Research on image enhancement of light stripe based on template matching

• Main Authors: Siyuan Liu, Haojing Bao, Yunhui Zhang, Fenghui Lian, Zhihui Zhang, Qingchang Tan
• Format: Article
• Language: English
• Published: SpringerOpen 2018-11-01
• Series: EURASIP Journal on Image and Video Processing
• Subjects: Image enhancement; Light stripe; Template matching; Images optimization
• Online Access: http://link.springer.com/article/10.1186/s13640-018-0362-y

Abstract The detection accuracy of the light stripe centers is an important factor based on the structured light vision measurement, and the quality of the light stripe images is a prerequisite for accurately detecting the light stripe centers; this paper separately proposes image enhancement methods for linear and arc light stripe images. For linear light stripes, the image with better quality is captured and the gray-scale distribution of the normal section corresponding to the light stripe centers is used as a template for light stripe images with poor quality. The poor quality light stripe images are finally optimized by linear interpolation. For arc-shaped light stripes, this paper proposes a positioning method for light stripe centers on arc, and then the gray-scale distribution of the normal cross-section of corresponding center which is on a good quality light stripe image is used as templates to improve the poor quality light quality stripe images. In order to verify the effectiveness of the light stripe image enhancement algorithms, this paper respectively presents verification methods to linear light stripe and arc light stripe. Finally, the quality of the light stripe images could be improved by image enhancement algorithms through experiments.