Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/116845
Author(s): | Sourav Samanta Amartya Mukherjee Amira S. Ashour Nilanjan Dey João Manuel R. S. Tavares Wahiba Ben Abdessalemkaraa Redha Taiar Ahmad Taher Azar Aboul Ella Hassanien |
Title: | Log Transform Based Optimal Image Enhancement Using Firefly Algorithm for Autonomous Mini Unmanned Aerial Vehicle: An Application of Aerial Photography |
Issue Date: | 2018-10 |
Abstract: | The Unmanned Aerial Vehicles (UAV) are widely used for capturing images in border area surveillance, disaster intensity monitoring, etc. An aerial photograph offers a permanent recording solution as well. But rapid weather change, low quality image capturing equipments results in low/poor contrast images during image acquisition by Autonomous UAV. In this current study, a well-known meta-heuristic technique, namely, Firefly Algorithm (FA) is reported to enhance aerial images taken by a Mini Unmanned Aerial Vehicle (MUAV) via optimizing the value of certain parameters. These parameters have a wide range as used in the Log Transformation for image enhancement. The entropy and edge information of the images is used as an objective criterion for evaluating the image enhancement of the proposed system. Inconsistent with the objective criterion, the FA is used to optimize the parameters employed in the objective function that accomplishes the superlative enhanced image. A low-light imaging has been performed at evening time to prove the effectiveness of the proposed algorithm. The results illustrate that the proposed method has better convergence and fitness values compared to Particle Swarm Optimization. Therefore, FA is superior to PSO, as it converges after a less number of iterations. |
Subject: | Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
Scientific areas: | Ciências da engenharia e tecnologias Engineering and technology |
URI: | https://hdl.handle.net/10216/116845 |
Document Type: | Artigo em Revista Científica Internacional |
Rights: | openAccess |
Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
Files in This Item:
File | Description | Size | Format | |
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298103.pdf | Paper draft | 2.14 MB | Adobe PDF | View/Open |
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