| 1. | In cbir system , the histograms of extracting characteristic and matching image are important
在cbir系统中，特征的提取和匹配算法是决定图像检索结果好坏的关键。 |
| 2. | As on the previous two albums , rasmus ' brother anders walter hansen delivered the cover art and first video , matching image to theme
和前两张专辑一样，为了使图象和主题相配，拉斯木斯的弟弟安德斯?沃尔特?汉森为该专辑奉献了封面设计和首支录影带。 |
| 3. | Based on previous research , the thesis presents a mothod which can pick up depth information through matching image corresponding points , and has getten better result
本文在分析前人工作的基础上，提出了一种匹配图像对应点提取深度信息的算法，取得较好效果。 |
| 4. | The paper researches how to derive features automatically and how to match image perceptual similarity as well as possible . first , the paper presents a novel algorithm to extract color signatures
本文主要针对这两个问题，研究如何描述图像内容，准确、自动地提取特征，以及精确地对图像内容进行相似性度量。 |
| 5. | But when there are several kinds of difference between the matching image model and the matched image , such as in lightness , zoom or in angle , the traditional matching algorithms would not be able to obtain satisfying matching results
但当匹配模板与待匹配图像之间存在亮度、缩放及角度旋转等差异时，利用传统的匹配算法所得到的匹配结果不尽如人意。 |
| 6. | In the algorithm , we look the image - matching problem as a kind of optimization problem that finds a most suitable matching point in matched image . then we use the strong global optimization capability of evolutionary computation to solve the complicated matching problem
该算法将图像匹配问题看作为寻求最优匹配点的寻优问题，然后利用进化算法的强大的全局寻优性能来对图像进行匹配。 |
| 7. | The results of the experiments show that , when there are different kinds of differences in lightness , zoom and angle between matching model and matched image , this kind of optimization algorithm based on evolutionary computation can solve the problem effectively
实验结果证明，当待匹配图像和匹配模板之间存在亮度、大小缩放和旋转角度差异的情况下，这种基于进化计算的图像匹配算法能够进行正确匹配。 |
| 8. | Aiming at this problem , we put forward an image - matching algorithm based on evolutionary algorithms . in our algorithm , we regard the image - matching problem as another kind of optimization problem that is looking for a most suitable matching point in matched image . then we use evolutionary algorithms to solve the problem effectively
本文针对这一问题，提出一种基于进化计算的图像匹配算法，该算法将图像匹配问题看成为一种寻找最优匹配点的全局寻优问题，从而采用进化计算方法来有效解决了该问题。 |
| 9. | According to principles and human perception of color , a hsl ( hue saturation light ) color space , which is perceptively consistent with human vision , is selected and divided . the similarity between two colors is re - defined in order to accord with human discernment for colors . the method of extending color histogram is presented to match images with different colors
从人类色彩感知的角度出发，研究了用于图象检索的色彩空间，特征提取和相似性度量等问题，将hsl色彩空间进行了划分，对每两种色彩之间的相似度进行了重新定义，便其更好地符合人对图象色彩的辨别能力。 |
| 10. | The thesis researches how to derive features automatically and how to match image perceptual similarity as well as possible . the main work of the thesis includes : the thesis researches the present , the future and the application of cbir , analyses the cbir system , and researches the key techniques of cbir which consist of all kinds of indexing techniques , similarity measure and performance evaluation
本文的主要工作和成果包括：研究了目前国内外cbir技术的现状、发展趋势及其应用状况，对基于内容的图象检索系统进行了分析，深入研究了图象检索中的关键技术，包括各种索引技术、相似性度量及其性能评价技术。提出了一种改进的基于区域的形状索引的图象检索方法。 |
