Texture constitutes one of the fundamental properties of objects, besides color and shape. In several image analysis applications it is often the only exploitable quality of objects. As such, it has been studied, described, segmented, synthesized or in short analyzed, extensively. Among the plethora of texture description methods, mathematical morphology deserves special attention, as it excels...

Because object geometry varies at many scales, it is often convenient to distinguish shape from texture. While shape is a deterministic macroscopic description, texture is a finer scale geometric description with some repetitive or random component. The distinction between texture and shape is important when developing object recognition systems. Acquiring fine scale geometry is difficult due t...

This paper presents an open-system approach to color texture recognition and retrieval. Several new compact texture descriptors are used in order to achieve a good recognition and retrieval performance. The IRIS system is an easy-to-use, user-friendly Matlab toolbox, which allows the user to browse image databases according to different paradigms. Indexing terms color texture description, color...

MPEG7 standardization work has started with the aims of providing fundamental tools for describing multimedia contents. MPEG7 defines the syntax and semantics of descriptors and description schemes so that they may he used as fundamental tools for multimedia content description. In this paper, we introduce a texture based image description and retrieval method, which is adopted as the homogeneo...

Recently, a nonparametric approach to texture analysis has been developed, in which the distributions of simple texture measures based on local binary patterns (LBP) are used for texture description. The basic LBP encodes 256 simple feature detectors in a single 3x3 operator. This paper shows that a properly selected subset of patterns encoded in LBP forms an efficient and robust texture descri...

This article presents an abstract computation model of the evolution of camouflage in nature. The 2D model uses evolved textures for prey, a background texture representing the environment, and a visual predator. A human observer, acting as the predator, is shown a cohort of 10 evolved textures overlaid on the background texture. The observer clicks on the five most conspicuous prey to remove (...