Detection of Bamboo Leaf Area Based on Self-made Colored Base Plate and Spectral Features
In order to detect the single leaf area of healthy and diseased bamboo leaves quickly and accurately,a leaf area detection method based on self-made colored base plate and spectral features(CBP-SF)is proposed.The base plate is designed according to the spectral characteristics of the leaf.However,the image segmentation is performed using band calculation,fragment filtering and adaptive thresholding methods,and then the reference is cut according to the size of the bamboo leaf,and finally the number of image elements in the leaf region and reference rectangle are counted and the leaf area is calculated.Comparison with the random forest(RF),the maximum inter-class variance(OTSU)and the leaf area meter(LAM)methods shows that CBP-SF＞RF＞OTSU =LAM for healthy bamboo leaves,CBP-SF＞RF＞OTSU＞LAM for diseased leaves and CBP-SF＞RF＞OTSU＞LAM for the whole sample of bamboo leaves.CBP-SF has the ability to detect single leaf area of healthy and diseased bamboo leaves.
colored base platespectral featuresimage segmentationbamboo leafleaf area detection
万方数据
维普
