搜索资源列表
image-retrieval
- 基于颜色形状纹理特征的图像检索，matlab界面，corel库，原创程序。-Image retri based on color shape texture feature, matlab interface, corel library, original program.
LJSDLDS5TR
- 【matlab国外编程代做】基于纹理的图像检索源码 可以作为参考使用学习-[Do] matlab programming abroad on behalf of the texture-based image retri can be used as a reference source to learn
Gabor
- matlab编程 基于颜色和纹理的图像检索系统-matlab programming based on the color and texture of the image retri system
ImageSearch
- 基于小波变换的纹理图像检索程序，对Brodatz标准纹理库中分割后的图像进行检索实验-Wavelet-based texture image retri procedures, image segmentation Brodatz standard texture library after the search experiment
GLCM-matlab
- 图像检索中的纹理特征；基于共生矩阵纹理特征提取，根据输入图像数据进行计算并返回八维纹理特征行向量-Texture feature in image retri texture feature extraction based on co-occurrence matrix, and then calculate and return eight dimensional texture feature row vector according to the input image data.
1347R1
- lle在图像检索中的应用，GUI界面，包括提取HSV颜色空间的颜色矩特征的子程序，提取图像 不变矩的子程序，提取图像文理特征的子程序，基于傅立叶描述子的纹理特征提取子程序等。-Lle application in image retri , the GUI interface, including extraction of HSV color space the color of the torque characteristics of a subroutine, extract the i
Matlab
- 基于颜色和纹理特征的图像检索,聚类，颜色空间量化，灰度共生矩阵-Content-based image retri
image-retrieval
- 一个可通过颜色、纹理、SHIFT特征来进行图像检索的系统，可以根据需要选择匹配方式，对图像检索具有良好效果。-May be performed by a color, texture, SHIFT feature image retri system, you can choose matching needed for image retri with good results.
GongSheng
- % 图像检索——纹理特征 %基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵 %所用图像灰度级均为256 %参考《基于颜色空间和纹理特征的图像检索》(% image retrieval - texture features % based on co-occurrence matrix texture feature extraction, d=1, theta, =0 degrees, 45 degrees, 90 degrees, 135 degrees
Tamura
- 基于人类对纹理的视觉感知的心理学的研究，Tamura等人提出了纹理特征的表达。Tamura纹理特征的六个分量对应于心理学角度上纹理特征的六种属性，分别是粗糙度（coarseness）、对比度（contrast）、方向度（directionality）、 线像度（linelikeness）、规整度（regularity）和粗略度（roughness）。其中，前三个分量对于图像检索尤其重要。(Based on the study of human psychology for visual perc
CBIR
- 基于内容的图像检索，能搜索相似图像。基于颜色，形状和纹理的图像检索。(Content based image retrieval can search similar images. Image retrieval based on color, shape and texture.)