<p><span>The images are not always good enough to convey the proper information. The image may be very bright or dark sometime it low contrast high contrast. Because of these reasons enhancement plays important role in digital processing. In this paper we proposed an technique which Gabor and median filtering is performed wavelet domain Adaptive Histogram Equalization spatial domain...

This research paper highlights the use of shape and texture information for recognizing gestures of Indian sign language. The proposed method involves extracting the hand segments from the original color gesture images and subjecting them to further processing. In the next stage texture information of the hands in extracted using gabor filter. Again from the segmented hand portions shape is mod...

Adaptation in the visual system frequently results in properties of subsequently presented stimuli being repelled along identifiable axes. Adaptation to radial frequency (RF) patterns, patterns deformed from circular by a sinusoidal modulation of radius, results in a circle taking on the appearance of having modulation in opposite phase. Here we used paths of spatially localized gratings (Gabor...

The purpose of the experiments described here was to investigate global image processing using methods that require global processing while eliminating or compensating for low level abnormalities: visibility, shape perception and positional uncertainty. In order to accomplish this we used a closed figure made up of Gabor patches either in noise or on a blank field. The stimuli were circular or ...

Color, texture, and shape act as important information for images in human recognition. For content-based image retrieval, many studies have combined color, features to improve the retrieval performance. However, there not been powerful methods combining all features. This study proposes a method that uses local global of shape. The color are extracted from autocorrelogram; texture magnitude co...

This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and efficient representation of feature points, a hybrid representation that integrates Gabor wavelets and gray-level profiles is proposed. To model the spatial relations among feature points, a hierarchical statistical fac...

With the aim of reducing the radiologists’ subjectivity and the high degree of inter-observer variability, Contentbased Image Retrieval (CBIR) systems have been proposed to provide visual comparisons of a given lesion to a collection of similar lesions of known pathology. In this paper, we present the effectiveness of shape features versus texture features for calculating lung nodules’ similari...

We present an inherently discriminative approach to face recognition. This is achieved by automatically selecting key points from lines that sketch the face and extracting textural information at these locations. As the distribution of the lines depend on each individual face, the selected points will be person-dependent, achieving discrimination in an early stage of the recognition process. A ...

Morphological shape decomposition is used to model a facial image region as a sum of components and to extract a feature vector at the nodes of a sparse grid overlaid over the facial area in dynamic link matching. The feature vector is comprised of the greylevel values at this node in the reconstructed images at several decomposition levels. This feature vector is subsequently employed in Dynam...

We propose a Gabor-Alter-based method for fingerprint recognition in this paper. The method makes use of Gabor filtering technologies and need only to do the core point detection before the feature extraction process without any other pre-processing steps such as smoothing, binarization, thinning, and minutiae detection. The proposed Gabor-filter-based features play a central role in the proces...