Rice Grain Classification and Analysis using Image Processing

Different types of grains are available in our country. Out of which Rice is the major food grains used by the people. Quality is the important factor to be carried out for local and expert purposes. The quality analysis includes classifying the rice grains based on the features from which they differ. The distinct features include width, height, color, size attributes of the rice grains. The main aim of the paper is to provide the automatic solution to classify the rice grains using image processing technique. A database has been created by feeding and training the images of each variety of rice grains. By comparing the rice grain images with the image in the dataset, the classification and analysis is done. To detect the edges the several edge detecting techniques have been carried out. Out of which the Cannys edge detection gives the best results. The paper provides the clear analysis on the classification of rice grains and also determines the purity of the rice grains.