Description: 基于内容的图像检索，博士毕业学位论文，搞这方面的可以-content-based image retrieval, Dr. graduate thesis and engage in this area can s Platform: |
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Author:cailei |
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Description: 基于内容的图像检索，博士毕业学位论文，搞这方面的可以-content-based image retrieval, Dr. graduate thesis and engage in this area can s Platform: |
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Author:cailei |
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Description: 多种基于内容的视频检索镜头分割算法matlab程序，主要是检测突变，有基于直方图的方法，基于X2直方图的方法，基于像素的方法以及基于边缘轮廓法对比！对于这一领域的研究具有很好的入门作用！也是本人毕业论文所写的！视频文件建议先分离掉声音，仅保留图像系列,文件须为mpg!-A variety of content-based video retrieval lens matlab segmentation procedures, the major mutations are detected, there is histogram-based method, based on the X2 histogram method, pixel-based methods and edge contour method based on the contrast! Research in this area for a good entry role! My thesis is written! Suggest that separation of video files sound out, retaining only the image series, have to file for mpg! Platform: |
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Author:ttt |
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Description: 开始检索”调用DoBrowse--- 功能：用于管理ListBox(1)首先取出处理的起始目录路径
(2)调用SiapCariRecursive来对目录中各文件进行处理,这里面又分好几层关系。
（a）锁定一些暂时不用的按键，使在检索处理过程中，不让用户操作，乱按。
（b）调用CariRecursive函数：功能是分别提取目录中各个文件，并进行计算颜色直方图。这个函数又分下面几层：
(i)循环递归调用CariRecursive，找到所选目录下是否有子目录，有子目录进入子目录先处理
(ii)调用ScanFile，提取子目录中的一个个文件。
(iii)上面一步中，每找到一个文件，就调用Madhosi，进行计算颜色直方图（这部分与第1大点中，对关键图处理过程一样），并与关键图的颜色直方图比较，得到相似度，最后在把相似度保存到ListBox中去，同时对应填入对应的文件路径。
(iv)循环至(i)直到目录中所有文件都处理过，才结束CauRecursive,退出该函数。
(3)根据ListBox里面的内容，调整ListBox的宽度。按相似度距离，按从小到大把各文件排列在ListBox中。-Due to the development of multimedia technology and fast expanding of visual information, an effective method is sharply needed to manage and retrieve visual information. So, the Content Based Image and Video Retrieval technology comes into being and become an important research area in multimedia retrieval and image processing.
This thesis focuses on the application of Content based image retrieval (CBIR) technology in defense information technology area. The research on this topic is of great significance in theory and practice. The main work of this thesis lies on:
This thesis makes extensive and deep research in CBIR technology. The status quo and key technologies are introduced, the bottle-neck and development trend are also discussed. The thesis analyzes the application requirement for CBIR technology in defense IT area, and proposes a reasonable application model. The experimental results show that the method is reasonably better than existing methods.
Keywords: content-base Platform: |
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Author:李明福 |
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Description: 1．分析研究了基于内容的图像检索系统的工作原理，关键技术如：纹
理、形状等图像底层特征的描述方法， 图像间的相似性度量方法，
图像库索引机制等。
2．研究了基于纹理特征的图像检索方法，并提出了一种基于NSCT 变
换的纹理特征提取方法。通过对SAR 图像及相关图像进行NSCT
分解，计算不同尺度不同方向上的系数幅度序列的均值，标准方差
和三阶中心矩，以此构成特征向量来描述图像的纹理。实验证明本
文提出的采用NSCT 算法有较好的特征提取效果，引入三阶中心矩
作为特征向量优于只使用均值和方差的组合特征，提高了图像检索
的查准率。
3．研究了基于形状特征的图像检索方法，并提出一种基于NSCT变换
的形状特征提取方法。把改进型Canny算子和NSCT变换相结合，先
对SAR图像及相关图像运用改进型Canny算子提取边缘，在此基础
上再进行NSCT变换，把图像的形状信息分解到不同尺度不同方向
上，从而保留各个频率分量，减少了图像形状信息的丢失。-1. First we analyze and study the principle of image retrieval system and
key techniques and algorithms of CBIR, such as the low-level feature
descriptions including texture, shape, the similarity measure between
images, the indexing methods and so on
2. Researching on the texture-based image retrieval algorithm, we
propose an algorithm of texture feature extraction based on the
Nonsubsampled Contourlet transform in this thesis. The image is
decomposed by the Nonsubsampled Contourlet transform. The mean,
standard deviation and third central moment of the magnitude of the
Nonsubsampled Contourlet coefficients at different scales and directions
are computed to extract the texture feature vector.Experiment proves the
third central moment added in NSCT arithmetic is overperformded than
only use the mean and standard deviation, and precision ratio has
improved.
3. Researching on the shape-based image retrieval algorithm, we propose
an algorithm of shape feature extraction bas Platform: |
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Author:周二牛 |
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Search - in this thesis image retrieval