| 한글제목(Korean Title) |
Image Path Searching using Auto and Cross Correlations |
| 영문제목(English Title) |
Image Path Searching using Auto and Cross Correlations |
| 저자(Author) |
Young Bin Kim
Kwang Ryol Ryu
|
| 원문수록처(Citation) |
VOL 09 NO. 06 PP. 0747 ~ 0752 (2011. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
The position detection of overlapping area in the interframe for image stitching using auto and cross correlation function (ACCF) and compounding one image with the stitching algorithm is presented in this paper. ACCF is used by autocorrelation to the featured area to extract the filter mask in the reference (previous) image and the comparing (current) image is used by crosscorrelation. The stitching is detected by the position of high correlation, and aligns and stitches the image in shifting the current image based on the moving vector. The ACCF technique results in a few computations and simplicity because the filter mask is given by the featuring block, and the position is enabled to detect a bit movement. Input image captured from CMOS is used to be compared with the performance between the ACCF and the window correlation. The results of ACCF show that there is no seam and distortion at the joint parts in the stitched image, and the detection performance of the moving vector is improved to 12% in comparison with the window correlation method. |
| 키워드(Keyword) |
ACCF
Auto and cross correlations
image stitching
image filtering
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| 파일첨부 |
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