Geometric Feature Extraction of Selected Rice Grains using Image Processing Techniques

Abstract

Rice grains quality estimation is important in fulfilling customer requirements. Geometric features of grains are used to check the quality of rice grains. Mechanical classification methods are being used largely by local industry to grade different size of food grains on basis of geometric parameters. Image processing techniques can be applied to extract various features of rice grains and classifies the grains based on geometric features. This study proposed a method that processes the captured still digital image of rice grains. The program has been developed using MATLAB technology. The compiler of this technology was used to convert the program into standalone application. Application was embedded with MATLAB compiler runtime that enables the execution of compiled application on computers that do not have this technology installed.