Texture representation based on pattern map

Abstract

We propose a pixel-pattern-based texture feature (PPBTF) which is insensitive to variance of illumination. A gray scale image is transformed into a pattern map where edges and lines (bars) to be used for characterizing the texture information are classified by pattern matching. Based on the pattern map, a feature vector is comprised of the numbers of the pixels belonging to each pattern. We use the image basis functions obtained by principal component analysis as the templates for pattern matching. The characteristics of the feature is comprehensively analyzed through an application to texture image segmentation. Comparisons with multichannel filtering methods show that PPBTF feature is quite time saving and free of the influence of illumination.