Content-Based Image Retrieval (CBIR) plays a crucial role in efficiently searching and retrieving images from vast databases. This comprehensive survey investigates the application of color and texture features in CBIR systems. We explore the evolution of CBIR technology, delve into various color and texture feature extraction techniques, and examine their impact on retrieval performance. The study provides valuable insights into the state of the art in CBIR, offering a foundation for researchers and practitioners seeking to enhance image retrieval using color and texture features.