搜索资源列表
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
MyCBIR
- 基于图像内容的检索(颜色和纹理特征)。由于里面用到的库可能和你配置不一样,需要自己配置下。-Based image retrieval (color and texture). Which used the database may be configured and you do not need their own configuration.
BALL
- 同学做的OpenGL,篮球纹理贴图,篮球是跳动的。可自行修改背景颜色。调试过了,可以用-Students do OpenGL, basketball texture, basketball is beating. Can modify the background color. Debugging, you can use
cg-opengl
- 利用OPENGL及库函数实现模拟出一个高度随机的地形,并贴纹理,实现高度不同,颜色不同-Use OPENGL and library functions to simulate a highly random terrain and texture paste, to achieve different heights, different colors
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
Image-feature-extraction
- 分别有基于颜色特征、纹理特征、形状特征的提取,更好的比较图片的相似度-Respectively, based on color feature, texture feature and shape feature extraction, image similarity better comparison
ColoraTexture-Search
- 基于颜色和纹理的综合图像检索方法论文,图像部分采用颜色直方图方法,纹理部分采用灰度共生矩阵特征向量方法-Integrated based on color and texture image retrieval papers, part of the image using the color histogram method, part of the use GLCM texture feature vector approach
10.1.1.74.193
- JSEG是一种基于颜色和空间纹理信息的区域 分割方法,主要包括颜色量化和空间分割。-JSEG a space based on the color and texture information area Segmentation methods, including color quantization and spatial segmentation.
Image_index-System
- 基于内容的图像检索,分别基于图像的颜色、纹理和形状进行检索。-Content-based Image Retrieval
LEAf
- 用于视频检测中的叶子识别,提取颜色特征和纹理特征,简单高效。-Leaves for video detection to identify, extract color and texture features, simple and efficient.
D3Ddemo15
- 一个综合型的Direct3D示例程序,用键盘上W,A,S,D,I,J,K,L,↑,↓,←,→12个键加上鼠标在美丽的三维空间中翱翔。包括了Direct3D初始化,DirectInput输入处理,顶点缓存,光照与材质,文字输出,颜色,纹理贴图,四大变换,网格模型,X文件载入等等知识(当然还有默认被开启的深度缓存)。-A comprehensive, Direct3D sample program using the keyboard W, A, S, D, I, J, K, L, ↑, ↓, ←,
D3Ddemo
- 一个综合型的Direct3D示例程序,用键盘上W,A,S,D,I,J,K,L,↑,↓,←,→12个键加上鼠标在美丽的三维空间中翱翔。包括了Direct3D初始化,DirectInput输入处理,顶点缓存,光照与材质,文字输出,颜色,纹理贴图,四大变换,网格模型,X文件载入等等知识(当然还有默认被开启的深度缓存)。-A comprehensive, Direct3D sample program using the keyboard W, A, S, D, I, J, K, L, ↑, ↓, ←,
OpenCVTZTQ
- 基于OpenCV的图像颜色、形状、纹理提取程序-OpenCV-based image color, shape, texture extraction procedure
Experiment-One
- VS2010下,通过opencv实现对三类目标的特征提取,包括颜色特征、纹理特征和轮廓特征-Under VS2010, opencv achieved through three types of feature extraction targets, including color, texture and contour characteristic feature
feather
- 提取图片的9维颜色和6维纹理特征,并存储为矩阵形式-9-dimensional images to extract color and texture features six dimensions and stored in matrix form
object-tracking
- 目标跟踪部分采用颜色空间与纹理特征结合的方式,实现建模。-In the part of target tracking, adopts the method combination with color space,texture characteristics,Mean-Shift and kalman filter,to achieve the goal.
8-(3)
- 利用灰度共生矩阵提取图像纹理特征值,然后根据熵值的大小来实现模块大小的选择。 另外,在寻找最佳匹配块时,同时考虑了颜色信息的差异和空间距离的因素。最后,给出了客观评价 图像修复质量的PSNR度量。实验表明,与Criminisi算法相比,该方法得到的修复效果更自然,更符合 人的视觉感知。 关键词:图像修复;纹理合-This paper firstly utilizes gray-level co-occurrence matrix to exti’act image s textu
grabcut
- GRABCUTOpenCV中的GrabCut算法是依据《"GrabCut" - Interactive Foreground Extraction using Iterated Graph Cuts》这篇文章来实现的。该算法利用了图像中的纹理(颜色)信息和边界(反差)信息,只要少量的用户交互操作即可得到比较好的分割结果。如果前景和背景之间的颜色反差不大,分割的效果不好;不过,这种情况下允许手工标记一些前景或背景区域,这样能得到较好的结果。-GRABCUTOpenCV in GrabCut alg
image-processing6
- 图像检索分为颜色特征,纹理特征,形状特征,提取特征与相似度比较-image retrieval
(2)
- 图像处理颜色纹理等特征提取的源代码C++的,希望对你有帮助-Color texture image processing feature extraction source code C++, I hope to help you