Vegetable Seeds Sorting with Color Machine Vision
碩士 === 國立中興大學 === 農業機械工程學系 === 82 === This vegetable seeds sorting machine is equipped with a vacuum-type seeds sucking disk, an electric sorting circuit, an air jet discharger, namely, the R model and I model, were used in this study. When the gray-l...
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ndltd-TW-082NCHU04150192015-10-13T15:33:32Z http://ndltd.ncl.edu.tw/handle/62500464576996253948 Vegetable Seeds Sorting with Color Machine Vision 應用彩色機器視覺選別蔬菜種子之研究 Huang Cheng Lin 黃正霖 碩士 國立中興大學 農業機械工程學系 82 This vegetable seeds sorting machine is equipped with a vacuum-type seeds sucking disk, an electric sorting circuit, an air jet discharger, namely, the R model and I model, were used in this study. When the gray-level value of R or I image of a seed was greater than the threshold, this seed was considered as a bad seed; otherwise, it was judged as a good seed. During the sorting process, the seeds were poured into the seed room first, then singularized by the sucking disk. As the seed reached the highest position on the sucking disk, the CCD camera grabbed the image of the seed and the computer analysis this image immediately. Then, When the seed reached the lowest position, it was scraped off from the disk and falling down into a container if it was a good seed. If the seed was bad, it would be blown into another container by air jet while it was falling down. The sorting in an array in byte type to control the action of the air jet. Experimental results show that for Chinese cabbage seeds sorting accuracy rate is 98.75% for the R model , and 97.4% for the I model. For cabbage seeds, the accuracy rate is 97.4% and 96.5% for the R model and I model, respectively. It took 0.16 seconds to sort a seed including image acquisition; namely, 375 seeds could be sorted per minute if the motor speed, the actual sorting capacity is 83 seeds per minute. Lee Fang Fan 李芳繁 1994 學位論文 ; thesis 110 zh-TW |
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碩士 === 國立中興大學 === 農業機械工程學系 === 82 === This vegetable seeds sorting machine is equipped with a
vacuum-type seeds sucking disk, an electric sorting circuit, an
air jet discharger, namely, the R model and I model, were used
in this study. When the gray-level value of R or I image of a
seed was greater than the threshold, this seed was considered
as a bad seed; otherwise, it was judged as a good seed. During
the sorting process, the seeds were poured into the seed room
first, then singularized by the sucking disk. As the seed
reached the highest position on the sucking disk, the CCD
camera grabbed the image of the seed and the computer analysis
this image immediately. Then, When the seed reached the lowest
position, it was scraped off from the disk and falling down
into a container if it was a good seed. If the seed was bad, it
would be blown into another container by air jet while it was
falling down. The sorting in an array in byte type to control
the action of the air jet. Experimental results show that for
Chinese cabbage seeds sorting accuracy rate is 98.75% for the
R model , and 97.4% for the I model. For cabbage seeds, the
accuracy rate is 97.4% and 96.5% for the R model and I model,
respectively. It took 0.16 seconds to sort a seed including
image acquisition; namely, 375 seeds could be sorted per minute
if the motor speed, the actual sorting capacity is 83 seeds per
minute.
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author2 |
Lee Fang Fan |
author_facet |
Lee Fang Fan Huang Cheng Lin 黃正霖 |
author |
Huang Cheng Lin 黃正霖 |
spellingShingle |
Huang Cheng Lin 黃正霖 Vegetable Seeds Sorting with Color Machine Vision |
author_sort |
Huang Cheng Lin |
title |
Vegetable Seeds Sorting with Color Machine Vision |
title_short |
Vegetable Seeds Sorting with Color Machine Vision |
title_full |
Vegetable Seeds Sorting with Color Machine Vision |
title_fullStr |
Vegetable Seeds Sorting with Color Machine Vision |
title_full_unstemmed |
Vegetable Seeds Sorting with Color Machine Vision |
title_sort |
vegetable seeds sorting with color machine vision |
publishDate |
1994 |
url |
http://ndltd.ncl.edu.tw/handle/62500464576996253948 |
work_keys_str_mv |
AT huangchenglin vegetableseedssortingwithcolormachinevision AT huángzhènglín vegetableseedssortingwithcolormachinevision AT huangchenglin yīngyòngcǎisèjīqìshìjuéxuǎnbiéshūcàizhǒngzizhīyánjiū AT huángzhènglín yīngyòngcǎisèjīqìshìjuéxuǎnbiéshūcàizhǒngzizhīyánjiū |
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