng. Image analysis achieved a 96% recognition rate, enabling fast and accurate, undamaged identification.
Area of Science:
- Agricultural Science
- Computer Science
- Botany
Background:
- Traditional identification of mountain cultivated ginseng is subjective and time-consuming.
- There is a need for objective, efficient, and non-destructive methods for ginseng authentication.
Purpose of the Study:
- To develop and validate a digital identification method for mountain cultivated ginseng using image processing.
- To establish a digital database model for mountain cultivated ginseng based on extracted image features.
Main Methods:
- Ginseng images were processed using MATLAB 2014a software.
- Key features (shape, color, texture) were extracted from ginseng rhizome, body, grain, peel, and fibrous root.
- A digital database model for mountain cultivated ginseng was created.
Main Results:
- Image processing successfully extracted significant information from ginseng.
- The digital identification method achieved a 96% recognition rate for mountain cultivated ginseng.
- The method proved to be fast, accurate, and non-destructive.
Conclusions:
- Digital identification based on image processing is effective for mountain cultivated ginseng.
- The developed method offers a reliable and efficient approach for ginseng authentication.
- This technology facilitates the accurate and undamaged assessment of ginseng quality.
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