提出了一种新的基于颜色的图像检索算法。
In this paper, a new image retrieval algorithm based on color is proposed.
提出一种新的基于分块主色和形状特征的图像检索算法。
A new image retrieval algorithm based on the main color and shape of image blocks was presented.
针对上述两者的缺点，文中提出了一种基于用户感兴趣区域的图像检索算法。
An image retrieval algorithm based on region-of-interest is proposed in this paper aiming at covering those two shortages.
实验表明本文提出的图像颜色特征提取算法可成功应用于海量图像库检索和图像语义信息的自动提取。
Experiments show that the new algorithm proposed can be successfully used in retrieving the image from good-sized image database and extracting semantic information from image automatically.
研究基于支持向量机和粗糙集的相关反馈图像检索算法。
Relevance feedback algorithm based on support vector machine and rough set for image retrieval is approached.
论文阐述了一种基于在线学习算法的彩色图像区域增长法，用于解决基于内容的图像检索系统。
This paper presents a color images region growing method based on online learning algorithm, which is used for content-based image retrieval systems.
介绍了基于内容图像检索中多种颜色的特征提取和匹配算法，以及加权欧几里得距离、中心距的加权距离、直方图交集算法等。
Introduces color feature extraction and matching algorithms in content-based image retrieval, such as weighted Euclidean-distance, weighted centre distance, histogram intersection algorithm, etc.
实验结果表明，该算法改善了图像检索性能，同时也验证了算法的可行性和有效性。
It demonstrate that this method can improve the image retrieval performance, and also verified the feasibility and effectiveness of the algorithm.
在此基础上，详细讨论了将隐含语义索引技术应用于图像检索中的具体方法，并给出了相应的算法。
The method to LSI based image retrieval is discussed in detail, and the corresponding algorithms are given.
本文提出了基于子图像特征融合的商标图像检索算法，并对子图像特征融合准则进行了研究。
This paper puts forward the trademark image retrieval algorithm based on the subimage feature fusion, and does research on the subimage feature fusion criterions.
本文也给出相应GCSSD的匹配算法，将其应用于彩色图像花的检索，实验结果表明其性能明显优于CSSD。
A relevant matching algorithm for GCSSD is used in flower retrieval. Experimental results show that GESSD performance is obviously better than that of CSSD.
提出了一种基于交互式遗传算法的图像检索模型。
讨论了复数矩不变性的实现方法，介绍了复数矩不变性在图像检索中的应用及算法。
Complex moment invariants are discussed in detail. Application of the invariants in image retrieval and its algorithm are introduced.
在图像检索中，该算法用一种新方式提取形状特征，实现了基于该算法的图像检索操作。
In image retrieval, it gives a new method to get shape character of image, and image retrieval operation based the arithmetic was realized.
在图像检索中，该算法用一新的方式提取形状特征，实现了基于该算法的图像检索操作。
In image retrieval, the paper gives a new method to get shape character of image, and image retrieval operation based on the arithmetic is realized.
相对于直接使用灰度直方图进行图像检索，该算法具有更好的区分度。
Compared with direct use of gray histogram image retrieval, this algorithm possesses high distinguish degree.
该算法将ISODATA算法引入图像检索领域，实现了通过聚类算法来优化图像检索的目的。
By introducing ISODATA into the field of image search, this algorithm can realize the purpose of optimizing the image retrieval by the cluster algorithm.
实验表明，该算法在一定程度上克服了HSV的色调奇异性对图像检索的影响，提高了检索性能。
The experiments prove that this method can eliminate the influence on image retrieval caused by HSV hue singularity to a certain extent, and improve the retrieval performance.
提出利用最大相关最小距离将图像的纹理特征、高斯密度特征与人脸检测相结合的算法进行图像检索。
A new image retrieval method by using Max correlation min distance to combine together texture features, Gaussian density characteristics and face detection of images for image retrieval is presented.
实验证明，算法对图像的亮度变化、缩放、旋转具有不变性，有较高的检索性能。
Experimental results show that the algorithm has the robustness against illumination changes, position translation, scale and rotated image and a superior image-retrieving performance.
在分析了基于边缘的图像检索方法的缺点后，提出了一种基于显著封闭边界的图像检索新算法。
Having analyzed the drawbacks of image retrieval methods based on edges, a novel image retrieval algorithm based on salient closed boundary is presented in this paper.
本文介绍了我们设计的分别基于颜色特征和基于纹理特征的两种图像检索算法。
In this paper, our methods for image retrieval using color and texture features are first discussed.
使用区分真实照片与人工图片的算法进行图像的预分类与识别，对于提高基于内容的图像和影片检索的成功率有着较大的现实意义。
Some experiments show that in the image database, which has joined the computer graphics and the real photos together, the content-based image retrieval will lose much of its accuracy.
实验结果表明了该检索算法设计的可行性和对基于内容的图像检索准确率的提高。
Experimental results indicate that algorithm design is feasible and good for the improvement of the accuracy of the retrieving rate to content-based image.
最后，将两种新算法所提取特征点应用于图像检索，提出了一种新的基于区域特征的图像检索方法。
Finally, the two new salient point detectors are used for image retrieval and a new region-based image retrieval method is proposed.
介绍颜色相关图及其改进算法在医学图像检索中的应用，并与标准灰度直方图的检索效果做了比较。
This paper has presented an application of color-correlogram and the ameliorative algorithm for medical image retrieval.
针对领带花形图像的具体特征，研究了适用于该类图像的检索算法。
By analyzing the character of necktie pattern and studying image retrieval algorithm, an approach to content-based image retrieval for necktie pattern is proposed in this paper.
针对领带花形图像的具体特征，研究了适用于该类图像的检索算法。
By analyzing the character of necktie pattern and studying image retrieval algorithm, an approach to content-based image retrieval for necktie pattern is proposed in this paper.
应用推荐