RelaxationLabeling

这是一个用于角点检测的算法程序，精度还可以，适合图像匹配时使用，对于一些特征点也可以效果明显，值得一看(This is for a corner detection algorithm procedures, the accuracy can also suitable for use image matching, For some feature points can obviously, an eye-catcher)

针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)

说明：  PCL是一个类似于OpenCV的开源库，提供了很多三维点云的处理功能，其中就包括点云拼接。在三维扫描项目中，需要利用点云拼接方法将多次扫描得到的点云数据拼合成一个整体。在本例中，用一幅包含人脸的深度图像去匹配之前获得的人脸模板，这将使我们能够确定人脸在场景中的位置和方向。(PCL is an open source library similar to OpenCV, which provides a lot of processing functions for three-dimensional point clouds, including point cloud mosaic. In the three-dimensional scanning project, it is necessary to use point cloud mosaic method to combine the point cloud data obtained from multiple scans into a whole. In this example, a depth image containing face is used to match the face template obtained before, which will enable us to determine the position and direction of the face in the scene.)

极易分词源码包,好用最新版本,双向匹配分词(vulnerable segmentation source package, the latest version easier to use, two-way matching word)

说明：  提取图像中的模式噪声，是先使用滤波器后再进行提取的(To extract the pattern noise in an image, a filter is used first and then the noise is extracted)

双目视觉 图像匹配 sift特征提取与匹配 极线校正(Binocular vision image matching sift feature extraction and matching polar line correction)

灰度共生矩阵和灰度梯度共生矩阵纹理提取，能够计算纹理的多个测度(Gray Level Co-occurrence matrix and gray-gradient co-occurrence matrix texture extraction)

用matlab实现的pca算法，用于将维，适用于各种试验，如人脸识别程序(Using matlab realize the PCA algorithm is used to dimension, applicable to a variety of tests, procedures such as face recognition)

此程序为VC++常用数值算法这本书附赠的光盘中包含了本书中全部的源代码()

说明：  利用经典免疫遗传算法实现单阈值图像的分割。(Classical immune genetic algorithm is used to segment single threshold image.)