The tree image mosaicing was analyzed by template extraction and featured matching point searching. The template was obtained through tree image segmentation, image grey processing and image gradient processing. Then the matching featured point was searched and determined by similarity measure evaluation. With the relationship between template radius and the success rate of mosaicing, the relationship between template radius and the mosaicing of time, the success rate of 94.9% and 174ms each time were achieved. A tree image real time mosaicing was provided for expanding the field-of-view in precision pesticide target-oriented-spraying technique.
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周博,郑加强,周宏平.树木图像拼接系统特征点匹配[J].农业机械学报,2010,41(10):195-198. Mosaicing System Based on Featured Area Matching[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(10):195-198.