Corn tassel segmentation method based on color features is proposed. An algorithm based on twodimensional Otsu algorithm and the lateral inhibition network is used to segment Cr component of corn tassel image in YCbCr color space

the same segment method is used again to segment super-green image of corn tassel image

taking the same part of Cr segmentation image and super-green segmentation image as corn tassel segmentation image

remove the small area connected domain and get the corn tassel segmentation image. In order to verify the effectiveness of the proposed algorithm

the corn tassel images in different growth environment is selected to carry out comparative experiment

the proposed method

2D Otsu and 2D Otsu method based on lateral inhibition.Experimental results show that this method has good immunity and it is robust to the growth environment.