Abstract

This article presents a method to identify good and bad grain and then they will be classified and processed. The algorithm mentioned here will determine the good and bad grain at high speed frame (18500 frames/s), and determine the speed of rice moving. The identification of better or worse than the threshold used in the algorithm are combination of light wavelengths and identify appropriate length of grain. This paper describes the experimental results: the influence of the light wavelength, the effect of image-capturing speed, identity technique and threshold filtering.

Highlights

  • Rice color separating is the high speed image processing system, it is able to classify many types different colors of rice to determine the best kind of rice that is pure white.For identifying accurately and promptly, we use the CCD line camera system has rate up to 18500 frame / s [1] with a reference appropriate wavelength

  • This paper describes the experimental results: the influence of the light wavelength, the effect of imagecapturing speed, identity technique and threshold filtering

  • One axis will move with high speed to symbolize the movement of grain, the inspectorial cameras are installed on the vertical axis

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Summary

Introduction

Rice color separating is the high speed image processing system (frame> 1000 frames / s), it is able to classify many types different colors of rice (white, yellow, crimson...) to determine the best kind of rice that is pure white.For identifying accurately and promptly, we use the CCD line camera system has rate up to 18500 frame / s [1] with a reference appropriate wavelength. ABSTRACT: This article presents a method to identify good and bad grain and they will be classified and processed. The algorithm mentioned here will determine the good and bad grain at high speed frame (18500 frames/s), and determine the speed of rice moving. The algorithm are combination of light wavelengths and identify appropriate length of grain.

Results
Conclusion
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