The article makes the academic researches on the acquisition and retrieval of low-level contour characteristic, based on which a pithiness、effective、practical image retrieval system is developed.
本文主要对图像底层的轮廓特征及高层语义的提取和检索展开详细的研究，并在此基础上给出了一个简洁、高效、实用的图像检索系统。
参考来源 - 基于内容的图像检索中若干问题的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The descriptive method of local contour sequence (LCS) is introduced and improved. A method of matching and tracking based on the characteristic of image edge is presented.
介绍了目标轮廓lcs描述，并对其进行改进，建立了基于目标轮廓的特征匹配跟踪方法。
As for contour tracking, a contour tracking method based on characteristic code and retrospecting mechanism is present, which can track cell edge with short branch, so as to enhance its robustness.
在细胞轮廓提取方面，提出了一种基于特征编码和回溯机制的轮廓跟踪算法，能够正确跟踪具有短枝干扰的细胞边界，增强了细胞提取的可靠性。
Aiming at the distribution characteristic of pixel gray level in tested data, this paper proposes a valid and reliable searching and tracking policy for the object contour.
针对实验数据像素灰度的分布特点，提出了一种对目标轮廓线进行有效和可靠的搜索和跟踪策略。
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