Description: VC++源代码,难得的图像搜索算法,可以很好的用于基于内容的图像检索中-VC++ source code, a rare image search algorithm can be very good for Content-Based Image Retrieval Platform: |
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Author:趁两 |
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Description: 图像检索中基于元数据的特征提取方法的博士学位论文,对研究基于内容的图像检索技术的人员有益!-Image Retrieval Based on the characteristics of meta-data extraction method of a doctorate thesis on the study content-based image retrieval technology staff useful! Platform: |
Size: 6473728 |
Author:田巾 |
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Description: 该课件主要陈述了基于内容的图象检索技术的由来,主要的处理技术和未来的发展方向。另外该课件为英文课件,有兴趣的可以下来看下!-The main statement of the courseware content-based image retrieval technology, the origin, the main treatment technologies and the future direction of development. In addition to the courseware courseware in English, interested can facie down! Platform: |
Size: 1184768 |
Author:aurora |
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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: |
Size: 5671936 |
Author:李明福 |
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Description: 状是含有高层语义信息的视觉特征,在基于内容的图像检索及图像识别中具有重要的应用价值。有很多种描述子可以描述图像的形状特征,傅立叶描述子可以把二维的图像轮廓信息简化成一维问题进行处理,应用非常广泛。然而自然图像的形状特征通常是杂乱的,有噪声的,提出了一种图像预处理方法,得到净化的形状图像,通过实验研究傅立叶描述子算法提取形状特征的效果。-Abstract Shape is a visual feature which contains intrinsic high-level semantics, and has a great application value in CBIR(Content-Based Image Retrieval) and IR(Image Recognition). There are many descriptors for shape feature. Fourier descriptor predigests 2-demensional image information to 1-demensional signal and be used widely. In fact, the shape of natural image is often messy and noisy. So, this paper proposes a preprocessing method which can clean the noisy shape image, and then researches and analyses the shape feature extraction with Fourier descriptor method with an experiment.
Keywords Shape, Fourier Descriptor, Feature Extraction, CBIR(Content-Based Image R
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Author:倪晓雷 |
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Description: 使用Weka分析环境开发的基于Java的图像分割及基于内容检索程序,分割采用最小生成树分割法,检索利用的是小波和共生矩阵提取的特征。-Analysis using the Weka environment for the development of Java-based content-based image segmentation and retrieval procedures, division of segmentation using minimum spanning tree, retrieval using wavelet and the extraction of the characteristics of co-occurrence matrix. Platform: |
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Author:张沛轩 |
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Description: 基于图像检索的matlab代码,基于内容的图像检索中的一些关键环节:特征提取:颜色直方图;纹理特征等 相似度:马氏距离,欧氏距离等 相关反馈:机器学习方法,如SVM,神经网络等 检索与分类:两个很相似的样本距离很小,虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 164864 |
Author:EmilyFu |
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Description: Image retri techniques are useful in many image-processing applications. Content-based image retri systems work with whole images and searching is based on comparison of the query. General techniques for image retri are color, texture and shape. These techniques are applied to get an image the image . They are not concerned with the various resolutions of the images, size and spatial color distribution. Hence all these methods are not appropriate to the art image retri . Moreover shape based retri s are useful only in the limited domain. The content and metadata based system gives images using an effective image retri technique. Many other image retri systems use global features like color, shape and texture. But the prior results say there are too many false positives while using those global features to search for similar images. Hence we give the new view of image retri system using both content and metadata -Image retri techniques are useful in many image-processing applications. Content-based image retri systems work with whole images and searching is based on comparison of the query. General techniques for image retri are color, texture and shape. These techniques are applied to get an image the image . They are not concerned with the various resolutions of the images, size and spatial color distribution. Hence all these methods are not appropriate to the art image retri . Moreover shape based retri s are useful only in the limited domain. The content and metadata based system gives images using an effective image retri technique. Many other image retri systems use global features like color, shape and texture. But the prior results say there are too many false positives while using those global features to search for similar images. Hence we give the new view of image retri system using both content and metadata Platform: |
Size: 39936 |
Author:kilo |
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Description: 基于内容的图像查询,采用卷积神经网络,CNN代码使用了matconvnet工具包,包括代码和实验报告。(Content based image query, using convolutional neural networks, CNN code, using the matconvnet toolkit, including code and experimental reports.) Platform: |
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Author:张小凡
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