نتایج جستجو برای: cartosat1 image 2011

تعداد نتایج: 522796  

2011
H. Sekiguchi

Information leakage of general input operations using button images in graphical user interface on touch screen monitors was experimentally investigated from images reconstructed by receiving the electromagnetic noise. In the experimental investigations for input operations of a personal identification number, it was confirmed that when a button image was touched, the touched button image can b...

2011
E. Sheybani S. Garcia-Otero F. Adnani G. Javidi M. Deshpande Ehsan Sheybani

Received Oct 21, 2011 Revised Nov 29, 2011 Accepted Dec 6, 2011 This research aims at providing means to image comparison from different image processing algorithms for performance assessment purposes. Reconstruction of images corrupted by blur and noise requires specialized filtering techniques. Due to the immense effect of these corruptive parameters, it is often impossible to evaluate the qu...

2012
M. Usha K. Anitha

This study examines the use of image processing and remote sensing in landuse changes mapping for Palladam Taluk between 1972(Topographic sheets) and 2011(satellite images). The layers of landuse map (1972) were digitized by heads-up digitization method in Quantum GIS (QGIS) software environment. Similarly the layers of landuse map (2011) were developed by supervised classification of satellite...

2011
Ángel Dacal-Nieto Arno Formella Pilar Carrión Esteban Vázquez-Fernández Manuel Fernández Delgado

Image Analysis and Processing (ICIAP 2011) ICIAP 2011 Ravenna (Italy), 14-16 September 2011 Acknowledgments: This work was partially supported by the Spanish regional government of the 'Xunta de Galicia' (projects PGIDIT08TIC004CT and PGIDIT08MMA010402PR). We want to acknowledge the 'Laboratorio Oficial de Metroloxía de Galicia (LOMG)' and the 'Centro Tecnolóxico da Carne (CTC)' for their helpf...

Journal: : 2022

Conference report: “The Image of Russia in the Balkans”, Warsaw, 7–9 November 2011Sprawozdanie: Konferencja „The Warszawa, listopada 2011

2011
Michael Adams Amir Averbuch Amit Bermanis Ronald R. Coifman Radu Balan

s of AHAMC 2011 Triangle Meshes for Image Representation

2011
Jacinto Mata Vázquez Mariano Crespo Manuel J. Maña López

This paper shows the experimentation and the results obtained for LABERINTO research group at the ImageCLEF 2011 medical task. We focus our work on image retrieval based on textual information related to the image. The initial hypothesis is that query expansion could improve the effectiveness of image retrieval systems. In this proposal, three different types of indexes were built and several i...

Journal: :jentashapir journal of health research 0
iran davodi faculty of education sciences and psychology, shahid chamran university of ahvaz, ahvaz, ir iran ali asghar firoozi faculty of education sciences and psychology, shahid chamran university of ahvaz, ahvaz, ir iran; faculty of education sciences and psychology, shahid chamran university of ahvaz, ahvaz, ir iran. tel: +98-9358851830, fax: +61-33331366 yadollah zargar faculty of education sciences and psychology, shahid chamran university of ahvaz, ahvaz, ir iran

conclusions concerns about body image, an avoidant attachment style, and cognitive strategies to regulate negative emotions were the strongest predictors for eating disorder symptoms. based on current research findings, an avoidance attachment style, concerns about body image, and negative emotion regulation cognitive strategies increase eating disorder symptoms in students. because attachment ...

2015

SIFT Feature with Relevance Feedback for Image Retrieval Written by Administrator Wednesday, 16 March 2011 08:52 Last Updated Monday, 21 March 2011 07:32 In this paper, we used the Scale Invariant Feature Transform (SIFT) feature for image retrieval. SIFT descriptors are invariant to image scaling, transformation,rotation and partially invariant to illumination changes and affine, gives the loc...

2015

SIFT Feature with Relevance Feedback for Image Retrieval Written by Administrator Wednesday, 16 March 2011 08:52 Last Updated Monday, 21 March 2011 07:32 In this paper, we used the Scale Invariant Feature Transform (SIFT) feature for image retrieval. SIFT descriptors are invariant to image scaling, transformation,rotation and partially invariant to illumination changes and affine, gives the loc...

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