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2 February 2009 A novel edge detection approach used for online dimensional measurement of heavy forging
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Abstract
An edge detection method was developed with capability of objectively detecting significant edges in images of high temperature forging. The issue of potential image degradation when viewing hot objects was serious concerned. The paper was absorbed in online dimensional measurement using stereovision technology. Particular characteristics of high temperature forging were described. A global self-adaptive thresholding preprocessing was used for eliminating most redundant mill scale regions and segmenting object from complex background. Then, the feature edges was detected and localized at single pixel scale. Post processing of surround suppression as final additional step was applied to improve edges detection performance by extracting genuine feature edges from edges map. The entire method was performed on a real hot forging image and the performance had been proved in experiment result. The approach was specifically designed for using in online dimensional measurement of heavy forging, but generally enough to be applied to other edge detection of any high-temperature object.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunhai Hu and Xiaoxue Song "A novel edge detection approach used for online dimensional measurement of heavy forging", Proc. SPIE 7160, 2008 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Applications, 71602N (2 February 2009); https://doi.org/10.1117/12.807046
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