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基于LBM的蘋果采摘機器人視覺圖像自動修復(fù)算法
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Automatic Image Inpainting Algorithm for Apple Harvesting Robot’s Vision System Based on LBM
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    摘要:

    為恢復(fù)被果樹枝葉遮擋后丟失的信息,,首先通過計算遮擋因子,,確定果樹枝葉對蘋果的遮擋區(qū)域;然后,,利用格子波爾茲曼方法求解各向異性擴散方程,,估計丟失的信息,提出了基于格子波爾茲曼方法的圖像修復(fù)算法,。實驗證明,,該算法能夠有效實現(xiàn)蘋果圖像中枝葉遮擋部分的修復(fù)。與基于曲率驅(qū)動擴散的圖像修復(fù)算法相比,,該算法具有較高的峰值信噪比,。由于算法的高度并行性,可以將其用于構(gòu)建并行圖像處理系統(tǒng),并且適合蘋果采摘機器人視覺系統(tǒng),。

    Abstract:

    With the aim to recover the lost information of the apple harvesting robot’s vision caused by the branches and leaves, an automatic image inpainting algorithm was proposed. By calculating the so called blocked factor, the area blocked by the branches and leaves was confirmed at first. And then, a Lattice Boltzmann method based on image inpainting algorithm (LBMII) was used to recover the lost information. The examination results show that the LBMII can recover the apple image effectively, and has higher PNSR than the algorithm based on the curvature-driven diffusions. More over, the parallism of the LBMII can be used to build the high speed parallel image processing system for apple harvesting robot. 

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陳玉,趙德安.基于LBM的蘋果采摘機器人視覺圖像自動修復(fù)算法[J].農(nóng)業(yè)機械學(xué)報,2010,41(11):153-157. Automatic Image Inpainting Algorithm for Apple Harvesting Robot’s Vision System Based on LBM[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(11):153-157.

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