搜索资源列表
image_texture_analysis
- 用Visual C++开发图像的纹理分析软件,能自动提取图像的纹理特征,用于基于内容的图像检索.
ImageRetrieval
- 用c++编写的基于内容的图像检索源代码。
CBIR
- c++实现的基于内容的图像检索，支持bmp格式的图像，按相似度排序。-c implementation of content-based image retrieval, supports bmp format images, sorted by similarity.
Tamura
- 该代码为用tamura算法提取图像的纹理特征，包括粗糙度、对比度等，可用于基于内容的图像检索系统-The code for the algorithm used tamura extracted texture features, including roughness, contrast, etc., can be used for content-based image retrieval system
CBIR
- 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.
VC
- 基于内容的图像检索系统VC++源代码 能够运行-Content-Based Image Retrieval System VC++ source code can run
CBIR
- 用VC实现了基于内容的图像检索，支持基于颜色与纹理的检索。-Implement the CBIR by Visual C++,support methods based on color and texture.
retrieval
- 这是一个基于内容的图像检索小系统，里面有测试图像。-This is a content-based image retrieval small systems, which has test image.
20100318ImageSearch
- 用visual C++ 编写的基于内容的图像检索系统，主要是通过颜色直方图和欧式距离的-Using visual C++ written in content-based image retrieval system, primarily through color histogram and the Euclidean distance of the
EdgeandColorImageRetrievalTechnology
- 该功能具有图像检索功能，基于内容图像检索系统，运用c++与matlab的结合，各取所长，开发成为满意的软件。-This feature has the image retrieval, content-based image retrieval system using c++ and matlab combination of different advantages, development of a satisfactory software.
matlab
- 基于图像内容检索的模糊c均值聚类，在matalb中的实现-Realization of fuzzy c-means clustering, based on image content retrieval in matalb
retrieval
- 基于内容的数字图像检索技术研究 C++代码-Content-based digital image retrieval techniques the study C++ code
CBIR
- 基于内容的图像检索，用C++实现以图搜图的功能。-Content-based image retrieval, using C++ to achieve a map search function graph.
myContent-based-image-retrieval
- 基于内容的图像检索，颜色直方图的图像检索开发工具：Visual C++6.0 开发内容：MFC基于对话框的图像检索系统 -Content-based image retrieval, color histogram image retrieval development tools: Visual C++6.0 Development of content: MFC dialog-based image retrieval system