We consider the problem of segmenting multitextured images using multiple Gabor filters. In particular, we present a mathematical framework for a multichannel texture-segmentation system consisting of a parallel bank of filter channels, a vector classifier stage, and a postprocessing stage. The framework establishes mathematical relationships between the predicted texture-segmentation error, th...

This paper presents a novel method for detecting multiple moving targets in real-time from infrared (IR) image sequences collected by an airborne IR camera. This novel method is based on dynamic Gabor filter and dynamic Gaussian detector. First, the ego-motion induced by the airborne platform is modeled by parametric affine transformation based on feature point matching, and the IR video is sta...

This paper presents an unsupervised texture image segmentation algorithm using reduced Gabor filter set and mean shift clustering. Two criteria are proposed in order to construct a feature space of reduced dimensions for texture image segmentation, based on selected Gabor filter subset from a predefined Gabor filter set. An unsupervised clustering algorithm using the mean shift clustering metho...

3D ultrasound (US) is increasingly considered as a viable alternative imaging modality in computer-assisted orthopaedic surgery (CAOS) applications. Automatic bone segmentation from US images, however, remains a challenge due to speckle noise and various other artifacts inherent to US. In this paper, we present intensity invariant three dimensional (3D) local image phase features, obtained usin...

Vehicle verification has very importance in this year because of its efficiency to avoid collision and less cost. Vehicle verification is difficult since the vehicle is similar in its color, shape and pose.log Gabor filter is used here as the algorithm to perform this task. Previously Gabor filter had been used. But since it has some drawbacks log Gabor filter introduced. Energy feature is choo...

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...

—This paper devises a new means of filter diversification, dubbed multi-fold filter convolution (í µí³œ-FFC), for face recognition. On the assumption that í µí³œ-FFC receives single-scale Gabor filters of varying orientations as input, these filters are self-cross convolved by í µí³œ-fold to instantiate an offspring set. The í µí³œ-FFC flexibility also permits the self-cross convolution amongst...

In this paper, we present a stable, recursive algorithm for the Gabor filter that achieves—to within a multiplicative constant—the fastest possible implementation. For a signal consisting of samples, our implementation requires ( ) multiply-and-add (MADD) operations, that is, the number of computations per input sample is constant. Further, the complexity is independent of the values of and in ...

In this paper, the performance of a Gabor odd filterbased edge detector is investigated using the measures proposed b y Canny. Based on this performance analysis a design criterion for 1-D Gabor filter-based edge detector is derived. It is shown that this design criterion holds good for a 2-0 Gabor filter-based edge detector as well. Experimental results are presented to demonstrate the signifi...

This paper demonstrates the application of Gabor Filter technique to enhance the fingerprint image. This work produces change in Gabor filter design by increasing the quality of an output which helps in higher security applications. The incoming signal in form of image pixel will be convoluted by Gabor filter to define the Edge and vale regions of fingerprint. The main characteristic of this pa...