Texture features for browsing and retrieval of image data

TLDR

Image content based retrieval is emerging as an important research area with application to digital libraries and multimedia databases. The paper focuses on image processing aspects, specifically using texture information for browsing and retrieval of large image data. The authors propose using Gabor wavelet features for texture analysis and conduct a comprehensive experimental evaluation. Comparisons with other multiresolution texture features on the Brodatz database show that Gabor wavelet features yield the highest pattern retrieval accuracy, and the method is demonstrated on browsing large air photos.

Abstract

Image content based retrieval is emerging as an important research area with application to digital libraries and multimedia databases. The focus of this paper is on the image processing aspects and in particular using texture information for browsing and retrieval of large image data. We propose the use of Gabor wavelet features for texture analysis and provide a comprehensive experimental evaluation. Comparisons with other multiresolution texture features using the Brodatz texture database indicate that the Gabor features provide the best pattern retrieval accuracy. An application to browsing large air photos is illustrated.