地表秸秆覆盖度图像识别技术的研究

农田地表秸秆覆盖是防止水土流失的一项主要措施,研究秸秆覆盖度与土壤风蚀、水蚀的定量关系对农田采取合理的覆盖形式有重要的指导意义。针对当前主要靠手工测试秸秆覆盖度存在效率低的问题,研究了如何应用MATLAB语言强大的图像处理功能来识别、分析秸秆图像。通过对样本图像类型的转换、灰度的均衡化和中值滤波等一系列的处理,得出较准确的秸秆覆盖面积和秸秆覆盖百分比,为准确快速测量秸秆覆盖度提供了测试手段。

Study on the Image Identify Methods about Degree of Soil Straw Cover

The soil straw cover of farmland is a main method to prevent the soil and water erosion,it is very important to research the relation between the straw cover and the wind erosion. Which is useful to adopt reasonable straw cover for farmland. Aim at the question not to measure the degree of straw cover effectively with hands,this thesis introduces how to analyse the figure about straw with Matlab language. It accomplish the process by switching the image type,equalization the gray scale,median filtering and getting the true results,and it provide a method to measure the degree of the straw cover fleetly and correctly.