关键词: 叶片分类, 形状特征, 纹理, 反向传播（BP）神经网络

Abstract: Recognition of plants based on plant leaves is of important aid for biological and ecological sciences. An algorithm for leaf classification based on shape and texture features is presented. Following the preprocessing of image denoising, the leaf region is obtained through segmentation and mathematical morphological operations. Shape features are extracted from the segmented binary region image, and texture features are extracted from the gray-scale image. A BP forward neural network with the features as inputs is adopted for classification. Experimental results on real-world images show that higher classification accuracy can be achieved by the proposed method compared with existing algorithms.

Key words: leaf classification, shape feature, texture, Back Propagation（BP） neural network