Colour and texture characteristics convey most of the information of an image and influence human perception as contributing factors to perceived preference. How the colour, together with the texture characteristics affects fabric image preference is not fully understood. In the present study, we firstly took texture characteristics from the perspective of image analysis techniques into consideration to evaluate the role of colour and texture in fabric image preference. The results showed that, even though colour characteristics play an important role, the addition of texture features, lead to better predictive performance in the evaluation of fabric image preference using machine learning techniques.