scholarly journals Road Feature Extraction from High Resolution Aerial Images Upon Rural Regions Based on Multi-Resolution Image Analysis and Gabor Filters

10.5772/45893 ◽  
2012 ◽  
Author(s):  
Hang Jin ◽  
Marc Miska ◽  
Edward Chung ◽  
Maoxun Li ◽  
Yanming Feng
Keyword(s):  
Image Analysis ◽  
Feature Extraction ◽  
High Resolution ◽  
Gabor Filters ◽  
Aerial Images ◽  
Rural Regions ◽  
Resolution Image

An automatic analysis method for in situ hybridization using high-resolution image analysis

1989 ◽  
Vol 281 (5) ◽  
pp. 336-341 ◽  
Author(s):  
W. Stolz ◽  
K. Scharffetter ◽  
W. Abmayr ◽  
W. K�ditz ◽  
T. Krieg
Keyword(s):  
Image Analysis ◽  
In Situ Hybridization ◽  
High Resolution ◽  
Automatic Analysis ◽  
Analysis Method ◽  
Resolution Image ◽  
High Resolution Image

scholarly journals Diagnosis and Prognosis of Neuroendocrine Tumours of the Lung by Means of High Resolution Image Analysis

1999 ◽  
Vol 18 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Uta Jütting ◽  
Peter Gais ◽  
Karsten Rodenacker ◽  
Joachim Böhm ◽  
Susanne Koch ◽  
...  
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
Neuroendocrine Tumours ◽  
Malignant Potential ◽  
Low Grade ◽  
Malignant Tumours ◽  
Cox Regression Analysis ◽  
Resolution Image ◽  
High Resolution Image ◽  
Well Differentiated

Neuroendocrine tumours (NET) of the lung are divided in subtypes with different malignant potential. The first is the benign or low‐grade malignant tumours, well‐differentiated, called typical carcinoids (TC) and the second is the high‐grade malignant tumours, poorly differentiated of small (SCLC) or large cell type (LCLC). Between these tumour types lies the well‐differentiated carcinoma with a lower grade of malignancy (WDNEC). In clinical routine it is very important with regard to prognosis to distinguish patients with low malignant potential from those with higher ones. In this study 32 cases of SCLC, 13 of WDNEC and 14 of TC with a follow‐up time up to 7 years were collected. Sections 4 μm thick from paraffin embedded tissue were Feulgen stained. By means of high resolution image analysis 100 nuclei per case were randomly gathered to extract morphometric, densitometric and textural quantitative features. To investigate the ploidy status of the tumour the corrected DNA distribution was calculated. Stepwise linear discriminant analysis to differentiate the classes and Cox regression analysis for the survival time analysis were applied. Using chromatin textural and morphometric features in two two‐class discriminations, 11 of the 14 TC cases and 8 of the 13 WDNEC cases were correctly classified and 11/13 WDNEC cases and 28/32 SCLC cases, respectively. The WDNEC cases are more similar in chromatin structure to TC than to SCLC. For the survival analysis, only chromatin features were selected to differentiate patients with better and worse prognosis independent of staging and tumour type.

A New Approach for Permeability Distribution in Carbonates Using LWD High-Resolution Image Analysis

2017 ◽  
Author(s):  
Chao Chen ◽  
Hossam El-Din Ibrahim ◽  
Tamer G Mostafa ◽  
Sajan R. Nair ◽  
Anar Abdulkarim ◽  
...  
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
New Approach ◽  
Resolution Image ◽  
High Resolution Image ◽  
Permeability Distribution
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