Laser & Optoelectronics Progress, Volume. 57, Issue 2, 21005(2020)
Image Registration Based on Spectral and Spatial Feature Matching
Fig. 1. Spectrograms of two images. (a)(b) Spectrograms in polar coordinate system; (c)(d) spectrograms in rectangular coordinate syatem
Fig. 2. Two images to be registered with only relative translation
Fig. 3. Diagram of improved mesh matching algorithm
Fig. 4. Relative position of two images to be registered when value of function S is the smallest
Fig. 5. Registered images of two images with inconspicuous features. (a) Gray difference mean value of overlapped area is 6.4564×10-4; (b) gray difference mean value of overlapped area is 8.0699×10-4
Fig. 6. Two images to be registered
Fig. 7. Spectrograms of two images. (a)(b) Spectrograms in polar coordinate system; (c)(d) spectrograms in rectangular coordinate system
Fig. 8. Similarity curve of two spectrograms in rectangular coordinate system obtained by SAD
Fig. 9. Gray level difference curves obtained by coarse matching and fine matching of SAD. (a) Coarse matching; (b) fine matching
Fig. 10. Images after coordinate transformation. (a) Image after registration of two images; (b) image after continuous mosaic of multiple images
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Chen Zefeng, Wu Qingyang, Chen Shunzhi, Li Qifeng, Lu Xiaoting, Huang Haotao. Image Registration Based on Spectral and Spatial Feature Matching[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21005
Category: Image Processing
Received: May. 5, 2019
Accepted: --
Published Online: Jan. 3, 2020
The Author Email: Qingyang Wu (wuqingyang@sztu.edu.cn)