 The three color texture analysis techniques were compared for their effectiveness in classifying images from the Vistex and OutX databases. The results showed that the multispectral approach was the most successful, with accuracy rates of 97.9% and 94.9% respectively. The joint color texture approach was also effective, achieving accuracy rates of 96.8% and 91%. However, the quantization technique did not perform as well, with accuracy rates of 83.6% and 68.4%. The multispectral approach was found to be faster than the other two methods, making it suitable for use in real-time applications. Additionally, the decomposition of each method revealed insights into how they work, allowing researchers to better understand the underlying principles behind them. This article was authored by Vincent Arvis, Christophe Dabin, Michel Burgicat, and others. We are article.tv, links in the description below.