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This paper suggests the improvement and generalization of the wideband ambiguity function for the case of MIMO radar signals. The proposed generalization of the ambiguity function is based on the multivariate copula notion. As a result it does not depend on a probability density function. This is an important advantage because sounding waveforms and reflected radar signals have different and unknown...
This paper presents a method for the computation of polar harmonic transforms that is fast and efficient. The method is based on the inherent recurrence relations among harmonic functions that are used in the definitions of the radial and angular kernels of the transforms. The employment of these relations leads to recursive strategies for fast computation of harmonic function-based kernels. Polar...
This paper presents the new feature extraction scheme for accurate leaf classification. The proposed feature extraction scheme can be viewed as a combination of Gabor transform and Local Phase Quantization (LPQ) and we term this scheme as Local Gabor Phase Quantization (LGPQ). First, the Gabor magnitude images are obtained by convolving the given leaf image with Gabor filter with different scale and...
In this paper, we work on the topological properties such as the connectivity of regions, the boundaries and the adjacency for 2-D grayscale images. We present some original ideas for applying topology methods onto the graylevel image transformation which we call it pansystem topology. We use a Pansystem Parental model to develop an algorithm for grayscale image transformation. We also analyze the...
Recently, a new representation for recognizing instances and categories of scenes called spatial Principal component analysis of Census Transform histograms (PACT) has shown its excellent performance in the scene image classification task. PACT captures local structures of an image through the Census Transform (CT), meanwhile, large scale structures are captured by the strong correlation between neighboring...
In this paper an attempt has been made to classify the power quality disturbances more accurately. Wavelet Transform (WT) has been used to extract the useful features of the power system disturbance signal and optimal feature set is selected using Fuzzified Discrete Harmony Search (FDHS) to classify the PQ disturbances. Support Vector Machine (SVM) has been used to classify the disturbances. FDHS...
In this paper we suggest the improvement and generalization of the wideband ambiguity function for radar signals. Sounding waveforms and reflected radar signals have different probability density functions, and this fact is not taken into account in classical definition of an ordinary ambiguity function. The proposed generalization of the ambiguity function is based on the copula notion and does not...
This paper presents the design, implementation and evaluation of new parallelization schemes for performing dense disparity estimation based on non-parametric rank transform and semi-global matching on Graphics Processing Units (GPUs). A detailed analysis of the performance limitating factors (memory throughput, instruction throughput, etc.) for each part of the parallel implementation is performed...
Classic tie-point detection algorithms such as the Scale Invariant Feature Transform (SIFT) show their limitations when the images contain drastic changes or repetitive patterns. This is especially evident when considering multi-temporal series of images for change detection. In order to overcome this limitation we propose a new algorithm, the Affine Parameters Estimation by Random Sampling (APERS),...
The recently proposed two-phase test sample sparse representation (TPTSR) method makes a great contribution to the field of face recognition. Though TPTSR uses a computationally very efficient algorithm, it can obtain a better performance than the well-known sparse representation method. In the first phase of TPTSR, the determined M nearest neighbors for the test sample seem not to be optimal in terms...
The early detection of microaneurysms is important for tumor diagnosis and treatment, while it is difficult to find via naked eyes. This paper proposed a method to obtain microaneurysms in bifrequency space based on SVM. Firstly, a generalize histogram algorithms was employed to enhance the images, which achieved a well SNR. Secondly, the grayscale image is subjected to the radon transform and then...
A class of rotation-invariant orthogonal moments is proposed using a complex exponential in the radial direction. Each member of this class, while sharing beneficial properties to image representation and recognition like orthogonality and rotation-invariance, has distinctive properties depending on the value of a parameter, making it more suitable for some particular applications. The computation...
This paper presents a new approach to the definition of the radar ambiguity function. Using the notion of the copula a nonparametric extension of the wideband ambiguity function for random radar signals is suggested. This notion can be used for nonparametric signal detection and also for the radar signal analysis.
In this work we present an adaptation algorithm focused on the description of the measurement changes under different acquisition conditions. The adaptation is carried out by transforming the manifold in the first observation conditions into the corresponding manifold in the second. The eventually non-linear transform is based on vector quantization and graph matching. The transfer learning mapping...
Fingerprint matching has been deployed in a variety of security related applications. Traditional minutia detection based identification algorithms do not utilize the rich discriminatory texture structure of fingerprint images. Furthermore, minutia detection requires substantial improvement of image quality. And the efficiency of minutia detection depends on how well the ridges and valleys are extracted...
An innovative high throughput and scalable multi-transform architecture for H.264/AVC is presented in this paper. This structure can be used as a hardware accelerator in modern embedded systems to efficiently compute the 4×4 forward/inverse integer DCT, as well as the 2-D 4×4 / 2×2 Hadamard transforms. Moreover, its highly flexible design and hardware efficiency allows it to be easily scaled in terms...
SIFT-NMI algorithm is proposed for image matching based on SIFT (Scale-invariant feature transform) and NMI (Normalized Moment of Intertia) algorithm in this paper. Firstly, the SIFT algorithm is used to obtain the coordinates and vector matrix of the image's feature points. Then, the moment of intertia of the vector is obtained based on NMI algorithm and the pairs of matching features points are...
Localization of the eyes and mouth in face images is very important for accurate classification in automatic face recognition systems. The alignment of unknown face images with templates generally improves the performance of the face recognition system, and this process uses locations of the eyes and mouth. In this work, we compare different features (gray-level values, distance transform features,...
In this paper, a novel reference watermarking scheme based on Gyrator transform is presented. The core idea is to segment original image into non-overlapping blocks using zigzag scan followed by the reference image formation considering the spatial frequency of the blocks. Reference image is then transformed in the Gyrator domain. The embedding of the watermark is done by modifying singular values...
Invariant image representation plays an important role in many pattern recognition applications, such as texture classification, face recognition and character recognition. In this paper, we evaluate some of the invariant orthogonal moments, including Zernike moment (ZM), pseudo-Zernike moment (PZM), and Polar Harmonic Transform (PHT), which are all computed in a circular domain. The performance of...
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