## Abstract ## Background Because different spectral sensitivities of human eye and image sensor lead to different perception of fluorescence signals, data generation is an important step in image analysis, because following work steps depend on it. ## Methods We developed a method to determine
Automatic Quality Control of Cereals : Image Acquisition and Intelligent Image Analysis
β Scribed by Petra Perner
- Publisher
- Wiley (John Wiley & Sons)
- Year
- 2008
- Weight
- 403 KB
- Volume
- 10
- Category
- Article
- ISSN
- 1439-4243
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β¦ Synopsis
The increasing demands on the quality and consumption safety of grain imply, for food economy, increased expenditures for product and process supervision. Within the framework of the control of goods received and quality of the processing industries, various laboratory methods are applied at present to check the properties of the products and the observance of the standards. The control of the goods received decides whether the supplied goods will be accepted and allocated the status "healthy and customary" or whether the goods before storage in the silo have to be subjected to a special treatment in order to reduce impurities, moisture, etc. The evaluation of the quality features is especially important in order to store together grain of special quality grades or to process with regard to the desired quality grade of the final product.
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