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The paper presents an algorithm allowing for automatic detection of squat flaws in railway rails. These flaws can pose a threat to the safety of railway traffic. A Gabor filter bank along with SVM classifier were used in the detection process. The optimal number of features used to discriminate between squat and the area without squat as well as the parameters for classifier were selected with the...
Biometrics serves to identify the identity of an individual with the help of mathematical analysis of its biological features. In this paper, we propose a novel classification method based on kernel Nonparametric Discriminant Analysis (KNDA). We use the facial features extracted with Gabor descriptor and ordinal filter, which are encoded in local regions, as visual primitives. The different ordinal...
A Multi-biometric System amalgamates the evidences collected from the multiple sources or single source for person recognition based on templates like fingerprint, palm print and iris. These evidences can be combined at various levels like pixel level, score level, feature level, and decision level. A rich set of information is present at feature level, but there is a problem of dimensionality which...
Several efforts are being made in studying sleeping posture of a person under natural conditions without causing discomfort. In this study, various methods are proposed and explored in which features defining sleep postures of a person are investigated for intelligent pattern recognition. Using the measured depth data, three dimensional depth scans as well as the cross-sectional scans of the static...
This paper presents an audio event classification algorithm which automatically classifies an audio event as footstep, glass breaking, gunshot or scream mainly for surveillance applications. First, the Gabor feature of the audio spectrogram is extracted, there are two kinds of Gabor features, namely global Gabor feature and local Gabor feature. Then we use Principal Components Analysis (PCA) and Linear...
Facial expressions are the most visual method to convey emotions. Facial expressions of a person at different instances are not same. Automatic recognition of facial expressions is important for natural human-machine interfaces. Although human recognize facial expressions without delay, however expression reorganization by computer is still a challenge. In this proposed method Log Gabor filter bank...
Data representation plays an important role in a classifier's accuracy. A given dataset may lead to better results by simply applying a change of basis while keeping the original number of parameters. In this paper, Gabor Filter based image representation has been exploited for object classification. First, Gabor filter based convolution is computed for features extraction, then down-sampling is performed...
Feature extraction plays an important role in signal processing, computer vision, etc., and filter bank is used to comprehensively delineate the characteristics of input signals from different perspectives. Nonetheless, more detailed extraction of information necessitates the application of more filters with resulting increase in computational load in proportion to the number of filters. To alleviate...
The present paper addresses a single image super resolution reconstruction approach based on sparse representation of image patches. The proposed reconstruction process enforces a better sparsity solution which is guided by the sparse prior from the L1 norm optimization process. In the optimization process, an efficient feature extraction operator is used to ensure accurate prediction of the high...
In this work, a method is proposed for classification of texture images using a fusion of feature sets. Weighted guided filter based preprocessing technique has been performed using optimized cost function to enhance the discriminative property of different texture images. A hybrid model of normalized symmetrical gray level co-occurrence matrix parameters, histogram of oriented gradients, and Gabor...
Ulcerative colitis (UC) is a chronic inflammatory disease characterized by periods of relapses and remissions affecting more than 500,000 people in the United States. The therapeutic goals of UC are to first induce and then maintain disease remission. However, it is very difficult to evaluate the severity of UC objectively because of non-uniform nature of symptoms associated with UC, and large variations...
Texture segmentation is one of the most challenging problems in the field of image segmentation. Segmenting multi-textured image into different classes of textured region with a minimum rate of misclassification is a challenging issue. This paper proposes a framework for improving misclassification rate by using ICA for designing filter bank and Ant Tree Clustering algorithm, inspired by the self...
A method of rotation and scale invariant texture recognition is proposed, which can also be employed for multi-object analysis and object recognition based on pattern analysis in noisy images. The recognition method uses data base textures, which are compared with a texture to be recognized and relies on extraction and classification of features. The features are extracted using multichannel polar...
This work describes an unsupervised method to extract 2D and 3D inner earth structures from seismic reflection measurements m order to support an expert, interpreting the data. The problem is solved with a general texture segmentation approach, which first extracts characteristic patterns for seismic events (feature extraction stage, described in Section 2) and then groups data elements with similar...
Noise-robustness has become a crucial parameter in Automatic Speech Recognition (ASR) systems today with their increased use in noise-filled real-world environments. One way to address this issue is to develop features that are innately noise-robust. The Kernel Power flow Orientation Coefficients (KPOCs) are a novel feature set based on spectro-temporal analysis that uses a bank of 2D kernels to extract...
In this paper, we present a technique to describe local image features using scalable circumferential filters. Region description is the basic technique for many computer vision applications such as visual tracking, matching, and object recognition. In the first part of this paper, we present an elliptical cylinder projection method to geometrically normalize the ellipse regions to circular. In the...
Finger vein has been proved to be an effective biometric for personal identification in recent years. Inspired by the good power of Gabor filter in capturing specific texture characteristics from any orientation of an image, this paper proposes a simple, yet powerful and efficient local descriptor for finger vein recognition, called histogram of competitive Gabor responses (HCGR). Specially, HCGR...
Muti-modal biometric recognition systems have attracted the attention of many researchers in today's modern world. These systems have greater advantages over traditional systems that are difficult to break and provide good anti-spoofing abilities. Use of these systems has increased in recent years owing to the increasing trend of thefts, breaking of security systems, hacking and another means of unauthorized...
Masses are one of the early symptoms of breast cancer and mammography is an effective methodology for the early detection of masses. For mass detection, the segmentation of mammograms generates regions of interest (ROIs) that represent not only mass areas but normal tissues as well leading to false positives. This results in the problem of false positive reduction (i.e. classifying ROIs as masses...
In this paper a new technique for defect detection in gray-level textured images is proposed. The first step of the algorithm is devoted to compute the local homogeneity of each pixel to construct a new homogeneity image denoted as (H-image). The second step consists in dividing the H-image into squared blocks and applying the discrete cosine transform (DCT) and then representative energy features...
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