Abstract
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.
Abstract (translated)
稻谷的质量可以通过其大小和垩白度来确定。传统上，测量稻谷尺寸的方法是手动检查，这种方法效率低下且结果不一致。为了解决这一问题，在本次研究中提出并开发了一种基于图像处理的方法。该方法以稻谷的图片作为输入，并输出稻谷的数量以及每粒稻谷的大小。文中讨论了所提出的方案涉及的不同步骤，包括感兴趣区域的提取、稻谷的分割和次轮廓的移除等。 该方法在使用手机摄像头从不同高度拍摄的稻谷图像上进行了测试。获得的结果表明，所提出的方法成功检测出了95%的稻谷，并且在长度和宽度测量方面达到了90%的准确率。
URL
https://arxiv.org/abs/2503.03214
