"基于颜色的图像检索原型开发及MATLAB仿真环境探讨"

Abstract Content-based retrieval of image databases has become increasingly popular in recent years. In order to develop algorithms for this purpose, testing and simulation tools are essential. However, there are currently no suitable commercial tools available on the market for this specific task. This paper presents a simulation environment for retrieving images from a database based on histogram similarities. This environment allows for the use of various color spaces and numbers of bins, providing flexibility and customization for different needs. The algorithms implemented in this environment are designed to effectively retrieve images based on their color content. The development of an efficient color-based image retrieval system is crucial for various applications, such as image search engines, medical imaging, and surveillance systems. By utilizing MATLAB, a powerful tool for algorithm development and simulation, this paper demonstrates the feasibility and effectiveness of prototype color-based image retrieval systems. Through the implementation of various algorithms and testing scenarios, this paper aims to showcase the potential of using color-based image retrieval techniques in real-world applications. The results and findings presented in this paper provide valuable insights for the further development and optimization of image retrieval systems based on color features.