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基于機器視覺和信息融合的鄰接蘋果分割算
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Adjoined Apples Based on Machine Vision and Information Fusion
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    摘要:

    提出了利用亮度和顏色的信息融合來分割鄰接蘋果的方法,。首先使用Lab模型對蘋果圖像進行分割,，然后計算分割后每個區(qū)域的面積,，并判斷其是否為鄰接蘋果區(qū)域,。接著在鄰接區(qū)域內(nèi)計算亮度信息,，利用亮度產(chǎn)生的亮斑對鄰接蘋果進行分割,。這樣,，在鄰接區(qū)域以外的部分,，亮度信息產(chǎn)生的噪聲被Lab模型的信息屏蔽,，而鄰接區(qū)域以內(nèi)的部分,，具有惟一性的亮度信息可以較好分割經(jīng)Lab模型處理后的鄰接蘋果。實驗表明,，此算法對鄰接蘋果識別非常有效,，識別率大于92.89%，而且算法簡單快速,，平均每幅圖片識別時間小于

    Abstract:

    0.5s,。A method using intensity and color information for separating adjoined apples was proposed. First, Lab model was employed to segment the apple images, followed by each segmented area was calculated to judge whether they were adjoined area or not. Then the intensity information was added to the adjoined area, and the light spot of apple was used to separate the adjoined apples. Thus, the noise from intensity information was screened by the Lab information in the area besides adjoined apples, and the adjoined apples was segmented using the unique intensity information in the adjoined area. The result of segmentation showed that the success rate is over 92.89%. It is useful to use the algorithm in practical recognition of apple fruits.

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張亞靜,李民贊,劉剛,喬軍.基于機器視覺和信息融合的鄰接蘋果分割算[J].農(nóng)業(yè)機械學報,2009,40(11):180-183. Adjoined Apples Based on Machine Vision and Information Fusion[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(11):180-183.

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