搜索资源列表
MyCBIR_Source
- 基于内用的图像检索，可以在vc和vs下运行-CBIR,Could run on visual c++ and visual studio
CBIR-matlab
- 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.
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.
CBIR
- 论文《A Stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization》的代码-the code of <A Stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization&g
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.
CBIR-03
- 基于视觉特征的图像检索技术研究，这是关于图像检索方面研究比较好的论文。-Based on visual characteristics of image retrieval technology research, this is about image retrieval in the research of good paper.
ImageSwingApps2
- a good code for CBIR
fuliye
- 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
CBIR
- 基于内容的图片搜索，通过图片的内容寻找相似的图片-Image searching based on the content
programs
- CBIR system using fuzzy logic in matlab
CBIR-matlab
- matlab编写的图像检索代码，依据特征，颜色，边界分割等原理-write matlab code for image retrieval, based on features, colors, borders and other principles of segmentation-image Retrieval
CBIR
- This project focuses on calculating the similarity between the images using genetic algorithm and haar-wavelet. Haar wavelet is being used in order to calculate the images with different features like various expressions
CBIR-Color-His
- This file contains a summary of what you will find in each of the files that make up your Graphic2 application.
CBIR
- 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
IJIGSP-V4-N4-6
- cbir intoduction for colour and texture matching
venisha
- About CBIR in Image Processing
CBIR_texture
- 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
CBIR-UML-Diagram
- 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,colloborat
tamura-texture
- tamura features for image classificaion or CBIR
FULLTEXT01
- 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 i