搜索资源列表
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- 一种基于HSV颜色空间的图像检索技术 随着大规模数字图像库的出现，基于内容的图像检索技术（CBIR）应运而生。而颜色特征是在图像检索中应用最为广泛的视觉特征，因此设计并实现一个基于颜色的图像检索系统具有一定的前沿性和实用性-an HSV color space-based image retrieval technology with the massive digital image library there. Content-Based Image Retrieval (CBIR) c
CBIR_OpenCV
- This CBIR using OpenCV. Color information ONLY.
color_and_texture_descriptors
- Very good article about color and texture descr iptions for CBIR.
3.1.Color_Image_Processing
- On the CBIR of Color Images.
imageproV4.0
- CBIR，C#写的基于内容的图片检索系统，具有纹理直方图以及彩色栅格功能/-CBIR, C# to write content-based image retrieval system with texture and color histogram grid functions /
CBIR-based-color-cooccurrence-matrix
- 基于色彩共生矩阵的CBIR方法杨振亚 杨振东 -the methods for CBIR is based on color co-occurrence m atrix
CBIR-Color-His
- This file contains a summary of what you will find in each of the files that make up your Graphic2 application.
QuyCao_CBIR
- Cbir, color, texture, edge
zhifangtujiansuo
- 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. T
CBIR
- 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
CBIR
- 图像检索源代码，支持检索图像的格式为BMP，方法为基于颜色和边缘信息。-Image retrieval source code, supports the retrieval of image format as BMP, methods based on color and edge information.
CBIR-HIST
- 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。-This paper focuses on today' s mos
Scalable-Indexing-Schemes-of-Color-Image-Archives
- 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(Ener
CBIR
- 基于颜色的图像检索 简单易懂 而且有说明 程序操作起来较为简单-Color-based image retrieval is simple to understand and explain the program to operate with relatively simple
CBIR
- 综合多个特征的图像检索，包括颜色、形状和纹理等-Integrated multiple features for image retrieval, including color, shape and texture
colourhistogram
- Colourhistogram II. TEXTURE FEATURE EXTRACTION IN CBIR An overview of the proposed CBIR system is illustrated in Fig. 1. The proposed algorithm, Label Wavelet Transform (LWT), is based on color image segmentation [1], and it is an extens
jiansuomain.m
- cbir，用颜色直方图来作为特征实行基于内容的图像检索-cbir color discr iptors
FINAL_CBIR_1187556
- CBIR project using shape moment color
0alaya-cheikh2004
- 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
CBIR
- 一个简单的图片检索系统,包含可视化界面，可以实现灰度化和基于颜色特征的检索(A simple image retrieval system, including visual interface, you can achieve grayscale and color based feature retrieval)