搜索资源列表
opencv
- 提取图像的特征，用openCV实现，包括图像颜色直方图，形状特征，纹理特征等。-get features of images,all kinds of images.
texture
- 多目标跟踪：利用gabor滤波器得到的纹理信息进行特征提取-Multi-target tracking: the use of texture information obtained by gabor filter feature extraction
cvgabor
- 这里包含高质量的Gabor实现代码，基于OpenCV。Gabor变换可以实现在多个尺度、多个方位上的变换，尤其是对于纹理的检测有很好的效果，研究表明Gabor特征符合人眼感受野特性。 -Gabor included here to achieve high-quality code, based on OpenCV. Gabor transform can be achieved in multiple scales, multiple orientations of the transform
OpenCV_extract
- 使用OpenCV来提取哈密瓜水果的纹理特征，介绍详细-Melon fruit to extract texture features using OpenCV to introduce
T_Features
- 使用OPENCV实现的Tamura纹理特征，基于灰度共生矩阵的纹理特征-Use the OPENCV to achieve Tamura texture features based on GLCM texture features
texture_extract
- 在VS2010和OPENCV2.4.3下实现对一幅图像的纹理特征的提取。-In the VS2010 and OPENCV2.4.3 under an image texture features extraction.
94c8dcd0e2a8
- 一种基于纹理特征分析的遥感图像分类C++程序-Based on the analysis of texture characteristics of remote sensing image classification C++ program
feature-exaction-codes
- OpenCV全局特征提取，包括颜色、纹理和形状的提取算法代码，如直方图、边缘轮廓等-feature exaction codes for images using opencv, including features like color, texture and shape
GLCM
- opencv实现灰度共生矩阵并求图像的几个纹理特征-opencv glcm实现灰度共生矩阵并求图像的几个纹理特征
RGBN_PF
- 一种多目标特征融合跟踪算法，特征采用的是颜色特征和改进的LBP纹理特征-A multiple target features fusion tracking algorithm, feature is based on color feature and improved LBP texture feature
GMCL1
- opencv基于纹理特征提取的灰度共生矩阵，效果还比错 可以参考-Opencv based texture feature extraction of the gray level co-occurrence matrix, the effect is also better than the wrong reference
GLCM
- GLCM纹理特征检测，包括熵，能量，对比度，一致性四个特征值-GLCM texture feature detection, including entropy, energy, contrast, uniformity four eigenvalues
lbp_pro
- C++实现的LBP算法提取图像纹理特征, 对“飞龙”的《LBP》例程重新实现-C++ implementation of the LBP texture feature extraction algorithm, C++ implementation of the LBP algorithm for extracting image texture features
gabor
- gabor滤波相当于人的感官系统，可以识别对图像纹理特征-Gabor filtering is equivalent to the human sensory system, you can identify the image texture features
LBP
- 一幅图像的纹理是在图像计算中经过量化的图像特征。图像纹理描述图像或其中小块区域的空间颜色分布和光强分布。纹理特征的提取分为基于结构的方法和基于统计数据的方法。一个基于结构的纹理特征提取方法是将所要检测的纹理进行建模，在图像中搜索重复的模式，该方法对人工合成的纹理识别效果较好。但对于其他图像中的纹理识别，基于统计数据的方法效果更好。-A texture image is the image in the calculation of the quantized image features. Sp