算法还将相关匹配与伺服系统的控制特性结合起来进行考虑，更加合理地选择匹配区域，从而允许更快的伺服控制速度。

The algorithm also combines correlation matching with the control characteristic of servo system, selects the matching area more reasonably, and thus enables a faster servo control speed.

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针对复杂背景及目标的分形特性差异，提取图像四个方向的灰度梯度，选择最小梯度大于阈值的区域进行平滑滤波，最后对分维参数进行分段线性拉伸。

Aiming at characteristic differences of background and target, four-direction gradient is extracted out and areas with large gradient are smoothed by a linear threshold filter.

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其次，本文研究了区域形状特征提取及基于PCA的特征选择方法，通过对区域特征进行优化选择，构造准确描述目标特性且维数较低的特征。

Secondly, the method of region feature extraction and optimal feature selection are studied based on PCA, and the effective features are constructed for the target by the analysis of the PCA.

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