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蘋果圖像的背景分割與目標提取
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“十二五”國家科技支撐計劃資助項目(2011BAD20B12)


Background Segmentation and Object Extraction of Apples Images
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    水果的缺陷、大小和顏色差異以及光照等因素影響圖像背景分割與目標提取精度。以蘋果為研究對象,針對4種不同光照強度條件下采集的280幅不同姿態(tài)的蘋果圖像,將彩色圖像的R、G、B分量進行算術(shù)運算,然后采用形態(tài)學(xué)開運算進行消噪處理,采用線性空間濾波消除鋸齒狀邊界,采用自動閾值分割方法進行背景分割與目標提取。結(jié)果顯示,203幅圖像的分割偏差小于1%,占總量的72.5%;70幅圖像的分割偏差大于1%而小于2%,占總量的25%;偏差大于2%的有7幅,占總量的2.5%。最大分割偏差為2.83%。

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    The defects, size, color of fruit and the lighting influence the accuracy of segmentation. In order to improve the segmentation accuracy, a combinational method was presented based on apple images processing. The R, G, B components were calculated by arithmetic operations at first. Then the arithmetic result was processed for noise cancellation by morphological opening and for smooth boundary by linear spatial filtering. After these operations, the automatic threshold method was used for background segmentation. This combinational method shows good performance to process 280 images of apples with different attitudes, size, color and defects. And these images were gained in 4 types of illumination conditions. The segmentation deviations of 203 images which are 72.5% of total images are less than 1%. The segmentation deviations of 70 images which are 25% of total images are larger than 1% but less than 2%. Only 7 images’ deviations are larger than 2%, and the maximum segmentation deviation is 2.83%.

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王福杰,饒秀勤,應(yīng)義斌.蘋果圖像的背景分割與目標提取[J].農(nóng)業(yè)機械學(xué)報,2013,44(1):196-199,210. Wang Fujie, Rao Xiuqin, Ying Yibin. Background Segmentation and Object Extraction of Apples Images[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(1):196-199,210.

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  • 在線發(fā)布日期: 2012-12-31
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