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Image Stitching in Smog Weather based on MSR and SURF

Volume 14, Number 9, September 2018, pp. 2189-2196
DOI: 10.23940/ijpe.18.09.p28.21892196

Guanghong Lia, Xuande Jib, and Ming Zhangc

aEngineering Training Center, Luoyang Institute of Science and Technology, Luoyang, 471023, China
bSchool of Electrical Engineering and Automation, Luoyang Institute of Science and Technology, Luoyang, 471023, China
cLuoyang Zhichao Mechanical and Electrical Technology Limited Company, Luoyang, 471000, China

(Submitted on June 8, 2018; Revised on July 12, 2018; Accepted on August 21, 2018)


Image stitching can enlarge the range of viewing angles and increase different images information, and it is used in many fields such as industry, civil, and military. However, smog weather is an environmental problem in our country, because it can cause serious degradation of images. The loss of characteristic information will have negative impacts on the subsequent stitching process. Firstly, the smog image should be improved. In this paper, the application of the Multi-Scale Retinex (MSR) algorithm and the comparison and objective evaluation between it and the Histogram Equalization (HE) is discussed. Then, after removing the smog, the image is registered using local invariant features and the Speeded-up Robust Features (SURF) algorithm, and the Euclidean distance is adopted to obtain a satisfactory matching. Finally, the image stitching after registration may produce discontinuity of brightness in the overlapping area, and a higher quality stitching image can be achieved more quickly by using the progressive fade-out method. Through experiments and simulations, the smog images could be well stitched after removing the smog.


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