A study of automatic recognition and counting system of urine-sediment visual components

This paper discusses how to develop automatic recognition and count system for urine-sediment visual components. With the help of image processing technology, image segmentation, representation and description, geometric features and texture features have been extracted. The urine-sediment visual components are categorized and counted through micro-image automatic recognition and count system with neural network classifier based on genetic algorithm.