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Description: this document about CBIR
Reflectance-based Classification of Color Edges
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Size: 205824 |
Author: shareef |
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Description: this document about cmparison methos in CBIR
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Size: 2437120 |
Author: shareef |
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Description: this document about all method in color CBIR
GCH color monent correlogram and other
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Size: 923648 |
Author: shareef |
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Description: this document about color moment method for
CBIR color methods
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Size: 396288 |
Author: shareef |
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Description: 基于内容图像检索源代码 用java编写 基于颜色和纹理的图像检索-Content一based Image Retrieval source code
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Size: 2048 |
Author: 邵天日 |
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Description: cbir intoduction for colour and texture matching
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Size: 284672 |
Author: bhavlee |
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Description: About CBIR in Image Processing
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Size: 942080 |
Author: venisha |
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Description: about cbir with shape features
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Size: 38912 |
Author: venisha |
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Description: CBIR系统中采用的tamura纹理特征计算程序-Tamura texture features used in CBIR system calculation program
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Size: 2048 |
Author: 蒲金霞 |
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Description: Here i am attaching the UML Diagrams of Content based image retrival which cn be help for the developing the project documentation.
It consits of 6 types of different uml diagrams like Usecase,class,sequence,colloboration,and activity so enjoy.........
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Size: 80896 |
Author: santosh |
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Description: tamura features for image classificaion or CBIR
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Size: 703488 |
Author: tarun |
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Description: CBIR-Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is an
image of a text line, and the output is the name of the font used when printing
the text. After pre-processing and segmentation of the input image, a local
approach is used, where features are calculated for individual characters. The
method is based on eigenimages calculated from edge fi ltered character images,
which enables compact feature vectors that can be computed rapidly. A system
for visualizing the entire font database is also proposed. Applying geometry
preserving linear- and non-linear manifold learning methods, the structure of
the high-dimensional feature space is mapped to a two-dimensional representatn,which can be reorganized into a grid-based display.
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Size: 2366464 |
Author: Chandana |
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Description: 实现了一个基于颜色、纹理、形状综合特征的MatlabGUI图像检索系统。-Bulit an image retrieval system based on which combines these three features and realizes user-defined weights.
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Size: 1613824 |
Author: 井涛 |
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Description: Cbir, color, texture, edge
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Size: 157696 |
Author: gakonstupid |
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Description: CBIR on java code.you must downloand java,so after use it
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Size: 1598464 |
Author: hishgee |
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Description: cbirIn this paper, we present a new framework for effective content-based image retrieval (CBIR) using rectangular segmentation. In image segmentation, speed is more important than accuracy in CBIR. We propose a new rectangular approximate image segmentation to solve the problem. We also develop a significance function to reflect the importance of different position in image, and improve the segmentation and retrieval performance. Finally, we present a similarity measure between images with multi-objects. Experimental results show that the proposed method is more efficient and achieves higher precision on image retrieval of a large dataset.
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Size: 4096 |
Author: zainab |
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Description: 基于颜色的图像检测系统，cbir 类似与google image 里面的功能-failed to translate
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Size: 379904 |
Author: 番茄 |
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Description: 基于内容的图像检索（Content-based Image Retrieval，简称CBIR）技术被提出。这一技术的出现提高了图像检索的准确性，它通过提取图像本身的内在客观特征如颜色、纹理、形状、布局等关系，并比较这些视觉特征间的相似性，自动搜索出符合用户要求的图像。-Content-based image retrieval (Content-based Image Retrieval, referred to as CBIR) techniques have been proposed. The emergence of this technology to improve the accuracy of the image retrieval, intrinsic objective characteristics by extracting an image itself such as color, texture, shape, layout relations, and compare the similarity between the visual characteristics, automatically searched out in accordance with the user requirements images.
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Size: 2048 |
Author: 周佳森 |
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Description: 基于内容的图像检索 基于颜色、纹理、形状的图像检索
基于区域的图像检索
基于语义的图像检索
相关反馈
-Based on the content-based image retrieval based on color, texture, shape-based image retrieval region-based image retrieval based on semantic image retrieval relevance feedback
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Size: 5519360 |
Author: liuyi |
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Description: 基于内容的图像检索，检索方法的相关程序，图像检索输出检索图片-Content-based Image Retrieval
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Size: 343040 |
Author: 何亚新 |
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