Title :
Multi-resolution Decoding Method of Symbol M Array Surface Structured Light
Author :
Yu Qing-cang ; Hai-Ming, Feng ; Hai-Xiang, Zhang
Author_Institution :
Dept. of Inf. & Electron., Zhejiang Sci-Tech Univ., Hangzhou, China
Abstract :
Multi-resolution decoding method of Symbol M array surface structured light is studied in this paper, combined with the characteristics of a standard symbol classification and identification which based on the heart-shaped, the extraction method of unidentified region is focused on during a multi-resolution decoding process, and then raised the specific treatment to image signs and symbols combined with practical problems, such as segment symbol interval, and fill with cross-shaped area, and then realize the purpose of uneven illumination surface structured light image decoding rate maximization. At the same time, the implementation efficiency of the uneven illumination pattern image decoding is greatly improved by the decoding method.
Keywords :
decoding; feature extraction; image classification; image coding; image resolution; image sign; multiresolution decoding method; symbol M array surface structured light; symbol classification; symbol identification; uneven illumination pattern image decoding; unidentified region extraction method; Arrays; Decoding; Feature extraction; Histograms; Image recognition; Image segmentation; Lighting; Decoding; Illumination; Multi-resolution; Structured Light; Symbol;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.136