Head Rice Rate Detection Method Based On Image Processing And Accuracy Analysis

Rice is one of the important food crops. Head rice rate is an important factor of rice quality and an important indicator of the acquisition of rice. But China still re-mains in the manual head rice rate inspection stage, so the detection is time-consuming, the test results are not objective and not accurate enough. The head rice rate automatic detection method can save time and reduce staff workload, can also improve the objec-tivity and accuracy.Firstly, the head rice rate automatic detection method of this study is based on digital image processing. The rice image is obtained by the scanner. The single rice image is obtained using image processing technology. Image binarization is done by the two-dimensional Otsu threshold segmentation. Image denoising method based on the selected area of image is used. Therefore, it can avoid the interference of noise and keep the original rice information. Through the experimental comparison, the special point segmentation algorithm is chose to perform the separation. It can keep the rice information and avoid excessive over-segmentation situation.Secondly, according to the national standard, the distinction between head rice and broken rice is based on rice length. Because that the rice can be approximated as ellipse, the MER method is used to calculate the length of the rice which can achieve accurate results and the computing speed can be increased by MER vertex chain code algorithm.Thirdly, according to the national standard, the head rice rate is defined as the weight rate of the head rice and the whole sample rice. Because that the head rice rate detection method based on digital image processing can’t weight the rice, the common method is to use the rate of area. Because the thickness of the rice is not completely the same, estimating head rice rate by volume of rice will be better than the area method. This thesis sets the three-dimensional model of rice, and calculates the volume accord-ing to the two-dimensional image. Then it calculates the head rice rate by the rate of volume. The method is more accurate and closer to the national standard requirements.Finally, the precision analysis is important. It needs multiple sets of experiments. The area calculation accuracy analysis, the analysis of the whole rice and broken rice area, the rice volume and shape, the length analysis of rice, the comparison of the two method of head rice rate and the analysis of the head rice rate of the slender rice are completed.The calculation of the head rice rate is based on image processing methods. It can detect the head rice and broken rice accurately and can save time and labor cost. The accuracy of this detection method is higher than98%.