Image processing to identify damage to soybean seeds

ABSTRACT: In Brazil and worldwide, commercialization of soybeans is of great importance to the economy, making their quality considered. The presence of damaged soybean seeds decreases the added value of the product. Businesses need fast and effective techniques to maintain the quality. The present research aimed to identify, through image processing, damage caused to soybean seeds, namely the presence of greenish seeds and wrinkled seeds due to variations of humidity and temperature, where it was possible to identify greenish and wrinkled soybean seeds from images. Results obtained for greenish seeds indicated that the red color scale is the most suitable for selection due to its more significant variation compared to the other color scales. For the separation of wrinkled seeds, it can be stated that it is possible to find a selection parameter with 74.3% accuracy in removing seeds with medium to high degrees of wrinkle damage.

摘要：在巴西及全球范围内，大豆商业化经营对国民经济具有重要意义，其品质管控因此备受重视。破损大豆种子会降低产品的附加价值，相关企业亟需快速且有效的技术手段以保障产品品质。本研究旨在通过图像处理（image processing）技术识别大豆种子所受的损伤，具体包括因温湿度变化引发的青籽与皱缩籽问题，并实现了从图像中识别青籽和皱缩大豆种子的目标。针对青籽的检测结果表明，红色色阶相较于其他色阶具有更显著的差异，是最适用于筛选的色阶。对于皱缩籽的分选任务，本研究可实现以74.3%的准确率剔除中度至重度皱缩损伤的大豆种子。