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Abstract

Computer-aided inspection (CAI) is the use of computer-based software tools that assist quality engineers, machinists, and inspectors in manufacturing product components. The quality of rice is determined by physical (visual) and chemical character (laboratory test). Of the two characters, to test the quality of rice using laboratory tests is very time consuming, as for one relatively fast way of determining the quality of rice is the aspect of the shape and appearance of rice which consists of length (size) and grain shape physically. The image analysis algorithms are applied to an image in which rice grains are randomly placed and spread in one layer.In this study, image processing algorithms were developed to identify rice grains based on morphological characteristics, namely the size and shape of rice grains. After getting the values for length and breadth, the length-breadth ratio is to be calculated. From the analysis that has been done, it can be concluded that the resulting model has an accuracy rate of about 93.3%, so it has a good level of accuracy.