抽象的な

MATCHING OF DIFFERENT RICE GRAINS USING DIGITAL IMAGE PROCESSING

R.Kiruthika, S.Muruganand, Azha Periasamy

Different type of rice grain varieties is studied using image processing techniques. In the present work a digital imaging approach has been devised in order to investigate different types of characteristics to identify the rice varieties. Two different common rice varieties were used in tests for defining. These include existing standards for rice length, area and aspect ratio features of rice. It successfully shows the effectiveness of compactness as its features. When the data base of this work can recognize the rices, which has been trained the data in number of time; and hence it has been identified.