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Proceedings Paper

Parallel data processing based on image feature extraction in reverse measurement
Author(s): Guanghui Li; Guangjun Liu; Liangjun Song; Guangyu Tan
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Paper Abstract

A model of a measurement system composed by two CCD cameras using parallel binocular line-structured light is proposed. The singular value decomposition is used to solve the over-determined equation to obtain the parameters in the imaging model of the cameras. The feature recognition technique is applied to segment feature information of the image in the process of range image acquisition. Then pre-processing (image smoothing, binaryzation and image segmentation) of the image is processed, and the image is condensed to remove useless information. The image acquisition and condensing are carried out in parallel to gather image and extract effective data simultaneously. The proposed method solves the difficulty of removing the disturbed information in range image and realizes parallel data processing, which greatly simplifies the following work of image matching and image characteristic data extraction.

Paper Details

Date Published: 15 November 2007
PDF: 9 pages
Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67881C (15 November 2007); doi: 10.1117/12.749412
Show Author Affiliations
Guanghui Li, Guangdong Ocean Univ. (China)
Harbin Univ. of Science and Technology (China)
Guangjun Liu, Tongji Univ. (China)
Liangjun Song, Harbin Univ. of Science and Technology (China)
Guangyu Tan, Guangdong Ocean Univ. (China)
Harbin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6788:
MIPPR 2007: Pattern Recognition and Computer Vision

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