Results 271 to 280 of about 49,054 (309)
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Extracting textural features from tactile sensors
Bioinspiration & Biomimetics, 2008This paper describes an experiment to quantify texture using an artificial finger equipped with a microphone to detect frictional sound. Using a microphone to record tribological data is a biologically inspired approach that emulates the Pacinian corpuscle.
Edwards, JR +3 more
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Contourlet-Based Feature Extraction on Texture Images
2008 International Conference on Computer Science and Software Engineering, 2008According to the directional property and coefficients energy feature in contourlet decomposition, we proposed a new algorithm which is adapted to extract the rotated texture?s features. By using this algorithm, we can take good advantage of directional information in contourlet decomposition by different decomposition level. With the extracted feature
Zhao Yifan, Xia Liangzheng
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Extracting Texture Features for Time Series Classification
2014 22nd International Conference on Pattern Recognition, 2014Time series are present in many pattern recognition applications related to medicine, biology, astronomy, economy, and others. In particular, the classification task has attracted much attention from a large number of researchers. In such a task, empirical researches has shown that the 1-Nearest Neighbor rule with a distance measure in time domain ...
Vinícius M. A. de Souza +2 more
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Heteroscedastic Feature Extraction for Texture Classification
IEEE Signal Processing Letters, 2009Linear discriminant analysis (LDA) is a well-known feature extraction method in statistical pattern recognition community. The basic idea of LDA is to find a set of optimal discriminant vectors that maximize the Fisher's discriminant criterion. One major problem of the Fisher's criterion is that its discriminant performance largely depends on the class
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Textural features extraction for image integrity verification
International Journal of Electronic Security and Digital Forensics, 2008Soft authentication intends to distinguish specific acceptable image manipulations from malicious ones. In this article, we propose a soft authentication scheme based on texture features and digital signature. It can detect and locate malicious manipulations made to individual image blocks, and verify the integrity of the overall image. It makes use of
Samia Boucherkha, Mohamed Benmohamed
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Textural feature extraction in seismic images
The Journal of the Acoustical Society of America, 1984This lecture introduces a set of second-order statistical features that can be used to discriminate among several textural classes associated with seismic reflection configuration patterns. It is well known in the petroleum geology community that some of these patterns are characteristic of certain types of rock formations.
H. E. Stephanou, S. Y. Lu
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An Approach for Extracting Illumination-Independent Texture Features
2007A common issue in many computer vision applications is the effect of the illumination conditions on the performance and reliability of the built system. In many cases the researchers have to face an extra problem: to study the environmental conditions of the facilities where the application will run, the light technology and the wattage of the chosen ...
Rubén Muñiz, José Antonio Corrales
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Using spectrum to extract texture feature
2002 3rd International Symposium on Electromagnetic Compatibility, 2003Extracting texture features is a key step in texture analysis. Various methods for texture analysis have been proposed (see Salari, E., Pattern Recognition, vol.28, no.12, 1993; Chen, J.L., Proc. ICASSP, vol.3, 1992). An efficient description of texture features is necessary, and the computational load is an important aspect.
null Zhitao Xiao +2 more
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Texture Feature Extraction and Classification for Iris Diagnosis
2007Appling computer aided techniques in iris image processing, and combining occidental iridology with the traditional Chinese medicine is a challenging research area in digital image processing and artificial intelligence. This paper proposes an iridology model that consists the iris image pre-processing, texture feature analysis and disease ...
Lin Ma 0003, Naimin Li
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Bark texture feature extraction based on statistical texture analysis
Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004., 2005This paper quantitatively describes and discusses the usefulness of texture analysis methods for the recognition of bark. Comparative studies of bark texture feature extraction are performed for the four texture analysis methods such as the gray level run-length method (RLM), co-occurrence matrices method (COMM) and histogram method (HM) as well as ...
null Yuan-Yuan Wan +6 more
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