使用图像处理进行米粒尺寸测量
Rice Grain Size Measurement using Image Processing
AI总结：
针对传统人工测量米粒尺寸效率低且结果不一致的问题，本研究提出一种基于图像处理的方法，通过提取感兴趣区域、分割及去除子轮廓等步骤检测米粒并测量尺寸，成功检测率达95%，长宽测量准确率达90%。
摘要：
米粒质量可通过其尺寸和垩白度来确定。传统的米粒尺寸测量方法依赖人工检查，效率低下且导致结果不一致。为解决此问题，本研究提出并开发了一种基于图像处理的方法。该方法以米粒图像为输入，输出米粒数量及每粒米的尺寸。本文讨论了该方法涉及的提取感兴趣区域、米粒分割及去除子轮廓等不同步骤。该方法在使用手机摄像头从不同高度拍摄的米粒图像上进行了测试。所得结果表明，该方法成功检测了95%的米粒，并在长宽测量中达到了90%的准确率。
英文摘要：
The rice grain quality can be determined from its size and chalkiness. The traditional approach to measure the rice grain size involves manual inspection, which is inefficient and leads to inconsistent results. To address this issue, an image processing based approach is proposed and developed in this research. The approach takes image of rice grains as input and outputs the number of rice grains and size of each rice grain. The different steps, such as extraction of region of interest, segmentation of rice grains, and sub-contours removal, involved in the proposed approach are discussed. The approach was tested on rice grain images captured from different height using mobile phone camera. The obtained results show that the proposed approach successfully detected 95\% of the rice grains and achieved 90\% accuracy for length and width measurement.
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