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The Realization of Wavelet Image Fusion and Target Recognition Methods for Embedded System

  • WANG Lei ,
  • MENG Zhimin ,
  • LIU Shuai ,
  • HAO Yongping ,
  • XU Jiulong
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  • Weapon Science and Technology Research Center of Shenyang Ligong University, Shenyang 110159, China

Received date: 2021-01-22

  Online published: 2025-05-30

Abstract

According to tank target, the image registration based on shape context feature leveland wavelet transform image fusion methodis adopted. Subsequently, the target recognition process for tank is developed by extracting HOG features of the fusion image and generatingSVM classifier model. An embedded system infrared and visible light image fusion system is constructed, and an ARM/FPGA prototype iscustomized. The improved methods, such as image line buffering, window buffering methods, are used to process the image to acceleratethe convolution operation of traversing image pixels. The IP core of the fusion algorithm is also customized, and the performance of resourceis optimized and reconfigured, which is based on the software and hardware cooperative design process. Depending on fusion experimentsfor stationary and moving tank targets in PC or embedded system, comparisons results show that the average processing time of single imageis about 51 ms, the frame rate is about 20 Hz, which could meet the demands of real running time.

Cite this article

WANG Lei , MENG Zhimin , LIU Shuai , HAO Yongping , XU Jiulong . The Realization of Wavelet Image Fusion and Target Recognition Methods for Embedded System[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(5) : 12 -18 . DOI: 10.15892/j.cnki.djzdxb.2021.05.003

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Outlines

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