Automatic Construction of Medical Image Processing and Recognition based on Machine Learning and Evolutionary Computation

Abstract

This paper describes Evolutionary Image Processing and Recognition which generate image processing and recognition procedures automatically by using machine learning and evolutionary computation. After the basic technologies are outlined, several practical methodologies are described. As the examples of Evolutionary Image Processing, automatic construction of two dimensional, three dimensional and motion image processing are shown. Moreover, the author describes the method of greatly improving the recognition ratio of images by optimizing features and preprocessing based on Evolutionary Image Recognition.