Question

帮忙翻译一段文字（汉到英）

首先本论文主要回顾了目前国内外 CBIR 技术的现状、发展趋势及其应用状况，接着描述图像内容,介绍特征提取,以及精确地对图像内容进行相似性度量的方法，然后对基于内容的图像检索系统进行了分析，深入研究了图像检索中的关键技术,分析了基于形状特征的图像检索技术研究现状和局限性。
其次，最主要的部分是基于选取图像的区域特征描述图像的形状。计算区域描述特征需要分为以下三步：1）得到用于计算区域描述特征的区域形状；2）计算这些区域形状的度量值；3）计算区域描述特征。之后将提取出来的六个特征向量进行归一化处理。
最后是图像检索算法的实现，即计算输入图像与数据库中图像特征向量的欧式距离，进行相似度度量，并通过图像显示模块将检索结果以相似度大小顺序排列输出给用户。
为了实现对图像数据库的有效管理和检索，我们利用 Microsoft Visual C++6.0，结合Access数据库，实现了一个基于形状特征的图像检索系统。该系统由查询模块、特征提取和描述模块、图像显示模块和图像库管理模块组成。该系统结合了实际植物叶片图像库进行查询和检索实验，文中给出一些实际的检索结果。

Answer 1

First of all the major papers reviewed the current status quo at home and abroad CBIR technology, development trends and their application status, and then describe image content on feature extraction, and the precise content of the image similar to the method of measurement, and then the content-based image retrieval system An analysis of in-depth study of the image retrieval of key technologies, based on analysis of the shape of the image retrieval technology research and the limitations of the status quo.
Second, the most important part of the image is based on selected regional characteristics describe the shape of images. Calculation of regional characteristics described divided into the following three steps need to: 1) be used to calculate the regional characteristics of the region described shape, 2) calculating the shape of the regional money, 3) calculation described characteristics of the region. Will be extracted after the six feature vector for normalized.
Finally, there is the realization of image retrieval algorithms, and the calculation of input images in the database features of vector images from the Continental, a similarity measure, and through image display module will search results to the size order of similarity output to the user.
In order to achieve the image database of effective management and retrieval, we use Microsoft Visual C + +6.0, with Access database, to achieve a shape based on characteristics of the image retrieval system. The system consists of query module, feature extraction and description of modules, image display modules and image database management module. The system combines a real plant leaves the image query and retrieval of experiments in this paper some of the actual search results.

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