Colour texture analysis A comparative study

In this paper we focus on classi cation of colour texture images The main objective is to determine the contribution of colour information to classi cation performance Three relevant approaches to greyscale texture analysis namely Local Linear Trans forms Gabor ltering and Co occurrence are extended to colour images They are evaluated in a quantitative manner by means of a comparative experiment on a set of colour images We also investigate the e ect of using di erent colour spaces and the contribution of colour and texture features separately and collectively The evaluation criteria is the classi cation accuracy with a neural network classi er based on Learning Vector Quantization