Designing effective features is a fundamental problem in computer vision. However, it is
usually difficult to achieve a great tradeoff between discriminative power and robustness …

In this paper, we propose a simple, efficient, yet robust multiresolution approach to texture
classification-binary rotation invariant and noise tolerant (BRINT). The proposed approach is …

This paper presents a technique for content-based image retrieval (CBIR) by exploiting the
advantage of low-complexity ordered-dither block truncation coding (ODBTC) for the …

Effective characterization of texture images requires exploiting multiple visual cues from the
image appearance. The local binary pattern (LBP) and its variants achieve great success in …

This paper presents a new approach to index color images using the features extracted from
the error diffusion block truncation coding (EDBTC). The EDBTC produces two color …

Optical coherence tomography (OCT) is a light-based intracoronary imaging modality that
provides high-resolution cross-sectional images of the luminal and plaque morphology …

Most of the existing traffic sign recognition (TSR) systems make use of the inner region of the
signs or the local features such as Haar, histograms of oriented gradients (HOG), and scale …

Person description is a challenging problem in computer vision. We investigated two major
aspects of person description: 1) gender and 2) action recognition in still images. Most state …

The current scenario of image retrieval pays attention to local texture patterns. The recently
proposed Local Tetra Pattern (LTrP) represents the image by the directional information and …

Although it has been widely discussed in video surveillance, background subtraction is still
an open problem in the context of complex scenarios, eg, dynamic backgrounds …