Gabor filter (Total 134446 Papers Found)

This paper presents novel approaches for efficient feature extraction using environmental sound magnitude spectrogram. We propose approach based on the visual domain. This approach included three methods. The first method is based on extraction for each spectrogram a single log-Gabor filter followed by mutual information procedure. In the second method, the spectrogram is passed by the same steps of the first method but with an averaged bank of 12 log-Gabor filter. The third method consists of s ...
W e shall use the mathematical techniques of Gabor transforms and continuous wavelet transforms to analyze the rhythmic structure of music and its interaction with melodic structure. This analysis reveals the hierarchical structure of rhythm. Hierarchical structure is common to rhythmic performances throughout the world’s music. The work described here is interdisciplinary and experimental. We use mathematics to aid in the understanding of the structure of music, and have developed mathematica ...
A new method is proposed to extract road networks in urban areas from high resolution satellite images. The first step is to segment road from other objects based on the real part of the transform of Log Gabor function. An improved line segment matching method is then applied to the binary image to eliminate nonroad objects. After removing the short and irregular speckles in the segmented image, road segments may be detected easily. Connecting road segments finally produces the road networks. Ex ...
In this paper, we propose to apply an integrated method to the mammography images for breast cancer detection. This method combines AM-FM modeling techniques with image filtering by a bank of specially designed Gabor filters. Cancer features will be extracted from the decomposed or filtered images and projected back to the reconstructed mammography images. We seek to validate our approach by showing that a mammogram can be accurately decomposed, analyzed and reconstructed. Experimental results w ...
In this paper, we present a facial expression recognition method based on Gabor feature and sparse representation. Sparse Representation based Classification (SRC) has been widely used in computer vision and pattern recognition. And Gabor filter banks can be used to approximately model the signal processing in visual primary cortex. We believe that the nature of the attractive performance of SRC and Gabor feature lies in that they both followed the natures of signal perception of retina and info ...
One factor of quality and quantity reduction in crop yields is plant disease. Consultation with plant pathologists to diagnose plant diseases is time consuming, considering that time is an important factor in disease control. Therefore, it is necessary to present a simple, fast, cheap, and precise method for diagnosing plant diseases. In this article, five corn leaf diseases (Southern Leaf Blight, Southern Rust, Gray Leaf Spot, Holcus Spot, and Stewart's Wilt) are diagnosed using imageprocessing ...
Content based image retrieval is a research topic since last decade and it is used to solve different problems such as construction of feature vectors, multidimensional indexing, and design of user interface and data visualization. The main problem of content based image retrieval system is with retrieval accuracy and the computational complexity (or retrieval time).This paper provides information about color features such as color space, color moment and also texture features such as Gabor filt ...
This paper introduces a novel approach for automatic detection of a type of diffuse lung pattern, known as honeycombing, from high resolution computed tomography (HRCT) scans of the lung. The algorithm, which is based on frequency spectrum analysis of the HRCT image, assesses and combines outputs from a pre-defined Gabor filter bank to form a preliminary lesion detection mask. Several morphological filters are then employed to remove noise from the detection mask. The algorithm is applied to a t ...
Facial expressions are considered a critical factor in neonatal pain assessment. This paper attempts to apply modern facial expression recognition techniques to the task of distinguishing pain expression from non-pain expression. Firstly, 2D Gabor filter is applied to extract the expression features from facial images. Then we apply Adaboost as a feature selection tool to remove the redundant Gabor features. Finally, the Gabor features selected by Adaboost are fed into the support vector machine ...
In this article we want to introduce the Gabor wavelet network as a model based approach for an effective and efficient object representation. The Gabor wavelet network has several advantages: invariance to some degree with respect to translation, rotation and dilation, the use of Gabor filters ensured that geometrical and textural object features are encoded, the representation precision ranges from photorealistic to coarse and can be adapted as needed for a specific tast. The feasibility of th ...
We propose a Gabor division (GD)-CDMA system which permits time and frequency offsets. Negatively correlated time- and frequency-domain spreading codes have shown to reduce the variances of mutual- and self-interferences. In this paper, we show that such negatively correlated spreading codes have another important property that they flatten the time-frequency energy distributions of signals in GD-CDMA system. ...
Wavefield extrapolation for a laterally varying velocity model can be achieved by applying a nonstationary phase-shift filter to an adaptive, nonuniform Gabor transform over the lateral coordinate. A family of adaptive Gabor frames can be constructed from a molecular decomposition of unity, each molecule of the latter being built by conjoining neighbouring atoms from a uniform partition of unity consisting of translates of a single atom along the lateral coordinate according to a local stationar ...
Changes in retinal vessel width can be indicative of the presence of several diseases, such as diabetic retinopathy, retinopathy of prematurity (ROP), and hypertension. Accurate detection and measurement of such changes could help in computer-aided diagnosis. An increase in venular thickness is a sign of plus disease, which warrants treatment of ROP. We present image processing methods for detection, tracking, and measurement of the width of the major temporal arcade (MTA), which is the thickest ...
With the development of machine learning and computer vision, we combined the image classification and malware detection in this work. Based on the technology of image classification, we achieved the detection of malware, using machine learning. In our work, we visualized the malware as a grayscale image and extracted texture features by Gabor filter. Depend on machine learning, we used extremely randomized trees as the classification and 10-fold cross validation to value it. Compared with GBDT, ...
Rheumatic arthritis (RA) is an autoimmune disease that causes irreversible damage to joints and other physiological structures. The Metacarpophalangeal (MCP) joint is one of the first regions to suffer alterations. These alterations are visible with high frequency ultrasound devices, which are used to quantify inflammatory activity in the MCP due to RA. The accurate segmentation of the bone surface and the identification of the MCP capsule region remains a challenge in ultrasound image processin ...
The latest generation of synthetic aperture radar (SAR) instruments operating in X-band, that is, COSMO-SkyMed (CSK) and TerraSAR-X (TSX), are capable of providing images from coarse resolution to very high resolution. A lot of research effort has been invested in the study and understanding of images obtained from these satellites. However, there is still a huge scope of statistical understanding and comparison of data from both satellites. In this study, we demonstrate some striking similariti ...
The authors present an application of the general idea of preconditioning in the context of Gabor frames. While most (iterative) algorithms aim at a more or less costly exact numerical calculation of the inverse Gabor frame matrix, we propose here the use of "cheap methods" to find an approximation for it, based on (double) preconditioning. We thereby obtain good approximations of the true dual Gabor atom at low computational costs. Since the Gabor frame matrix commutes with certain time-frequen ...
Automatic classification of lesions for gastroenterology imaging scenarios poses novel challenges to computer-assisted decision systems, which are mostly attributed to the dynamics of the image acquisition conditions. Such challenges demand that automatic systems are able to give robust characterizations of tissues irrespective of camera rotation, zoom, and illumination gradients when viewing the inner surface of the gastrointestinal tract. In this paper, we study the invariance properties of Ga ...
Analysis of retinal blood vessels is extremely important for diagnosis and treatment of many diseases such as diabetic retinopathy, hypertension, glukoma, arteriosclerosis etc. Therefore, especially vessel segmentation is one of the most critical steps for detection and treatment of these diseases. In this paper, Gabor filter and 2D matched filter response methods, which are used to enhance blood vessels, were implemented and their performances were compared. Firstly, Gabor filter and 2D matched ...
In this paper, we propose a new approach based on watermarking for fusing biometric modalities. The main idea of the proposed approach is to use the watermark both for security purpose and as an additional information related to the person, therefore increasing the personal data used for verification. The host image of the face is watermarked in the multi-resolution space by the palmprint using a watermarking technique based on wavelet packet decomposition. For the verification stage, the charac ...
A recognition model which defines a measure of shape similarity on the direct output of multiscale and multiorientation Gabor filters does not manifest qualitative aspects of human object recognition of contour-deleted images in that: a) it recognizes recoverable and nonrecoverable contour-deleted images equally well whereas humans recognize recoverable images much better, b) it distinguishes complementary feature-deleted images whereas humans do not. Adding some of the known connectivity patter ...
In texture analysis the common methods are based on the gray levels of the texture image. However, the use of color information improves the classification accuracy of the colored textures. In the classification of nonhomogenous natural textures, human texture and color perception are important. Therefore, the color space and texture analysis method should be selected to correspond to human vision. In this paper, we present an effective method for the classification of colored natural textures. ...
There is growing evidence that Hilbert C*-module theory and the theory of wavelets and Gabor (i.e. Weyl-Heisenberg) frames are tightly related to each other in many aspects. Both the research fields can benefit from achievements of the other field. The goal of the talk given at the mini-workshop was to give an introduction to the theory of module frames and to Hilbert C*modules showing key analogies, and how to overcome the existing obstacles of Hilbert C*-module theory in comparison to Hilbert ...
Fundus images have been widely used in the diagnosis of retinopathy and cardiovascular diseases. However, because of the movement of patients' eyes and limitation of medical equipments, the quality of fundus images may be low sometimes. In this paper, we propose vessel enhancement method for a low-contrast and blurred image based on multi-scale morphological top-hat transformation, and the combination of Gabor and matched filter. The underlying rationale of this proposed method is to make use di ...
This paper proposes a method for texture feature extraction by integrating Gabor filters and independent component analysis (ICA) for Uyghur handwriting based writer identification. That is, the texture image is firstly filtered by a given bank of Gabor filters, and then higher dimensional feature vectors are constructed from the filtered texture images. Next, the dimensionality of these vectors is reduced by means of principal component analysis (PCA). Finally, the independent components in the ...
The discrimination of textures is a critical aspect of identi"cation in digital imagery. Texture features generated by Gabor "lters have been increasingly considered and applied to image analysis. Here, a comprehensive classi"cation and segmentation comparison of di!erent techniques used to produce texture features using Gabor "lters is presented. These techniques are based on existing implementations as well as new, innovative methods. The functional characterization of the "lters as well as fe ...
This paper presents a novel style of Gabor filter banks designed for plant species recognition using their bark texture features. In this paper, texture is modeled as multiple narrowband signals that are characterized by their central frequencies and normalized ratios of amplitudes. The normalized ratio of amplitudes is employed as an energy weight for combining narrowband signals. Based on this texture model, a set of texture features can be extracted from each kind of plant bark that is used t ...
This paper proposes a vision-based method for detecting the positions of fingertips of a hand playing a guitar. We detect the skin color of a guitar player's hand by using on-line adaptation of color probabilities and a Bayesian classifier which can cope with considerable illumination changes and a dynamic background. The results of hand segmentation are used to train an artificial neural network. A set of Gabor filters is utilized to compute a lower-dimensional representation of the image. Then ...
This paper is an argument for two assertions: First, that by representing correspondence probabilistically, drastically more correspondence information can be extracted from images. Second, that by increasing the amount of correspondence information used, more accurate egomotion estimation is possible. We present a novel approach illustrating these principles. We first present a framework for using Gabor filters to generate such correspondence probability distributions. Essentially, different fi ...
Consider n nodes connected to a single coordinator. Each node receives an individual online data stream of numbers and, at any point in time, the coordinator has to know the k nodes currently observing the largest values, for a given k between 1 and n. We design and analyze an algorithm that solves this problem while bounding the amount of messages exchanged between the nodes and the coordinator. Our algorithm employs the idea of using filters which, intuitively speaking, leads to few messages t ...
This paper describes about car recognition system using a camera as sensor to recognize a moving car. There are four main stages in this process: object detection, object segmentation, feature extraction using Gabor filters and Gabor jet matching to the car database. The experiment was done for various types of car with variuos illumination (at daylight and night). The result shows that Gabor filter responses give a good feature representation. The system achieved an average recognition rate of ...
In this paper, we propose a novel mutual information (MI) based method to register SAR and SPOT images. The traditional MI can register SAR and SPOT images well. However, its robustness is weakened by the absence of orientation information. In our approach, we first extract orientation information at four directions by Gabor filters, then MI of each corresponding image pair is calculated and the average value of MI is used as an improved measure for MI. Experiments show that our method is more r ...
This paper proposes an accurate inspection technique of fabric defects in an electromagnetic wave shield mesh of the plasma display panel (PDP-mesh) for automatic detection. The proposed method utilizes two-dimensional discrete Fourier transform (DFT) and a Gabor filter for accurate detection. The DFT of the whole image enables the user to detect global defects, such as yarn density and yarn orientation, of the manufactured PDP-mesh. The determined global features can be utilized to design the o ...
This paper presents a method in classifying the baking quality-test bread based on Gabor filters and SVMs. Gray images of the field of view are transformed with different orientations and scales by filters. The texture features are denoted by the energy standard value and standard variance. A multi-class Support Vector Machine is proposed to implement the quick classification of baking bread according to small amount samples. The results indicate the practicability and feasibility of the method ...
In spatially multiplexed MIMO systems that enable high-data-rate transmission over wireless communication channels, spatial demultiplexing at the receiver is a challenging task. Thus, various demultiplexing methods have been developed by many researchers. In this paper, a novel signal detection method that achieves near-ML performance in a computationally efficient manner is proposed. The proposed method is based on the well-known minimum mean squared error (MMSE) ordered successive interference ...
In this paper we show the feasibility of template protecting biometric authentication systems. In particular, we apply template protection schemes to fingerprint data. Therefore we first make a fixed length representation of the fingerprint data by applying Gabor filtering. Next we introduce the reliable components scheme. In order to make a binary representation of the fingerprint images we extract and then quantize during the enrollment phase the reliable components with the highest signal to ...
This paper presents a proposed automatic fingerprint verification technique. The proposed technique consists of two phases; a training phase and a testing phase. In the training phase, firstly, image enhancement process is carried out using Adaptive Histogram Equalization (AHE) and Gabor filter, then, the Higher Order Statistics (HOS) of the image are estimated. The local and global features are extracting from each image or from its HOS. These features are used to train Support Vector Machines ...
In this paper, we apply unsupervised learning methods to construct response functions for V1 simple cells, V1 complex cells, and V2 simple cells from a set of natural images. To support this, we reimplement existing sparse coding methods with the use of commercial optimization software. Introduction The human visual cortex contains a small number of self-contained functional units that fit together in reasonably well-understood pathways. The ventral pathway, which is concerned with object recogn ...
Previous work described a biologically motivated object recognition system with Gabor wavelets as basic feature type. These features are robust against slight distortion, rotation and variation in illumination. We here describe extensions of the system that address image variance due to arbitrary in-plane rotation, substantial scale changes and moderate depth rotation of objects, and to background variation, using simple linear transformation of the Gabor lter responses. The performance of the s ...
Detecting stair region and estimating the distance from a camera to stair in a stair image is the fundamental step in the implementation of autonomous stair climbing navigation, as well as alarm systems for vision impaired people. In this paper, a framework is proposed for detecting the stair region from stair image utilizing some natural properties of stair. One unique property of them is, every stair step's beginning and ending horizontal edge point intersects with two vertical edge points cre ...
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Criticism of the historical precedent approach Background A disinfectant test is a laboratory method for measuring the efficacy of a disinfectant treatment. In order for a disinfectant test method to be accepted for standard use, it must exhibit good reproducibility as determined by a collaborative study in which the same disinfectant treatment is tested by different laboratories. In the typical situation where efficacy is measured by the log reduction (LR), good reproducibility is demonstrated ...
In this research, two different schemes are proposed to estimate the motion blur parameters. Two dimensional Gabor filter has been used to calculate the direction of the blur. Radial basis function neural network (RBFNN) has been utilized to find the length of the blur. Subsequently, Alternating Direction Balanced Regularization method has been used to restore the images. Noise robustness of the proposed scheme is tested with different noise strengths. The visual as well as the peak signal to no ...
This paper presents an occlusion robust image representation method and apply it to face recognition. Inspired from the recent work [15], we propose a Gabor phase difference representation for occlusion robust face recognition. Based on the good ability of Gabor filters to capture image structure and the robustness to image occlusion shown in this paper, Gabor phase features are expected to be discriminative and robust for face representation in occlusion case. Besides, we adopt spectral regress ...
In this paper, an approach for the classification of different hardwood species of open access database, using texture feature extraction and supervised machine learning technique has been implemented. Edges of complex cellular structure of microscopic images of hardwood are enhanced with the application of Gabor filter, and Gray Level Co-occurrence Matrix (GLCM) as an effective texture feature extraction technique is being revalidated. About, 44 features have been extracted from GLCM; these fea ...
  • Manfred Bresch,
  • 9th European Signal Processing Conference (EUSIPCO 1998)
  • 1998
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 logarithmic Gabor filtering of the data base textures and the texture to be recognized with the sam ...