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onenewfangfa
- 算法不仅具有旋转不变性, 而且对灰度变化、噪声、光照以及对比度变化等也具有很好的鲁棒性, 同时匹配速度比归一化积相关匹配算法(N P rod) 提高了近一倍。-algorithm with a rotating invariance, but the gray changes, noise, light and contrast changes with good robustness, while matching faster than a normalized correlation ma
Texture
- 用灰度共生矩阵对共生矩阵归一化和计算能量、熵、惯性矩、相关4个纹理参数。-On the symbiosis with the GLCM matrix normalization and calculation of energy, entropy, moment of inertia, related to four texture parameters.
Image_matching
- 为了解决光谱恢复对图像匹配高精度的问题, 提出了一种高精度图像匹配算法———利用光流确定图像的运动场对图像进行匹配。该算法克服了传统的基于灰度匹配方法受图像插值精度影响的缺陷以及运算速度和精度的局限性。与基于MAD 块匹配算法和归一化相关系数块匹配算法进行比较, 该算法实现了图像序列高精度匹配, 而且硬件实现简单, 计算复杂度较低。-To address the spectrum of the resumption of high-precision image matching problem
touying
- 二维投影相关法是基于二维投影的灰度相关匹配算法，主要利用匹配图像相邻像素的灰度值的大小关系 应该相同的原理进行图像匹配。该算法不仅大大减少了数据的维数，而且算法主要涉及（0,1）整数运算。与去均值 归一化互相关算法相比，其在保证匹配精度要求的前提下提高了匹配速度。 -Two-dimensional projection-related method is based on two-dimensional projection of the gray correlation match
testpipei_1
- 基于灰度的归一化匹配算法：将原图以及匹配图灰度化，算出相关系数后得到匹配区域。-Based on Gray' s normalized matching algorithms: the original image and the gray level of matching graph, calculate the correlation coefficient obtained after the matching area.
testpipei_1
- 基于灰度的归一化匹配算法：将原图以及匹配图灰度化，算出相关系数后得到匹配区域。-Based on Gray' s normalized matching algorithms: the original image and the gray level of matching graph, calculate the correlation coefficient obtained after the matching area.
ImageMatching
- 本程序在VC++2005环境下编译，本程序使用了归一化积相关灰度匹配算法实现了遥感图像的匹配。-The program compiled under VC++2005, the program uses the normalized gray correlation matching algorithm integrated remote sensing image matching.
DlgImageMatchGYH
- 归一化积相关图像灰度匹配算法的C++代码实现-The normalized product correlation image matching algorithm C++ code
Match
- 归一化灰度值匹配,SSDA匹配； 模板匹配，分别采用平方差匹配法，相关匹配法，相关系数匹配法和归一化等方法实现-Normalized grey value matching, SSDA matching Template matching, (yi- (mxi+ b)) were used respectively to matching method, correlation matching method, the coefficient of correlation matching
GLCM-feature-extraction-procedures
- 灰度梯度共生矩阵 H 归一化灰度梯度矩阵 H_basic 小梯度优势 T1 大梯度优势 T2 灰度分布的不均匀性 T3 梯度分布的不均匀性 T4 能量 T5 灰度平均 T6 梯度平均 T7 灰度均方差 T8 梯度均方差 T9 相关 T10 灰度熵 T11 梯度熵 T12 混合熵 T13 惯性 T14 逆差矩 T15-GGCM H normalized gray gradient matrix H
Nprod
- 基于灰度图像配准算法，归一化积相关。比较基础。-Based on gray image registration algorithm, normalized product correlation.