نتایج جستجو برای: color co occurrence matrix

تعداد نتایج: 936278  

2017
Uhram Song Hun Park

Background: Although phytoremediation is a promising method for pollution control, biomass produced by the remediation process must be managed; otherwise, it will eventually return to the environment and cause secondary pollution. Therefore, research and policy development for the post-remediation management of biomass are both required. Results: While there are many published studies of phytor...

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...

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...

2013

This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is fnished, the process is as follows: quantifying the color space in non-equal intervals, constructing one dimension feature vector and representing the color feature by cumulative histogram. Similarly, the work of texture ...

2011
Rao Muhammad Anwer David Vázquez Antonio M. López

Human detection is a key component in fields such as advanced driving assistance and video surveillance. However, even detecting non-occluded standing humans remains a challenge of intensive research. Finding good features to build human models for further detection is probably one of the most important issues to face. Currently, shape, texture and motion features have deserve extensive attenti...

2015
Rasigiri Venkata Lakshmi Srinivasa Reddy Chandra Sekharaiah

The Applications of Pattern recognition like wood classification, stone and rock classification problems, the major usage techniques ate different texture classification techniques. Generally most of the problems used statistical approach for texture analysis and texture classification. Gray Level Co-occurrence Matrices (GLCM) approach is particularly applied in texture analysis and texture cla...

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