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http://dx.doi.org/10.7471/ikeee.2018.22.3.578

FPGA implementation of high temperature feature points extraction algorithm for thermal image  

Ko, Byoung-Hwan (Dept. of Electronics Engineering, CheongJu University)
Kim, Hi-Seok (Dept. of Electronics Engineering, CheongJu University)
Publication Information
Journal of IKEEE / v.22, no.3, 2018 , pp. 578-584 More about this Journal
Abstract
Image segmentation has been presented in the various method in image interpretation and recognition, and the image is using separate the characteristics of the specific purpose. In this paper, we proposed an algorithm that separate image for feature points detected to high temperature in a Thermal infrared image. In order to improve the processing time, the proposed algorithm is implemented to FPGA Hardware Block using the Zynq-7000 Evaluation Board environment. The proposed High-Temperature Detection Algorithm and total FPGA blocks show a decrease of a processing time result from 16ms to 0.001ms, and from 50ms to 0.322ms respectively. It is also verified similar results of the PSNR to comparing software thermal testbench and hardware ones.
Keywords
FPGA; processing time; Thermal infrared image; High Temperature Detection Algorithm;
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