Sub-pixel Distance Measurement Algorithm Based on Improved SURF

Abstract A sub-pixel-level measurement algorithm based on improved SURF is proposed. Firstly, the sobel operator is used to extract the edge of the image quickly in order to highlight the potential feature point, and reduce the detected range of the SURF algorithm. Then use the SURF algorithm to obtain the sub-pixel level coordinates of the matching feature points in the two images. After the match, the affine transformation remove the wrong match point. Finally, the moving distance is calculated by using the sub-pixel-level coordinates of the matching points. The experimental results show that the error of the moving distance is less than 3 %, according to the feature points of the two images. And if the original image resolution is 2560 * 1440, the required running time is only 0.3 to 0.4 seconds.

Keywords Distance Measurement, SURF, Subpixel, Sobel.

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Engineering Journal: Sub-pixel Distance Measurement Algorithm Based on Improved SURF

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