E3S Web Conf.
Volume 209, 2020ENERGY-21 – Sustainable Development & Smart Management
|Number of page(s)||4|
|Section||Session 2. Advanced Energy Technologies: Clean, Resource-Saving, and Renewable Energy|
|Published online||23 November 2020|
Using of Viola and Jones Method to Localize Objects in Multispectral Aerospace Images based on Multichannel Features
1 Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russian Federation
2 Smart Engines Service LLC, Moscow, Russian Federation
* Corresponding author: firstname.lastname@example.org
A new algorithm for localizing engineering objects on multispectral images based on the Viola and Jones method has been developed. The proposed algorithm uses multichannel features allowing to construct classifiers that are sensitive to features of joint brightness distribution and the brightness distribution in different channels. The algorithm described in the paper provides a precision value of 0.96 and a recall value of 0.99 in the problem of localizing oil storage tank images in a set of aerospace images. The proposed algorithm can be used for visual analytics and automatic detection of various critical objects in aerospace images.
Key words: Viola and Jones method / multispectral aerospace / multichannel features
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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