Texture can describe a wide variety of surface characteristics and a key component for human visual perception and plays an important role in image-related applications. This paper proposes a scheme for texture image classification using visual perceptual texture features and Gabor wavelet features. Three new texture features which are proved to be in accordance with human visual perceptions ar...

This paper explores the use of the Gabor wavelet representation of an image for robust object tracking in robot vision (object grasping, gesture recognition and face tracking in human-robot interaction). For image decomposition we developed a fast non-iterative transform algorithm, in which the original image is processed with a 2D Gabor wavelet filter bank. We used the positions of the local e...

Recently, mura defect inspection techniques are receiving attention in LCD production procedure since demands of TFT-LCD are growing. In this paper, we propose an automatic mura defect inspection method using gabor wavelet transform and DCT. First, we generate a reference panel image using DCT based method. For original panel image and generated reference panel image, we apply a gabor wavelet t...

Gabor wavelet is considered the best mathematical descriptor for receptive fields in the striate cortex. As a basis function, it is suitable to sparsely represent natural scenes due to its property in maximizing information. It is argued that Gabor-like receptive fields emerged by the sparseness-enforcing or infomax method, with sparseness-enforcing being more biologically plausible. This paper...

This work presents a new method for automatic facial feature tracking in video sequences. In this method, a discrete face template is represented as a linear combination of continuous 2D odd-Gabor wavelet functions.The weights and 2D parameters (position, scale and orientation) of each wavelet are determined optimally so that the maximum of image information is preserved for a given number of w...

An image and object search and retrieval algorithm is devised that combines color and spatial information. Spatial characteristics are described in terms of Wiskott’s jets formulation, based on a set of Gabor wavelet functions at varying scales, orientations and locations. Color information is first converted to a form more impervious to illumination color change, reduced to 2D, and encoded in ...

A representation of a three-dimensional object is autonomously learned from a sequence of the rotating object. The representation consists of single views in form of graphs and is achieved by performing a segmentation-based tracking of the object. First we apply a segmen-tation algorithm which is based on gray level values. This provides the location of the object in the images and a rough shap...

In this paper, we present a technique by which highintensity feature vectors extracted from the Gabor wavelet transformation of frontal face images, is combined together with Independent Component Analysis (ICA) for enhanced face recognition. Firstly, the high-intensity feature vectors are automatically extracted using the local characteristics of each individual face from the Gabor transformed...

In this paper, we propose a novel local appearance feature extraction method based on multi-resolution Dual Tree Complex Wavelet Transform (DT-CWT). Each face is described by a subset of band filtered images containing block-based DT-CWT coefficients. These coefficients characterize the face texture. The block based mean and variance of complex wavelet coefficients are used to describe the face...

Sparsity-driven image recovery methods assume that images of interest can be sparsely approximated under some suitable system. As discontinuities of 2D images often show geometrical regularities along image edges with different orientations, an effective sparsifying system should have high orientation selectivity. There have been enduring efforts on constructing discrete frames and tight frames...