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http://dx.doi.org/10.7848/ksgpc.2017.35.1.41

Thermal Image Mosaicking Using Optimized FAST Algorithm  

Nguyen, Truong Linh (Dept. of Civil and Environmental Engineering, Chonnam National University)
Han, Dong Yeob (Dept. of Marine and Civil Engineering, Chonnam National University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.35, no.1, 2017 , pp. 41-53 More about this Journal
Abstract
A thermal camera is used to obtain thermal information of a certain area. However, it is difficult to depict all the information of an area in an individual thermal image. To form a high-resolution panoramic thermal image, we propose an optimized FAST (feature from accelerated segment test) algorithm to combine two or more images of the same scene. The FAST is an accurate and fast algorithm that yields good positional accuracy and high point reliability; however, the major limitation of a FAST detector is that multiple features are detected adjacent to one another and the interest points cannot be obtained under no significant difference in thermal images. Our proposed algorithm not only detects the features in thermal images easily, but also takes advantage of the speed of the FAST algorithm. Quantitative evaluation shows that our proposed technique is time-efficient and accurate. Finally, we create a mosaic of the video to analyze a comprehensive view of the scene.
Keywords
Image Stitching; Image Feature Detection; Thermal Image; Optimized Fast Algorithm;
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