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基于機器視覺的水稻種子精選技術
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Selection Based on Machine Vision
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    摘要:

    以面積和寬長比作為稻種類型的特征參數(shù),,建立了稻種類型數(shù)據(jù)庫,;以等價矩形長,、寬的差值最小為標準,,進行了未知稻種類型的判斷;以掃描線上黑白像素的變化次數(shù)和掃描線數(shù)來判斷稻種的破裂,;以不同閾值提取的稻種面積差來判斷稻種是否霉變,。選取豐源優(yōu)299等10種稻種進行實驗,分別進行了種子類型判斷,、工位有無種子判斷,、幾何參數(shù)判斷以及發(fā)霉與破損情況判斷,檢測正確率分別為

    Abstract:

    100%,、91.4%,、88.9%和76.8%。The area and wide length ratio was chosen as the characteristic parameters for different kinds of rice seeds, and a database of rice seeds type was constructed. The equivalence rectangle’s length and the least wide difference were used as standard to identify unknown rice seeds type. The disrepair of the rice seeds was identified based on the times of the black pixels change to the white pixels on one scan line and the number of scan lines. The mildew of rice seeds was identified based on the difference of area obtained by two different thresholds. Ten kinds of rice seed samples like Fengyuanyou 299 were chosen for the experiments. During the experiments, inspection of seeds type, identification of seeds in work positions, geometry parameters of seeds, mildew and disrepair situations of seeds were done respectively. The accuracy was 100%, 91.4%, 88.9% and 76.8% respectively. 

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陳兵旗,孫旭東,韓旭,劉燕德.基于機器視覺的水稻種子精選技術[J].農(nóng)業(yè)機械學報,2010,41(7):168-173. Selection Based on Machine Vision[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(7):168-173.

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