用手机拍照+图像处理，自动测量稻米粒大小和数量。
Rice Grain Size Measurement using Image Processing
- 通过图像分割与轮廓优化，自动识别稻米粒
- 检测率达95%，长宽测量准确率90%
- 适合农业质检或粮食分级场景
稻米品质可通过粒径和垩白度判断。传统人工测量效率低且结果不一致。本研究提出基于图像处理的方法，输入稻米图像后可输出粒数及每粒的尺寸。方法包括感兴趣区域提取、稻米粒分割和次级轮廓去除等步骤。实验使用手机摄像头在不同高度拍摄的稻米图像进行测试，结果显示该方法成功检测了95%的稻米粒，长度和宽度测量准确率达到90%。
原文摘要 · Abstract (English)
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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