Study on detection system of precision casting cracks based on image processing

Shuman Yang; Zhiyi Sun; Qianlai Sun; Yin Wang; Shunlin An

doi:10.1117/12.2281940

21 July 2017 Study on detection system of precision casting cracks based on image processing

Shuman Yang, Zhiyi Sun, Qianlai Sun, Yin Wang, Shunlin An

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104201A (2017) https://doi.org/10.1117/12.2281940
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

The visual detection technology plays an important role in the industry of precision casting. With pertinence to the features of crack images of precision casting, an automatic detection and identification software for cracks of precision casting integrating crack segmentation, identification, measurements and extractions was designed and developed. Adopting the threshold segmentation, morphological processing, feature identifications as well as feature extraction and proposing a detection method with pertinence to the precision casting crack characteristics. The software effectively eliminates the influences on the detection results by the operators due to such factors as the detection environment, fatigue degree, visual resolution and working experience. The processing of the actually collected crack images of precision casting verified the efficacy and practicality of the software in the field of casting detection.

Citation Download Citation

Shuman Yang, Zhiyi Sun, Qianlai Sun, Yin Wang, and Shunlin An "Study on detection system of precision casting cracks based on image processing", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104201A (21 July 2017); https://doi.org/10.1117/12.2281940

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