The Feature Extraction and Classification of Leaves Based ANFIS
LI Yongliang
XIONG Changcheng
LIU Guoxun
Abstract：Research on feature extraction and classification of the leaves is a hot field. The difficulty of this kind of problems is that according to the image information leaves extracts a set of features, and then make the corresponding classification methods. First, for feature extraction, this paper adopts the corre?sponding feature geometry,Fourier descriptors and the fractal dimension of the feature description leaves. Finally the leaves are classitied by adopting ANFIS based sugeno fuzziness. Classification recognition rate is higher and can be applied to accurate classification.
Keywords：geometric characteristicFourier descriptorfractal dimension
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 388-392,420 )