此文改全局匹配为邻域匹配和分类匹配，从二条途径探讨了缩短匹配时间的方法。

We focus on the reducing search time of block matching procedure by replacing full search matching with matching in the neighbourhood and matching based on classification of image block.

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已有的图像匹配算法虽然具有匹配精度高的优点，但由于计算量大，匹配时间较长。

Traditional image matching algorithm has the advantage of high matching precision, but large computation increase the matching time.

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现金建立在市场天时间，当然，界定与事后但预计顶端日期和增益的数字是合乎逻辑的发展趋势的匹配时间概念。

The cash build up duration in market days are, of course, defined with hindsight but the projected top date and gain figures are the logical consequence of the of the Matched Trend Time concept.

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