Paper Title:
Automatic Shape Grading of Pearl Using Machine Vision Based Measurement
  Abstract

A method of automatic shape grading of pearl using machine vision is presented in this paper. Firstly, the preprocessed color image is segmented according to its grey degree histogram. Then the morphological closing operation is adopted to eliminate the noise points. An 8-directional boundary-tracing algorithm is applied to obtain the sequences of the boundary. And then the Euclidean distance between the pearls under checking is compared with ones in the standard template library, which is utilized to distinguish the pearls’ shape. Finally the experimental result demonstrates the validity and practicability of this method.

  Info
Periodical
Edited by
Yuri Chugui, Yongsheng Gao, Kuang-Chao Fan, Roald Taymanov and Ksenia Sapozhnikova
Pages
389-392
DOI
10.4028/www.scientific.net/KEM.437.389
Citation
Y. L. Cao, H. W. Zheng, J. X. Yang, Y. F. He, "Automatic Shape Grading of Pearl Using Machine Vision Based Measurement", Key Engineering Materials, Vol. 437, pp. 389-392, 2010
Online since
May 2010
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