Technical Name |
Automatic image processingpest detection algorithms for X-ray fruit images |
Project Operator |
National Taiwan University/Chung Hsing University |
Project Host |
周呈霙 |
Summary |
The technology can automatically identify areas infected by pests in the X-ray images. The operation principle includes several consecutive image processing procedures. Because pest left an obvious contrast in X-ray images of fruit with certain damage type patterns, they can be utilized by image processing technology to render computerized aided image recognition. Therefore, the pest infected areas can be automatically found to screen out those containing pests. |
Scientific Breakthrough |
The system offers the very first fast, objectivenon-disruptive fruit inspection method to substitute the labor-intensive dissection method to substantially lower returndestroy rates. The accuracy exceeds 99our pest database facilitates further big data analysis. The commercialization of developed technology in the fields of agricultural product quarantineplant health inspectio |
Industrial Applicability |
"1. X ray is moving into a portable, PC-based directioncost less
2. Available for international promotion such as ThailandUS Dep. of Agriculture to effectively reduce loss caused by insect pest. Know-how accumulated can be further applied to medical sectorcustoms inspection
3. Agricultural application requires no FDA which increases industrial investment willingness"
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Keyword |
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