Applying Wavelet Transformation and Varied Local Edge Patterns to Plants Classification

A method on green plants recognition based on wavelet transform and varied local edge patterns (VLEP) is proposed in this paper. Firstly the original image is decomposed by wavelet transformation. Then texture features are extracted using VLEPs. At the same time, block-based and multi-resolution ideas are considered together to extract features after images are transformed by wavelet. Finally, the fused texture features are classified by the nearest neighbor method. The experimental results show that the proposed method is a promising method for recognizing the green plants. And combination of block-based and multi-resolution ideas can further improve the accuracy effectively.