Real-time stitching method for infrared image

Chengtao Cai; Bing Fan; Qidan Zhu

doi:10.1117/1.OE.57.11.113103

21 November 2018 Real-time stitching method for infrared image

Chengtao Cai, Bing Fan, Qidan Zhu

Author Affiliations +

Optical Engineering, Vol. 57, Issue 11, 113103 (November 2018). https://doi.org/10.1117/1.OE.57.11.113103

Abstract

Infrared images acquired by forward-looking infrared camera have a limited field of view that is insufficient to monitor the entire scene with a single frame. To generate images containing the entire scene, infrared images can be assembled using image stitching. However, direct application of traditional image stitching methods has the disadvantage of long delays, large amounts of computation, and high memory storage. We present a real-time stitching method for infrared images. First, modified normalized cross correlation is introduced to find the overlapping area. Therefore, feature detection only needs to operate in overlapping areas. Also, scale-invariant feature transform is modified according to the properties of the infrared image. In addition, we implement the proposed method on an embedded system that is low cost, portable, and highly real-time. Our experimental results show the proposed method has almost the same quality of panorama compared with state-of-the-art methods, but the computation time is reduced significantly.

Citation Download Citation

Chengtao Cai, Bing Fan, and Qidan Zhu "Real-time stitching method for infrared image," Optical Engineering 57(11), 113103 (21 November 2018). https://doi.org/10.1117/1.OE.57.11.113103

Received: 21 August 2018; Accepted: 1 November 2018; Published: 21 November 2018

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