In the present paper, a novel method of partial differential equation (PDE) based features for texture analysis using wavelet transform is proposed. The aim of the proposed method is to investigate texture descriptors that perform better with low computational cost. Wavelet transform is applied to obtain directional information from the image. Anisotropic diffusion is used to find texture appro...

We present a nonparametric facial feature localization method using relative directional information between regularly sampled image segments and facial feature points. Instead of using any iterative parameter optimization technique or search algorithm, our method finds the location of facial feature points by using a weighted concentration of the directional vectors originating from the image ...

This paper presents a novel method to convert a photograph into a stipple illustration. Our method addresses directional stippling, where the collective flows of dots are directed parallel and/or orthogonal to the local feature orientations. To facilitate regular and directional spacing of dots, we introduce the notion of a structure grid, which is extracted from the smoothed feature orientatio...

In this paper, a content-adaptive deblocking method is proposed to improve the visual quality of block-based DCT compressed videos. We find that the edge information obtained through the global orientation energy edge detection (OEED) on an initially deblocked image provides a robust partition of local directional features (LDFs). Based on this partition, for the directional featured region, we...

Abstract: Traditional 2-D Discrete wavelets transform (DWT) implemented by separable 1-D transform in horizontal and vertical directions does not take image orientation features in a local window into account. However, the lifting scheme provides a general and flexible tool for the construction of wavelet decompositions and perfect reconstruction filter banks. To improve it, we propose to intro...

Control chart pattern recognition is one of the most important tools to identify the process state in statistical process control. The abnormal process state could be classified by the recognition of unnatural patterns that arise from assignable causes. In this study, a wavelet based neural network approach is proposed for the recognition of control chart patterns that have various characterist...

In this paper, we describe the vision system for the DeWaLoP (Developing Water Loss Prevention) robot. The robot working environment is inside a pipe (a cylinder), which fits perfectly to the vision system, based on omni-directional cameras. By unrolling the omni-directional camera image to a panoramic image, the circular features of the pipe become linear and by adding a line tracking algorith...

Targets and objects registration and tracking in a sequence of images play an important role in various areas. One of the methods in image registration is feature-based algorithm which is accomplished in two steps. The first step includes finding features of sensed and reference images. In this step, a scale space is used to reduce the sensitivity of detected features to the scale changes. Afterw...

This paper presents a Gaussian Mixture Model (GMM) to identify the script of handwritten words of Roman, Devanagari, Kannada and Telugu scripts. It emphasizes the significance of directional energies for identification of script of the word. It is robust to varied image sizes and different styles of writing. A GMM is modeled using a set of six novel features derived from directional energy dist...

In a current research project, our group is developing a 3D Spatial Query Language that enables the spatial analysis of Building Information Models and the extraction of partial models that fulfil certain spatial constraints. Among other features, the spatial language includes directional operators, i.e. operators that reflect the directional relationships between 3D spatial objects, such as no...