An image correction method based on corner point detection

Weiqin Huang; Yikai Gu; Yulong Fu; Yongfu Li; Yue Han

doi:10.1117/12.2653505

8 December 2022 An image correction method based on corner point detection

Weiqin Huang, Yikai Gu, Yulong Fu, Yongfu Li, Yue Han

Proceedings Volume 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022); 124742I (2022) https://doi.org/10.1117/12.2653505
Event: Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 2022, Guilin, China

Abstract

To better achieve image correction effect, an image correction method based on corner point detection is proposed. In image preprocessing, firstly, image equalization is achieved based on the contrast limited adaptive histgram equalization to avoid the problems caused by illumination and suppress noise while maintaining details, and then adaptive threshold segmentation is performed using the OTSU to obtain the binarized image. In the corner point detection stage, the contours of the binarized image are extracted firstly and the closed contours are filled to avoid the independent contours from affecting the accuracy of region growth, then the center point of the image is used as the seed pixel for region growth, and finally the four corner points are calculated based on the linear contours of the growth region and Hough theory, where the accurate region growth result can avoid the influence of the background on the corner point detection. In the correction stage, the perspective matrix is calculated by the four corner points, and the image is corrected by the perspective transformation. The experiments show that the proposed method can accurately find the corner points of document images and achieve efficient correction.

Citation Download Citation

Weiqin Huang, Yikai Gu, Yulong Fu, Yongfu Li, and Yue Han "An image correction method based on corner point detection", Proc. SPIE 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 124742I (8 December 2022); https://doi.org/10.1117/12.2653505

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