In this work, we demonstrate the promise and perils of texture analysis and texture synthesis applied to near-regular patterns. We propose a novel view of texture as statistical departures from regular patterns. We shall show that a true understanding of near-regular texture structures based on their translation symmetries can enhance existing methods of texture synthesis. Our texture synthesis...

Texture is an important spatial feature, useful for identifying objects or regions of interest in an image. One of the most popular statistical methods used to measure the textural information of images is the grey-level co-occurrence matrix (GLCM). The other statistical approach to texture analysis is the texture spectrum approach. The present paper combines the fuzzy texture unit and GLCM app...