A novel example-based process for Automated Colorization of grayscale images using Texture Descriptors (ACTD) without any human intervention is proposed. By analyzing a set of sample color images, coherent regions of homogeneous textures are extracted. A multi-channel filtering technique is used for texture-based image segmentation, combined with a modified Fuzzy C-means (FCM) clustering algori...

The textures associated with a point defect centered in a circular domain of a thin film with XY-like ordering have been analyzed. The family of equilibrium textures, both stable and metastable, can be classified by a new radial topological number in addition to the winding number of the defect. Chiral textures are supported in an achiral system as a result of spontaneously broken chiral symmet...

There are some types of nature elements that are adequately represented in Computer Graphics only through volumes. In order to visualize scenes with volumes, together with geometrical objects, it is necessary to make use of a hybrid rendering algorithm. However, the presence of volumetric elements heavily increases the visualization processing time, independently of the technique being used. Th...

Dynamic textures can be defined as repetitive patterns that exhibit both spatial and temporal coherence. The problem of capturing this intrinsic behavior of a dynamic texture by learning a model from an input video is addressed. Application of a model-based method to dynamic texture synthesis, video compression and videoediting is demonstrated. Results from a method for segmentation of multiple...

The processing, description and recognition of dynamic (time-varying) textures are new exciting areas of texture analysis. Many real-world textures are dynamic textures whose retrieval from a video database should be based on both dynamic and static features. In this article, a method for extracting features revealing fundamental properties of dynamic textures is presented. These features are b...

An algorithm for synthesizing color textures from a small set of parameters is presented in this paper. The synthesis algorithm is based on the 2-D moving average model, and realistic textures resembling many real textures can be synthesized using this algorithm. A maximum likelihood estimation algorithm to estimate parameters from a sample texture is also presented. Using the estimated paramet...

Some textures invite human touch motions in daily life, but studies on the methodology of designing such textures have just been initiated [1,2,3]. However, there is still no method of identifying various touch motions invited by these textures. For example, some textures are likely to invite stroking, while others are likely to invite pushing. We developed a Bayesian network model that represe...

Texture can be an effective source of information for perception of slant and curvature. A computational assumption required for some texture cues is that texture must be flat along a surface. There are many textures which violate this assumption, and have some sort of texture relief: variations perpendicular to the surface. Some examples include grass, which has vertical elements, or scattered...

This paper addresses the synthesis of near-regular textures, i.e. textures that consist of a regular global structure plus subtle yet very characteristic stochastic irregularities. Such textures are difficult to synthesize due to the complementary characteristics of these structures. In this paper, we propose a method which we call Random Sampling and Gap Filling (RSGF) to synthesize near-regul...

Textures can describe a wide variety of natural phenomena with random variations over repeating patterns. Examples of textures include images, motions, and surface geometry. Since reproducing the realism of the physical world is a major goal for computer graphics, textures are important for rendering synthetic images and animations. However, because textures are so diverse it is difficult to de...