نتایج جستجو برای: occurrence matrix

تعداد نتایج: 513075  

2003
Jacopo Grazzini Hussein Yahia Isabelle Herlin Antonio Turiel

In this paper, we deal with the problem of extracting meaningful textural features leading to good segmentations on satellite images of natural environments. Standard texture features using graylevel co-occurrence matrices have been widely applied on remote sensed images but they impose limitations (due to finite window sizes) as poor spatial localization. We have generalized the definition of ...

Journal: :CoRR 2010
H. B. Kekre Saylee M. Gharge Tanuja K. Sarode

The development and application of various remote sensing platforms result in the production of huge amounts of satellite image data. Therefore, there is an increasing need for effective querying and browsing in these image databases. In order to take advantage and make good use of satellite images data, we must be able to extract meaningful information from the imagery. Hence we proposed a new...

2003
Seong-O Shim Tae-Sun Choi

Image indexing based on Modified Color Co-occurrence Matrix (MCCM) is proposed in this paper. First, CCM is simplified to represent the number of color (hue) pairs between adjacent pixels in the image. And then, CCM is split into diagonal and non-diagonal elements that constitute two elements of MCCM. Indexing the image by MCCM could exploit shape information in abstract level. Proposed MCCM is...

2002
MANFRED STELZER

We show that certain co–H spaces, constructed by Anick and Gray, carry a homotopy co–associative and co–commutative co–H structure.

2004
DANA L. PETERSON STEPHEN L. EGBERT KEVIN P. PRICE EDWARD A. MARTINKO

Statewide land-cover change detection analysis provides a useful tool for conservation planning and environmental monitoring and addresses issues of habitat fragmentation and urban sprawl. Furthermore, land-cover data offer a historical and recent perspective on landscape dynamics. To this end, the first alliance level land-cover map of Kansas (Kansas Vegetation Map) recently completed by the K...

1996
William H. Nailon Steve McLaughlin Timothy Spencer M. Pauliina Ramo

Thrombosis of coronary arteries is a condition responsible for many acute coronary syndromes. The ability to categorise thrombus belonging to distinct pathological groups, would contribute to the understanding of the pathophysiologic structure of individual lesions, as well as making a signiicant contribution to treatment choice. Here, we investigate the use of statistical texture analysis tech...

1998
Bernard Bourguignon Serge Carrez Bogdan Dragnea Henri Dubost

Sum frequency generation and IR absorption spectra of CO adsorbed on Pd(111) are reported. Adsorption of CO in the surface temperature range 150–230 K results in the appearance of extra peaks in the spectral range of the CO stretching vibration. The conditions of appearance of these peaks, and their stability, are investigated. The extra peaks are assigned to sites at antiphase domain boundarie...

آقایی نیا, حسن, ابوالقاسمی, مجتبی , فائز, کریم,

In this paper two novel steganalysis methods is presented based on co-occurrence matrix of an image. It is shown that by using features extracted from this matrix, we can differentiate between cover and stego images. These features include energy, entropy, contrast, inverse difference moment, maximum probability and correlation. We use SVM classification for separation of cover and stego imag...

2003
Leena Lepistö Iivari Kunttu Jorma Autio Ari Visa

Texture analysis and classification are usual tasks in pattern recognition. Rock texture is a demanding classification task, because the texture is often non-homogenous. In this paper, we introduce a rock texture classification method, which is based on textural and spectral features of the rock. The spectral features are considered as some color parameters whereas the textural features are cal...

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