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Wavelet-based fractal signature analysis for automatic ...

Wavelet-based fractal signature analysis for automatic ...

The wavelet-based fractal dimension provides a fast feature extraction method that results in very good texture discrimination capabilities. 3 Wavelet-Based Fractal Dimension 3.1 Fractal Signature Texture measures offer a means of detecting objects in background clutter that has similar spectral characteristics. The ‘‘fractal signature’’ ~a feature set based on the fractal surface area ...

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elet-Based - ResearchGate

elet-Based - ResearchGate

elet-based fractal signature generates an n-dimensional surface, whic h is used for classi- cation. Results of some exp erimen tal studies are presen ted demonstrating the usefulness of this ...

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WAVELET-BASED MULTIFRACTAL ANALYSIS OF REAL AND SIMULATED ...

WAVELET-BASED MULTIFRACTAL ANALYSIS OF REAL AND SIMULATED ...

fractal patterns found in earthquake time series and thus, we hope, will be useful for future related studies. To the best of our knowledge, this is the first systematic study of the multifractal and LRD properties of earthquake time series by using a wavelet approach. Ouillon and Sornette (1996) have developed a wavelet-based approach to perform

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Facies recognition using wavelet based fractal analysis ...

Facies recognition using wavelet based fractal analysis ...

Akay (1995) has applied a Wavelet Based Fractal Analysis (WBFA) to study biomedical signals. Using this combined analysis, important features of the sig-nal have been extracted to understand or model physiolog-ical systems. Moreover, the scale property of the wavelet transform has provided a framework for studying the scale properties of seismic and reservoir data. In this sense, a 3-D wavelet ...

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Wavelet based approach for tissue fractal parameter ...

Wavelet based approach for tissue fractal parameter ...

Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection Sabyasachi Mukhopadhyay1, Nandan K. Das1, Soham Mandal2, Sawon Pratiher3, Asish Mitra4, Asima Pradhan3, Nirmalya Ghosh1, Prasanta K. Panigrahi1 1 Indian Institute of Science Education and Research (IISER) Kolkata, Nadia-741246, India 2 Institute of Engineering & Management, Kolkata

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Facies recognition using wavelet based fractal analysis ...

Facies recognition using wavelet based fractal analysis ...

Facies recognition using wavelet based fractal analysis and waveform classifier at the Oritupano-A Field, Venezuela M. López, M. Aldana To cite this version: M. López, M. Aldana. Facies recognition using wavelet based fractal analysis and waveform classifier at the Oritupano-A Field, Venezuela. Nonlinear Processes in Geophysics, European Geosciences Union (EGU), 2007, 14 (4), pp.325-335 ...

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A Novel Texture Descriptor Using Over-Complete Wavelet ...

A Novel Texture Descriptor Using Over-Complete Wavelet ...

complete wavelet based fractal feature is extracted. Experimental results have shown that the proposed method is reasonable to describe the char-acteristics of the texture in temporal-frequent and fractal domains and can achieve the highest retrieval rate comparing with Gabor filter, first order derivative over-complete wavelet transformation, and some other pyramid-structured wavelet ...

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FRACTAL CHARACTERISTICS OF DIGITAL IMAGES AND THEIR ...

FRACTAL CHARACTERISTICS OF DIGITAL IMAGES AND THEIR ...

The second one is based on obtaining fractal characteristics of the image wavelet trans-forms. Fractal signature method consists in the cal-culation of the area of so called G-parallel body for the surface of the graphic of a function F. By G- parallel body one mean the set of points being at the distance not greater than G from the surface of graphics of F; these points form a blanket» with ...

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A FRACTAL DIMENSION BASED OPTIMAL WAVELET PACKET ANALYSIS ...

A FRACTAL DIMENSION BASED OPTIMAL WAVELET PACKET ANALYSIS ...

A FRACTAL DIMENSION BASED OPTIMAL WAVELET PACKET ANALYSIS TECHNIQUE FOR CLASSIFICATION OF MENINGIOMA BRAIN TUMOURS Omar S. Al-Kadi Department of Informatics, University of Sussex, Brighton, UK ABSTRACT With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet analysis can ...

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Long memory model of resting state functional MRI

Long memory model of resting state functional MRI

4 Fractal-based analyses 78 4.1 Introduction 78 4.2 Fractal-based connectivities 84 4.2.1 Nonfractal connectivity 85 4.2.2 Fractal connectivity 85 4.3 Wavelet-based estimation 89 4.3.1 Estimation of memoryparameters 91 4.3.1.1 Maximumlikelihood estimation 91 4.3.1.2 LMSestimation 92 4.3.1.3 Multivariate WLMSestimation 94 4.3.2 Estimation of fractal-based connectivities 95 4.3.2.1 SDF-based ...

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20103rdInternational Congress on Image and Signal Processing

20103rdInternational Congress on Image and Signal Processing

An Improved Fractal ImageCoding Based onthe Quadtree 529 BohongLiu,andYingYan Attacktoan ImageEncryptionAlgorithmbased on Improved ChaoticCatMaps 533 ShuaiRen, ChengshiGao,QingDai, andXiaoFeiFei Deblocking BDCT-Compressed ImagesbyTVFiltering 537 SongZhang FastFractal ImageEncodingBased onCorrelation InformationFeature 540 Qiang Wang,DequnLiang,andSheng Bi MultipleDescription Codingfor ...

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