No time, micro-flaw, small flaws, defects, heavy flaw of the automatic
sorting. Flat, and other shapes. Pearl cufflinks in need of sorting. Able to
achieve the shape of pearl cufflinks evaluation criteria as follows: round,
oval, automatic sorting luster strong, strong, medium, or weak; gloss irregular
distribution of the automatic election of a different color pearl cufflinks.
Make appropriate adjustments towards the cufflinks China's pearl cufflinks
industry there is still much room for improvement, the introduction of pearl
cufflinks quality inspection system, the automation of the production of pearl
cufflinks, intelligent, and will be able to exclude most of the drawbacks of the
artificial separation. Cufflinks in the minds of consumers
Color evaluation
criteria: a series of white, red, yellow, black; the same color, the color of
pearl cufflinks automatic sorting according to the color differences.
Demonstration sector shown in Figure 1.4. You can see, the shape, texture
classification relatively small number of applications on the market is not
widely used. In addition Bin moments shape classification method of pearl
cufflinks. ZhaoShu'an, Zhou Hong, LiuJing, He Li, GE Li, etc. who also made
fruit detection method based on the the Zernike Dongjian. People the Guan
Guangrongt proposed fuzzy classification based on Zernike moment people meters.
Journal of Zhejiang University Chapter 1 Introduction Figure I. When we arrived
home, I began to put the cufflinks in order.
An intellectual image analysis
system abroad, has long been a similar study. For example, M-Recce, J. Taylor,
who proposed the classification based on the visual quality of orange, "the DM
Bulanon et in 2001 to research and development of apple-picking machine hand
machine T. Control visual navigation system, Paul of H. Heinemann,, Niranjan of
P. Pathare and Morrowl6, Charles] proposed a machine vision-based automated
potato grading, automatic detection based on machine vision system. Suddenly I
found the mens cufflinks were missing. Technical difficulties pearl cufflinks
facing some technical difficulties of automatic sorting.
The difficulty
stems above all from the pearl cufflinks image acquisition. In order to minimize
the follow-up testing. T for the difficulty, demanding access to images of pearl
cufflinks. Ordinary digital camera pictures of pearl cuff links, and often lack
of clarity can not be restored to the real texture of pearl cufflinks, and the
day.
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