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Texture analysis using income inequality metrics

2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014
Texture analysis on digital images can be used to correctly segment areas of an image and/or classify different objects within the field of view of a digital camera. Depending on the application, one can use a Gray Level Co-occurrence Matrix (GLCM) to detect patterns or a simple contrast measure such as variance can be a good metric as well.
Gabriel Thomas, Manickavasagan Annamalai
openaire   +1 more source

Texture features based on the use of the hough transform and income inequality metrics

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017
Texture analysis of digital images has potential applications to image segmentation and classification. The quality of texture features can significantly determine the outcome of these two important applications. For images that consist of textures defined as patterns of straight lines, the use of features extracted using the Gray Level Co-occurrence ...
Husam Elsaid   +2 more
openaire   +1 more source

Income Inequality Metrics: Understanding the Issues and Concerns in Inequality Measurement

SSRN Electronic Journal, 2015
The essay deals with the definition of inequality, the problems and principles of any inequality measurement. Then it goes on to understand various measurement indices of inequality, their comparative advantages and disadvantages. Finally, it seeks to understand the significance of having inequality measured and compared.
openaire   +1 more source

Risk assessment of microplastic particles

Nature Reviews Materials, 2022
Albert A Koelmans   +2 more
exaly  

Designing modern aqueous batteries

Nature Reviews Materials, 2022
Yanliang Liang, Yan Yao
exaly  

Green metrics in mechanochemistry

Chemical Society Reviews, 2023
Andrea Porcheddu   +2 more
exaly  

Gas diffusion electrodes, reactor designs and key metrics of low-temperature CO2 electrolysers

Nature Energy, 2022
David W Wakerley   +2 more
exaly  

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