颜色空间图像处理技术在蔗节识别上的应用

Application of Color Space Image Processing Technology in Sugarcane Node Recognition

近年来,我国甘蔗机械化程度有所提高,但在甘蔗种植过程中,全自动化的联合种植机械装置还有待提高。为此,针对甘蔗种植机中甘蔗预切种的蔗节识别提出了基于颜色空间的图像处理,实现甘蔗种植机的蔗节切割智能化。甘蔗蔗节处具有拐点和灰度值不连续的特性,采用边缘拟合法和灰度值拟合法,并在此基础上使用中值决策法识别甘蔗蔗节。蔗节的颜色特征提取和处理算法的实验表明:蔗节识别效果的正确率可以达到94.7%,证明了中值决策法对甘蔗的蔗节识别有效,因此颜色空间视觉识别技术可作为甘蔗预切种中自动装备研制的理论依据。

In recent years,the mechanization degree of sugarcane in our country has been improved,but in the whole process of sugarcane planting,the fully automated joint plant equipment still needs to be improved.In this paper,the color space based image processing is proposed to identify the sugarcane cutting intelligentization of sugarcane planting machine in sugarcane planting machine.On the basis of the characteristics of the inflexion point and the discontinuous gray value at the sugarcane section,the edge fitting method and the gray value fitting method are proposed,and on this basis,the middle value decision method is proposed to identify the sugarcane cane.Through the experiment on the extraction and treatment of the color characteristics of the sugarcane,the accuracy of the recognition effect of the sugarcane section can reach 94.7%.It is proved that the median decision method is an effective method to identify the sugarcane on the cane.So the color space vision recognition technology can be used as the theoretical basis for the development of automatic equipment in sugarcane precut.