Classification of bamboo plant based on digital image processing by Central moment

There is advancement in every day for image classification starting from object classification to remote sensing image. Plant classification from their part is one of the most current research works going in the area of image processing. The proposed work is a new approach for bamboo species classification from their Culm sheath by using Central moment. Automated recognition of bamboo has not yet been well established mainly due to lack of research in this area, non-availability and difficulty in obtaining the database. Therefore need of recognition of bamboo species is required by the user. The proposed work is an automated classification of bamboo species system based on shape features of bamboo Culm sheath by using the central moment classifier. Four different bamboo species are taking for experiment in the proposed work. The results obtained shows considerable recognition accuracy proving that the techniques used is suitable to be implemented for commercial purposes.