论文部分内容阅读
针对苗木分级领域的实际需要及国际苗木分级技术发展状况，研究、设计了针叶树种计算机视觉苗木自动分级系统。该系统应用计算机视觉技术和神经网络技术，通过对苗木图像的处理，在实验室中实现对苗木的自动分级。实验研究表明，计算机视觉自动分级系统在苗木分级领域中具有良好的应用前景。
According to the actual needs of seedling grading and the development of international seedling grading technology, research and design of coniferous plant computer vision seedling automatic grading system. The system uses computer vision technology and neural network technology, through the nursery stock image processing, seedling in the laboratory to achieve automatic grading. Experimental results show that computer vision automatic grading system has a good application prospect in the field of seedling grading.