论文评语 - 论文 关键词：内容，搜索引擎，特征提取，对比算法，二值化图片 关键词 [gap=1513]Keywords: content, search engine, feature extraction, comparing algorithm, binary images
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Comparing with the general algorithm, it has obvious advantage in computing time, memory room and graphical display effect.
与通用算法比较，计算时间、存储空间的开支和图形显示效果方面都有较好的改进。
Furthermore, the condition of the faster convergence of the proposed algorithm comparing with the conventional gradient descent algorithm with momentum term is derived.
进而给出了在梯度一定的条件下，所提出的算法比传统的带动量的梯度法收敛快的条件。
Tests comparing the new algorithm to four famous algorithms were given.
给出了本算法与四种著名拐点检测算法的对比实验。
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