An improved distortion feature information restoration method

Yang Liu; Qingjia Lv; Caihong Wang; Huihui Wang; Song Gao; Tengsen Wang; Peng Wang

doi:10.1117/12.2611272

14 October 2021 An improved distortion feature information restoration method

Yang Liu, Qingjia Lv, Caihong Wang, Huihui Wang, Song Gao, Tengsen Wang, Peng Wang

Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 119302B (2021) https://doi.org/10.1117/12.2611272
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China

Abstract

Accurate acquisition of image features is particularly important for environmental perception of robots. It is difficult to obtain the image features accurately and effectively because of the interference of high-light reflection of the parts’ surface. To solve this problem an improved distortion feature information restoration method is proposed in this paper. First, an image acquisition method is proposed, which can successfully reduce the effect of high-light reflection. Then, an image quality evaluation method based on cosine similarity is proposed to realize the accurate evaluation image quality of highlight reflection image. Finally, an image quality compensation method is proposed to effectively reduce the effect of high light distortion on feature extraction. Contrastive experiments fully prove that the method proposed in this paper can effectively improve the problem of feature recognition caused by local strong light interference, and the accuracy of image surface feature extraction after compensation is significantly improved.

Citation Download Citation

Yang Liu, Qingjia Lv, Caihong Wang, Huihui Wang, Song Gao, Tengsen Wang, and Peng Wang "An improved distortion feature information restoration method", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 119302B (14 October 2021); https://doi.org/10.1117/12.2611272

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KEYWORDS

Image quality

Image acquisition

Feature extraction

Image filtering

Reflection

Image information entropy

Image processing

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