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Image Processing Approaches and Disaster Management

Image Processing Approaches and Disaster Management
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Author(s): Surendra Rahamatkar (Amity University, Raipur, India)
Copyright: 2020
Pages: 25
Source title: Challenges and Applications for Implementing Machine Learning in Computer Vision
Source Author(s)/Editor(s): Ramgopal Kashyap (Amity University, Raipur, India)and A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)
DOI: 10.4018/978-1-7998-0182-5.ch007

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Abstract

This chapter presents the relevance of picture handling to distinguish different sorts of harm. For areal-type harm, 1) edge extraction, 2) unsupervised arrangement, 3) texture examination, and 4) edge improvement are suitable to distinguish harmed zone. For liner-type harm, it is hard to improve the permeability of harm partition by picture preparing. Likewise, the impact of overlaying office information to help staff to discover harm at an extraction is described.

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