Gabor filters have been applied sucessfully to a broad range of multidimensional signal processing and image processing tasks. The present paper considers the design of a single filter to segment a two-texture image. A new efficient algorithm for Gabor-filter design is presented. The algorithm draws upon previous results that showed that the output of a Gabor-filtered texture is well represente...

Recently, researchers have been paying an excessive amount of attention to biometric palmprint which has gained popularity and received significant prominence due to its high stability and uniqueness. In this study, two certain filters have been taken into consideration, namely Gabor filter and Circular Gabor filter which are used to obtain feature information from two distinguishing regions of...

Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...

The Gabor filter is a valuable tool in computer vision, however, its high computational load precludes its use in many applications. This paper presents a novel method for approximating Gabor wavelets with a function that can be convolved more efficiently in the spatial domain. The method extends the well known separable nature of the Gabor filter, and demonstrates a means for reducing the comp...

In this paper, we present a method for edge segmentation of satellite images based on 2-D Phase Congruency (PC) model. The proposed approach is composed by two steps: The contextual non linear smoothing algorithm (CNLS) is used to smooth the input images. Then, the 2D stretched Gabor filter (S-G filter) based on proposed angular variation is developed in order to avoid the multiple responses in...

A new breast cancer detection algorithm, named the ―Gabor Cancer Detection‖ (GCD) algorithm, utilizing Gabor features is proposed. Three major steps are involved in the GCD algorithm, preprocessing, segmentation (generating alarm segments), and classification (reducing false alarms). In preprocessing, a digital mammogram is down-sampled, quantized, denoised and enhanced. Nonlinear diffusion is ...

This paper develops an error bound for narrow bandwidth Gabor filters synthesized using multiple stages. It is shown that the error introduced by approximating narrow bandwidth Gabor kernels by a weighted sum of spatially offset, separable kernels is a function of the frequency offset and the reduction in bandwidth of the desired kernel compared to the basis values, as well as the spatial subsa...

T. Manglik, L. Axel, V. M. Pai, D. Kim, P. Dugal, A. Montillo, Q. Zhen Radiology, NYU School of Medicine, New York, NY, United States, University of Pennsylvania, Philadelphia, PA, United States, Rutgers University, New Brunswick, NJ, United States Introduction Myocardial tagging provides a quantitative technique for assessing regional myocardial wall motion. Endocardial border detection can be...