农田秸秆覆盖率检测方法与试验

针对秸秆覆盖率检测准确率易受光照不均匀影响以及现有检测方法对无秸秆图像检测精度较差的问题,提出一种基于图像行平均灰度标准差分类及图像分块可变阈值检测法.首先通过计算图像的行平均灰度标准差对图像进行分类,将标准差小于阈值的图像判断为无秸秆覆盖;然后将标准差大于阈值的图像划分成多个子块,对每个子块分别采用最大类间方差法进行...

Method and test of straw coverage detection in farmland

In order to solve the problems that straw detection accuracy is easily affected by uneven illumination and that the existing detection methods have poor detection accuracy for straws without images.This paper proposes a method of image line average gray level standard deviation classification and image block variable threshold method.Firstly,the images were classified by calculating the average gray standard deviation of the rows of the images,and the image whose standard deviation is less than the threshold value is judged as no straw mulching.Then the image whose standard deviation is greater than the threshold is divided into several sub blocks,and each sub block is segmented by Otsu algorithm.Finally,all the sub-blocks are recombined and the straw coverage of the target image is calculated by the basic morphological method.The experimental results show that the method greatly reduces the influence of uneven illumination on the detection results.The detection error of uniform straw distribution image is 2.87%,and the detection error of no straw mulching image is 0.45%,which can improve the applicability of the detection method of crop straw coverage rate.