CAJ | 학술논문

玉米籽粒形状特征是玉米品质和品种判定的重要依据，利用机器视觉代替人的视觉对玉米籽粒品种或品质的自动检测是发展的必然趋势。为此，通过图像获取、颜色空间转换、图像分割、形态学处理、单籽粒图像的定位和拾取、特征参数提取等步骤实现了对玉米籽粒图像的特征提取。所采用的算法简洁、有效，对下一步玉米籽粒的自动检测工作具有重要的实际意义。
옥미자립형상특정시옥미품질화품충판정적중요의거，이용궤기시각대체인적시각대옥미자립품충혹품질적자동검측시발전적필연추세。위차，통과도상획취、안색공간전환、도상분할、형태학처리、단자립도상적정위화습취、특정삼수제취등보취실현료대옥미자립도상적특정제취。소채용적산법간길、유효，대하일보옥미자립적자동검측공작구유중요적실제의의。
The shape feature of maize is one of the important aspects of the quality of corn .Automatic detection using machine vision instead of human vision on maize seed quality is the inevitable trend of development .In this paper , we did image feature extraction on maize seeds by the processes of image acquisition , image color space conversion , image segmentation,morphological processing and characteristic parameters extraction.The algorithm we used is concise and effective.It is significance to the next automatic detection work of maize seeds .