Characterization of urban areas through texture analysis

1998 ◽  
Author(s):  
Giovanna Ober ◽  
Francesca Cella ◽  
Fabrizio Meroni ◽  
Roberto Tomasoni ◽  
Gaetano Zonno
Keyword(s):  
Texture Analysis ◽  
Urban Areas

Characterization of Pancreas at Diabetic Patients in CT images using Texture Analysis

2017 ◽  
Vol 7 (7) ◽  
pp. 8
Author(s):  
Mona E. Elbashier ◽  
Suhaib Alameen ◽  
Caroline Edward Ayad ◽  
Mohamed E. M. Gar-Elnabi
Keyword(s):  
Size Distribution ◽  
Texture Analysis ◽  
Classification Accuracy ◽  
Ct Images ◽  
Diabetic Patients ◽  
Gray Level ◽  
Grey Level ◽  
Run Length ◽  
Interactive Data

This study concern to characterize the pancreas areato head, body and tail using Gray Level Run Length Matrix (GLRLM) and extract classification features from CT images. The GLRLM techniques included eleven’s features. To find the gray level distribution in CT images it complements the GLRLM features extracted from CT images with runs of gray level in pixels and estimate the size distribution of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level distribution of images. The results show that the Gray Level Run Length Matrix and  features give classification accuracy of pancreashead 89.2%, body 93.6 and the tail classification accuracy 93.5%. The overall classification accuracy of pancreas area 92.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate pancreas area names.

Characterization of micrographs and fractographs of Cu-strengthened HSLA steel using image texture analysis

Measurement ◽  
2014 ◽  
Vol 47 ◽  
pp. 130-144 ◽  
Author(s):  
Samik Dutta ◽  
Kaustav Barat ◽  
Arpan Das ◽  
Swapan Kumar Das ◽  
A.K. Shukla ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Hsla Steel ◽  
Image Texture ◽  
Image Texture Analysis

Characterization of Adrenal Lesions on Unenhanced MRI Using Texture Analysis: A Machine-Learning Approach

2018 ◽  
Vol 48 (1) ◽  
pp. 198-204 ◽  
Author(s):  
Valeria Romeo ◽  
Simone Maurea ◽  
Renato Cuocolo ◽  
Mario Petretta ◽  
Pier Paolo Mainenti ◽  
...  
Keyword(s):  
Machine Learning ◽  
Texture Analysis ◽  
Learning Approach ◽  
Machine Learning Approach

Geophysical characterization of an engineering infrastructure: laboratory tests.

2021 ◽  
Author(s):  
Giacomo Fornasari ◽  
Luigi Capozzoli ◽  
Gregory De Martino ◽  
Valeria Giampaolo ◽  
Enzo Rizzo
Keyword(s):  
Urban Areas ◽  
New Technologies ◽  
Detailed Knowledge ◽  
Reinforced Concrete Frame ◽  
The Public ◽  
Civil Infrastructures ◽  
Concrete Frame ◽  
Geophysical Application ◽  
Ground Penetrating

<p>The increase of the metropolises stresses the urban areas and intensive planning works is necessary. Therefore, the development of new technologies and methodologies able to explore the subsoil and manage its resources in urban areas becomes an important source in terms of saving time and money. In the last decade, a new subdiscipline in the Applied Geophysics started: Urban Geophysics (Lapenna, 2017). Urban Geophysics analyzes the contribute, in terms of limits and potentialities, that geophysical methodologies can give for providing useful information about the subsoil, environment, buildings and civil infrastructures and supporting the public administrations in planning interventions in urban scenarios.</p><p>This work introduces a laboratory test, that was performed at the Hydrogeosite CNR-IMAA laboratory of Marsico Nuovo (Basilicata region, Italy). The test consisted in a multisensor geophysical application on an analogue engineering model. Thanks to the possibility to work in laboratory conditions, a detailed knowledge of the structure was available, providing great advantages for assess the capability of the geophysical methodologies for analyze engineering issues, regarding the characterization of the infrastructural critical zone placed at the interface soil-structure. For this purpose, geoelectrical and electromagnetic methodologies, including Cross hole Electrical Resistivity Tomography and Ground Penetrating Radar, were used to characterize the geometry of the foundation structures and the disposition of the rebar for the reinforced concrete frame. Finally, new geophysical approaches were applied in order to define the corrosion rate of reinforcement.</p>

A Comparative Study of Planned and Spontaneous Gentrification Processes

2014 ◽  
Vol 39 (4) ◽  
pp. 28-41
Author(s):  
Mehmet Emin Şalgamcıoğlu ◽  
Alper Ünlü
Keyword(s):  
Comparative Study ◽  
Urban Areas ◽  
Social Geography ◽  
Urban Land ◽  
Social Diversity ◽  
Architectural Pattern ◽  
Cultural Transformations ◽  
Process Characterization ◽  
The Social

This study compared the gentrification processes in Cihangir and Tarlabasi. The dynamics of the gentrification process in Cihangir is compared with the vastly different gentrification process in Tarlabasi. Interpretations of gentrification are also included in this paper. The study analyzed the dynamics of the gentrification process in Cihangir, Istanbul (Turkey) to determine the extent of change during the process. Characterization of the Cihangir neighborhood, which distinguishes Cihangir from other gentrified urban areas, is another aspect of this study. The transformation of Cihangir is currently underway; it involves the revolution and renovation of land and buildings, which is known as gentrification. The gentrification process in Cihangir is affected by socio-economic and socio-cultural transformations. This paper examines gentrification in the Cihangir neighborhood, which has occurred spontaneously and supports the perpetuation of social diversity, which occurs in many urban areas. Although Istanbul’s Tarlabasi region exhibits geophysical characteristics that resemble the geophysical characteristics of Cihangir, Tarlabasi is affected by a completely different gentrification process, which is known as planned gentrification. In the context of this study, scholars question whether gentrification is “erasing the social geography of urban land and unique architectural pattern,” or if gentrification represents “the upgrading and renaissance of the urban land.” (Smith, 1996)

scholarly journals CHARACTERIZATION OF CANINE LEISHMANIASIS BY PCR-RFLP IN CUIABA, MATO GROSSO, BRAZIL

2012 ◽  
Vol 17 (2) ◽  
Author(s):  
Arleana Do Bom Parto Ferreira Almeida ◽  
Daphine Ariadne Jesus de Paula ◽  
Valéria Dutra ◽  
Edson Moleta Colodel ◽  
Luciano Nakazato ◽  
...  
Keyword(s):  
Urban Areas ◽  
Canine Leishmaniasis ◽  
Prevention Measures ◽  
Surrounding Area ◽  
Mato Grosso ◽  
Significant Difference ◽  
Pcr Rflp ◽  
Cutaneous Form ◽  
Canine Infection

Leishmaniases are neglected zoonoses that are increasing in Brazil. The dog is considered the main reservoir of the visceral form in urban areas of Brazil and also important in maintaining the cycle of transmission of the cutaneous form in endemic areas. We used PCR-RFLP to identify the species of Leishmania involved in canine infection in Cuiaba City, Mato Grosso. Samples of bone marrow and lymph were collected from 181 dogs, of which 7.2% tested positive with indirect immunofluorescence and 24.9% using PCR-RFLP; a significant difference (p ≤ 0.05), had been possible to characterize the species Leishmania (L.) chagasi. This will aid in developing prevention measures and in the control of disease in Cuiaba and the surrounding area.

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