A 2D Texture Image Retrieval Technique based on Texture Energy Filters

In this paper, a database of texture images is analyzed by the Laws’ texture energy measure technique. The Laws’ technique has been used in a number of fields, such as com puter vision and pattern recognition. Although most applications use Laws’ convolution filters with sizes of 3× 3 and 5× 5 for extracting image features, our experimental system uses extended resolutio ns of filters with sizes of 7×7 and 9×9. The use of multiple resolutions of filters makes it possible to extra c various image features from 2D texture images of a database. In our study, the extracted image features wer e selected based on statistical analysis, and the analysis results were used for determining which resolutio ns f features were dominant to classify texture images. A texture energy computation technique was impleme nted for an experimental texture image retrieval system. Our preliminary experiments showed that the system can classify certain texture images based on texture features, and also it can retrieve texture images re flecting texture pattern similarities.