Image Fusion Algorithm Based on Contourlet Transform and PCNN for Detecting Obstacles in Forests

Zheng Yu; Lei Yan; Ning Han; Jinhao Liu

doi:10.1515/cait-2015-0010

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Image Fusion Algorithm Based on Contourlet Transform and PCNN for Detecting Obstacles in Forests

Cybernetics and Information Technologies

Volume 15 (2015): Issue 1 (March 2015)

By: Zheng Yu, Lei Yan, Ning Han and Jinhao Liu

Open Access

|Mar 2015

Abstract

In this paper the image fusion algorithm based on Contourlet transform and Pulse Coupled Neural Network (PCNN) was proposed to improve the performance of the image fusion in the detection accuracy of obstacles in forests. At the same time, the wavelet transform and the Principal Component Analysis (PCA) were simulated for comparison with the proposed algorithm. Then visible and infrared thermal images were collected in a forest. The experimental results have shown that the fused images using the method proposed provided a better understanding of the reality, enhanced images’ clarity and eliminated factors which provided shelters for targets.

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Articles in this issue

DOI: https://doi.org/10.1515/cait-2015-0010 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 116 - 125

Published on: Mar 13, 2015

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Contourlet transform,

image usion,

obstacles in forests,

pulse coupled neural network

Related subjects:

Computer sciences,

Information technology

© 2015 Zheng Yu, Lei Yan, Ning Han, Jinhao Liu, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 15 (2015): Issue 1 (March 2015)