针对传统的畸变图像校正方法，其所建立的畸变数学模型，不仅求解畸变参数复杂、计算量大，且存在很大的数值计算误差的问题，提出了一种基于神经网络的畸变图像校正方法。

According to the graphic distortion of the laser galvanom, a kind of conic calibration model was put forward based on post-validation of geometry distortion caused by the imaging system.

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As a consequence, there's a lot of variability and error in these dietary measurements.

结果就是,饮食测评中会有很多变数,和误差

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