This research describes a mammographic lesions using wavelet based active contour model. The sensitivity of the breast cancer detection was analyzed by mammography. Wavelet based decomposition techniques are used and tested for decomposing the noise present in the mammographic lesions. Gabor filtering method is used to reduce the unwanted noise obtained in the mammographic lesions by automated ...

Complex vision tasks, e.g., face recognition or wavelet based image compression, impose severe demands on computational resources to meet the real-time requirements of the applications. Clearly, the bottleneck in computation can be identified in the first processing steps, where basic features are computed from full size images, as motion cues and Gabor or wavelet transform coefficients. This p...

In this study, an embedded machine vision system using Gabor filters and Pulse Coupled Neural Network (PCNN) is developed to identify defects of warp-knitted fabrics automatically. The system consists of smart cameras and a Human Machine Interface (HMI) controller. A hybrid detection algorithm combing Gabor filters and PCNN is running on the SOC processor of the smart camera. First, Gabor filte...

In this paper, a novel face recognition method based on Gabor-wavelet and linear discriminant analysis (LDA) is proposed. Given training face images, discriminant vectors are computed using LDA. The function of the discriminant vectors is two-fold. First, discriminant vectors are used as a transform matrix, and LDA features are extracted by projecting original intensity images onto discriminant...

This paper proposes a multichannel image registration method which combines information from different modalities/channels to produce a unified joint registration. Multichannel images are created by coregistering multimodality images of the same subject to utilize information across modalities comprehensively. The existing methods combine the information at the image/intensity level.But the pro...

We show how the first order statistic, i.e. the histogram, of the wavelet filtered image is related to the higher order statistic of the original image. We then propose a texture classification method that uses the histogram information of the filtered images as the feature vector. Classification experiments show that the proposed method achieves better classification result than the Gabor wave...

This studycompared the technique such as Gabor-wavelet filter banks and LocalBinary Patterns (LBP) that were commonly used for facial expression recognition.Broad experimentalphases designed to analyze accuracy efficiency of each state art techniques regardingfacial recognition. A close analysis Receiver Operating Characteristics (ROC) andoverall results well-known databasesrevealedthat LBPbase...

Knuckle biometrics is one of the current trends in biometric human identification which offers a reliable solution for verification. This paper analysis FKP recognition based on the behaviour of two different filtering and classification methods. Firstly, Gabor Filter Banks techniques are applied for finger knuckle print recognition and then the same database is analysed against Dual Tree Compl...

A novel face recognition algorithm using single training face image is proposed. The algorithm is based on textural features extracted using the 2D log Gabor wavelet. These features are encoded into a binary pattern to form a face template which is used for matching. Experimental results show that on the colour FERET database the accuracy of the proposed algorithm is higher than the local featu...

Medical image denoising is the main step in medical diagnosis, which removes the noise without affecting relevant features of the image. There are many algorithms that can be used to reduce the noise such as: threshold and the sparse representation. The K-SVD is one of the most popular sparse representation algorithms, which is depend on Orthogonal Matching Pursuit (OMP) and Discrete Cosine Tra...