Texture analysis is a very important area in the field of computer vision and related fields.
There are a good number of databases developed by different research groups for various …

Indoor-Outdoor scene classification problem have been proposed for almost 20 years and
widely applied to general scene classification, image retrieval, image processing and robot …

As the appearance of a 3D surface texture is strongly dependent on the illumination
direction, 3D surface-texture classification methods need to employ multiple training images …

In previous work, we examined how the apparent roughness of a textured surface changed
with direction of illumination. We found that observers exhibited systematic failures of …

The objective of this work is classifying texture from a single image under unknown lighting
conditions. The current and successful approach to this task is to treat it as a statistical …

Image representation under complex illumination condition is a great challenge in computer
vision field. Motivated by Weber law and synergistic center-surround receipt field model, we …

Content-based image retrieval (CBIR) systems, target database images using feature
similarities with respect to the query. We introduce fast and robust image retrieval measures …

With the exponential growth of storage of digital images, retrieval has become an impending
issue. Such large collection of data takes a considerable amount of time in retrieving images …

Rapid-transform based descriptor is proposed for texture classification against rotation
variations, illumination variations, as well as noise effect. The proposed descriptor is based …

Two fast illumination invariant image retrieval methods for scenes comprising textured
objects with variable illumination are introduced. Both methods are based on texture …