Description: 基于内容的图像检索技术是十分重要的，请认真的学习和研究，研究好了有帮助。-Content-based image retrieval technology is very important, please carefully study and research, better research help. Platform: |
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Author:yujianjianjian |
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Description: 本源码是用C++编写的基于内容的图像检索，采用形状、颜色、纹理三个特征的加权值作为特征向量。-The source code is written in c++ of content-based image retrieval, the shape, color, texture three characteristics of the weighted value as the characteristic vector. Platform: |
Size: 3522560 |
Author:jack |
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Description: 傅立叶描述子是分析和识别物体形状的重要方法之一．利用基于曲线多边形近似的连续傅立叶变换方法 计算傅立叶描述子，并通过形状的主方向消除边界起始点相位影响的方法，定义了新的具有旋转、平移和尺度不变 性的归一化傅立叶描述子．与使用离散傅立叶变换和模归一化的传统傅立叶描述子相比，新的归一化傅立叶描述 子同时保留了模与相位特性，因此能够更好地识别物体的形状．实验表明这种新的归一化傅立叶描述子比传统的 傅立叶描述子能够更加高效、准确地识别物体的形状．-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. Platform: |
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Author:劳世华 |
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Description: 实现了基于内容的图像检索，基于颜色直方图和边缘直方图-Realize the content-based image retrieval, based on color histogram and edge histogram Platform: |
Size: 603136 |
Author:水影 |
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Description: 这是一个基于内容的图像检索小系系统，里面有测试图像。
-This is a content-based image retrieval the Koito system, there are test images. Platform: |
Size: 2057216 |
Author:anticipate |
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Description: 收集的几篇关于基于内容图像检索中提取感兴趣区域特征的文章-Collected several articles on content-based image retrieval to extract the region of interest features Platform: |
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Author:周晓 |
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Description: 几篇比较重要的基于内容图像检索论文，系统介绍CBIR技术-CBIR technology content-based image retrieval papers, the system introduces a few more important Platform: |
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Author:周晓 |
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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. Platform: |
Size: 2366464 |
Author:Chandana |
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Description: 介绍了基于内容图像检索（)& 9）技术的研究现状，对图像的检索方法进行了分析，并对图像检索可能涉及到
的主要问题进行了讨论。-() & 9) Technical Research content-based image retrieval, image retrieval method analysis and image retrieval may be related to the main issues discussed. Platform: |
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Author:罗朝辉 |
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Description: 该程序实现了基于内容的图像检索系统，包含多种检索算法，检索准确率较高。-The program implements the content based image retrieval system, contains a variety of retrieval algorithm, high retrieval rate. Platform: |
Size: 2064384 |
Author:chengbo |
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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. Platform: |
Size: 4096 |
Author:zainab |
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Search - content based image retrieval