Plant Similarity Analysis Based on Fourier Spectrum and Its Angular and Radial Features
傅里叶频谱径角特征的植物相似性

A new texture feature extraction method is proposed, which is based on Fourier Spectrum Features Using Angular and Radial Partitioning, conducting the similarity measure experiment on microscopic image of vine. compared with two common texture feature extraction method, the results are more accurate to define and describe texture characteristics and similarity measure of the vine image.