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The development of a SOPC for matching fingerprint images is presented in this paper. The major motivation for this work is to develop a fingerprint image matching handheld module, which can overcome the limitation of original phase correlation based algorithm and has more reliability performance to rotated and noisy images. By aid of Fourier-Mellin transform (FMT), frequency domain features are extracted...
This paper presents a method which based on Fourier-Mellin transform registration algorithm to rotate the archaic epigraph images correction without reference object. In our research range, we improve the traditional methods of edge detection based on the characters of archaic epigraph images, propose the block edge detection method and the multi-scale edge detection method based on Wavelet Transform...
Texture segmentation by Pseudo Jacobi -Fourier moments is presented in this paper. Given a window size, moments for each pixel in the image are computed within small local windows, and then texture feature images be obtained by using a nonlinear transducer. Finally, each pixel in the image is classified by K-mean clustering algorithm.
CAD (Computer Aided Diagnosis) system that has 3-D viewer function to display the DICOM (Digital Imaging and Communication in Medicine) image has been developed in recent years. Now, the function of CAD system for artificial implant to which development is advanced includes the removal of artifact in the input DICOM image, region extraction of bone, major vessel, and nerve and mounting of function...
This paper intends to propose a novel clustering method based on ant colony (AC) algorithm. A new approach called TT-transform based time frequency analysis is used in processing the non-stationary power signal disturbances. The time-time transform is the inverse Fourier transform of S-transform. The proposed model is demonstrated using feature vector from the domain of power signal analysis, yielding...
The study of the behavior of ion-channels can provide significant information to detect metal ions and small organic molecules in solution. Discrimination of different analytes can be performed by extracting appropriate features from the ion-channel signals and using them for classification. In this paper, we consider features extracted from the Fourier, Wavelet and Walsh-Hadamard domain representations...
The applicability and reliability of Infrared (IR) spectroscopy to distinguish normal and abnormal cells has opened this research to obtain new features from IR spectral of cervical cells to be fed into multilayered perceptrons (MLP) networks. In order for neural networks to be used as cervical precancerous diagnostic system, the features of cervical cell were used as inputs for neural networks and...
Based on statistics theory, a generic framework for video semantic content analysis is proposed in this paper. Multilayer semantic analysis and multimodal information fusion are unified in the same modal. Firstly, frame-segment key-frame strategy and attention selection model are used to concisely represent video content. With pattern classification technique, the basic visual semantics are recognized...
What is important for an identification system is to be accurate, low cost, fast, and safe. Almost all current identification methods such as fingerprint, face, hand palm and iris recognition, are vulnerable considering plastic surgeries and some other changes in face, palm and finger print, while this is not the case for the retina. Human retina would never change during one's life and thus the uniqueness...
A novel automatic segmentation framework for ultrasound image processing, which is based on active contour model and texture similarity is reported. Textures are described by spectral measures based on the Fourier spectrum. Furthermore, correlation information is introduced to evaluate the similarity between textures which avoid handling vectored-value textures in the further procedure. An automatic...
Feature extraction for fault detection of an induction motor is carried out using the information of stator current. After preprocessing actual data, Fourier and wavelet transforms are applied to detect characteristics under the healthy and various faulted conditions. The most reliable phase current among 3-phase currents is selected by the fuzzy entropy. The fuzzy membership function is also required...
In audio fingerprinting, an audio clip must be recognized by matching an extracted fingerprint to a database of previously computed fingerprints. The fingerprints should reduce the dimensionality of the input significantly, provide discrimination among different audio clips, and at the same time, invariant to the distorted versions of the same audio clip. In this paper, we design fingerprints addressing...
We describe soccer highlight generation from only the audio stream in the video. A novel audio feature is used to detect parts of the commentary corresponding to dominant and excited speech. It is computed by a twice-iterated composite Fourier transform (CFT) on short-time windows, wherein the magnitude spectrum of the first transform is input to a second transform. Dominant speech portions are found...
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