This paper presents a new approach of rotation invariant texture analysis. Robust rotation invariant textures are important for digital image libraries and multimedia database. Here a method for application of rotation variant Traditional Gabor Filter (TGF) for rotation invariant texture analysis is presented. The orientation of the texture is determined using radon transformation. Once the rot...

Linear discriminant analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition. However, an intrinsic limitation of LDA is the sensitivity to the presence of outliers, due to using the Frobenius norm to measure the inter-class and intra-class distances. In this paper, we propose a novel rotationa...

Abstract Local Binary Pattern (LBP) is a simple yet very efficient texture operator which labels the pixels of an image by threshold the neighbourhood of each pixel and considers the result as a binary number. Due to its discriminative power and computational simplicity, LBP texture operator has become a popular approach in various applications. It can be seen as a unifying approach to the trad...

This work proposes using image segmentation to improve entropybased registration by selecting the most physically invariant component(s) between the images and registering said components. A segmentation algorithm has been devised and herein presented that, given parameters of the physically invariant structure’s intensity, can segment out the physically invariant structures in an image; these ...

High-order Hu moment invariant functions have always been required to solve a variety of problems. Up to this point, there was no generalized approach to extend the first six Hu moment invariants to higher orders. Therefore, this paper presents a generalized algorithm to determine rotationally invariant Hu moment invariants of any desired order, which are invariant to scaling, translation and r...

A new texture representation framework called statistical binary patterns (SBP) is presented. It consists in applying rotation invariant local binary pattern operators (LBP) to a series of moment images, defined by local statistics uniformly computed using a given spatial support. It can be seen as a generalisation of the commonly used complementation approach (CLBP), since it extends the local...

The color feature could be well represented in a feature and shape is a distinguishable feature which can make coarse discriminations quickly. Based on those reasons, we present an efficient image retrieval system to consider simultaneously accuracy and performance by combining color moment with shape contexts in this paper. The shape rotation has significant influence on the similarity measure...

Most popular hand-crafted key-point detectors such as Harris corner, SIFT, SURF aim to detect corners, blobs, junctions, or other human-defined structures in images. Though being robust with some geometric transformations, unintended scenarios non-uniform lighting variations could significantly degrade their performance. Hence, a new detector that is flexible context change and simultaneously b...

Comparisons are made of the translational and rotational diffusion of small-molecule probes in a polymer near its glass transition temperature, Tg . In the rubbery state, 1.1Tg . T . Tg, translational diffusion is much less temperature dependent than rotational reorientation; in a “quenched” glass, translation and rotation have similar temperature dependencies. This is explained to be a consequ...