Image Retrieval Technology and System Implementation of Handicraft Based on Genetic Algorithm
Yannan Cai · 2023
Aiming at the traditional image retrieval methods, the image retrieval method based on genetic algorithm and rough set is used to get the simplest visual feature subset of the image. As a machine learning algorithm, genetic algorithm has many advantages compared with other machine learning algorithms because of its inspiration from biological evolution. In order to make the image retrieval algorithm based on multi-features have better retrieval effect, this paper proposes an adaptive image retrieval algorithm based on genetic algorithm. Focusing on the adaptive image retrieval model based on genetic algorithm, based on the research of traditional image retrieval algorithm based on color moment, this paper puts forward a block weighted color moment algorithm to express the color features of images. In order to change the traditional way of finding the best weight by giving the weight manually, and make the algorithm more intelligent, this paper puts forward a genetic usurpation method to get the best solution of the weight and assign the weight automatically. An image retrieval system with human-computer interaction characteristics and easy operation is designed and implemented. This system can verify the performance of the proposed and improved algorithm and the traditional algorithm. Through statistical analysis of experimental data, the feasibility of this algorithm is proved.