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Description: Image indexing by Shape and Color.
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Size: 61861 |
Author: Ian |
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Description: 将真彩色图像转为索引图像，压缩很有用的图像，希望大家喜欢！-true color image to image indexing, compression useful images, hope you like them!
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Size: 96220 |
Author: 周鹏 |
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Description: Image indexing by Shape and Color.
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Size: 61440 |
Author: Ian |
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Description: 将真彩色图像转为索引图像，压缩很有用的图像，希望大家喜欢！-true color image to image indexing, compression useful images, hope you like them!
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Size: 96256 |
Author: 周鹏 |
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Description: 用源彩色图像索引方法对图像进行颜色重建，通过一幅相近的彩色图像即可对灰度图像进行上色-With the source color image indexing method of color image reconstruction, the adoption of a similar color images to grayscale images of color
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Size: 965632 |
Author: gyp |
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Description: 图像处理例程的Visual C++工程在ImageProcessing目录下(本例程仅仅考
虑真彩和灰度图像，对256色索引图像没有考虑)。-Image processing routines of the Visual C++ Works ImageProcessing directory (this routine only consider the true color and grayscale images, indexing images of 256 colors does not take).
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Size: 1200128 |
Author: ylsong |
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Description: 1、CAD颜色索引（1～255）与颜色值对应表。
2、颜色值相反。
3、索引转换为颜色值。
4、颜色值转换为索引。
-1, CAD color indexing (1 ~ 255) and the color value of the corresponding table. 2, the color values. 3, the index is converted to color values. 4, converted to indexed color value.
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Size: 1024 |
Author: 王东瑞 |
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Description: 随着多媒体、网络技术的迅速发展，图像信息的应用日益广泛，对规模越来越大的图像数据库、可视信息进行有效的管理成为迫切需要解决的问题，灵活、高效、准确的图像检索策略是解决这一问题的关键技术之一。因此，基于内容的图像检索已成为国内外学者研究的主要热点问题，并取得了不少的成果。
本文主要对当今热门的基于内容的图像检索技术进行了研究，重点对它的算法进行研究。在半年的时间里，通过查阅很多相关的资料，并认真学习了基于内容的图像检索的基本理论，特别是深入研究了颜色直方图理论和累加直方图算法，最后在MATLAB平台下编程实现此系统，该系统可以实现基本图像检索的功能，根据用户输入的样本图像来与图像库中的图像进行特征匹配，然后找出与样本图像距离比较小的若干幅图像，并按照图像之间的距离由小到大的顺序显示给用户。
经过对该系统进行反复的调试运行后，该系统所实现的功能基本达到了设计目标，并且运行良好。当用户提供出所要查询的关键图后，系统就可以从用户提供的图像库中检索到与关键图相似的图片并排序返回给用户，达到了预期效果。
-With the rapid development of the multimedia and the network technology, the image information becomes more widely available, increasing the size of the image database, visual information for effective management of an urgent need to address the problem, flexible, efficient and accurate image retrieval strategy solve this problem one of the key technologies. The researchers are so keen on Content-Based Image Retrieval that they have made much progress.
In this paper, today s popular content-based image retrieval technology is analyzed. And it mainly focuses on the research of its algorithm. In a period of half a year, Through access to relevant information and to seriously study the content-based image retrieval of the basic theory, in particular, in-depth study of the color histogram theory and cumulative histogram algorithm. Finally, this system should be implemented under the platform of the MATLAB by programming. In this system, the basic image retrieval functions can be achieved.
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Size: 380928 |
Author: qichao |
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Description: The indexing of an image database is often referred as feature extraction. Mathematically,
a feature is an n-dimensional vector, with its components computed by some image analysis.
The most commonly used visual cues are color, texture, shape, spatial information, and motion
in video. For example, a feature may represent the color information in an image
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Size: 1445888 |
Author: rach |
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Description: quantized color in the query is used as a separate cue to find
matches containing that color. The matches from all the query
colors are then joined to obtain the final retrievals. Experimental
results show that the proposed scheme is fast and accurate com-
entries containing each “color keyword” are found and the final
results are the join of these matches.
A similar idea to this color indexing scheme is also described
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Size: 2048 |
Author: rach |
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Description: 提出了一种有效用于抽取特征、索引和检索彩色图像的技术途径. 通过提取图像的颜色不变量, 建立相应
的色度直方图(hue h istogram) 来表示图像的颜色分布特征. 为了描述图像中对象的位置及方向特征, 首先计算图像的色度轮廓并对其进行Radon 变换, 然后计算相应的“空间直方图”.-Proposes an effective feature for the extraction, indexing and retrieval of color images of the technical ways. By extracting the image color is not a variable, set up a corresponding color histogram (hue h istogram) to represent the color distribution of the image. In order to describe the image the location and orientation of objects characteristic of the first calculation of the image color profile and gain Radon transform, and then calculates the corresponding " space histogram."
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Size: 621568 |
Author: 史习云 |
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Description: This paper proposes the use of a vector of color histogram
peaks a n efficient and effective way for many image indexing
problems. It shows that histogram peaks are more stable than
general histogram bins when there are variation of scale and/or scale.
We also introduce the structure of a room recognition system which
applies this indexing technique to omni-directional images of rooms.
Experimental results shows that using only peaks leads to significantly
less time and storage demands an still provides recognition
rates across a database of hundreds of rooms.-This paper proposes the use of a vector of color histogram
peaks as an efficient and effective way for many image indexing
problems. It shows that histogram peaks are more stable than
general histogram bins when there are variation of scale and/or scale.
We also introduce the structure of a room recognition system which
applies this indexing technique to omni-directional images of rooms.
Experimental results shows that using only peaks leads to significantly
less time and storage demands an still provides recognition
rates across a database of hundreds of rooms.
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Size: 423936 |
Author: zlq |
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Description: 将图像减色至256级灰度，使用索引算法。-Subtractive color image to 256 gray levels, the use of indexing algorithm.
Platform: |
Size: 7168 |
Author: steve |
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Description: 关于色彩检索的文章，提出了直方图相交法，很有用的可以参考-Retrieve articles on color, histogram intersection method proposed, can be useful reference
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Size: 1632256 |
Author: 杨娴 |
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Description: Background of Content Based Image Retrieval(CBIR)
Analysis of Previous Work
Results of Existing Methods
Scalable Image Indexing and Retrieval
Proposed Indexing System(overview)
wavelet transform and HSL color conversion
Feature Space(Energy and Color)
Image Key Generation
Scalable Database Structure
Steps Involved in the Indexing Process
Experimental Results
Conclusions and Future Work
Counter Examples
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Size: 1363968 |
Author: fia4joy |
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Description: Image Indexing Using Color Correlogram
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Size: 185344 |
Author: aram |
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Description: Query by content, or content-based retri has recently been proposed as
an alternative to text-based retri for media such as images, video and audio.
Text-based retri is no longer appropriate for indexing such media, for several
reasons. Firstly, keyword annotation is labor intensive, and it is not even possible
when large sets of images are to be indexed. Secondly, these annotations are
drawn a predefined set of keywords which cannot cover all possible concepts
images may represent. Finally, keywords assignment is subjective to the person
making it. Therefore, content-based image retri (CBIR) systems propose to
index the media documents based on features extracted their content rather
than by textual annotations. For still images, these features can be color, shape,
texture, objects layout, edge direction, etc.-Query by content, or content-based retri has recently been proposed as
an alternative to text-based retri for media such as images, video and audio.
Text-based retri is no longer appropriate for indexing such media, for several
reasons. Firstly, keyword annotation is labor intensive, and it is not even possible
when large sets of images are to be indexed. Secondly, these annotations are
drawn a predefined set of keywords which cannot cover all possible concepts
images may represent. Finally, keywords assignment is subjective to the person
making it. Therefore, content-based image retri (CBIR) systems propose to
index the media documents based on features extracted their content rather
than by textual annotations. For still images, these features can be color, shape,
texture, objects layout, edge direction, etc.
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Size: 2715648 |
Author: silkan_h |
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