filter_methods

根据曲率求图像分割的方法，可以在matlab下运行。(According to the curvature of the methods for image segmentation, you can run.)

说明：  共享主成份尺度不变变换PCA-SIFT代码，用于SAR图像配准，希望对各位雷达爱好者和SAR工作者有用！(Principle component analysis, PCA- Scale invariant feature transform-SIFT used for SAR processing. )

去除彩色图像中的阴影，以便于图像分割，物体识别以及跟踪(To remove the shadow of color images in order to facilitate the image segmentation, object recognition and tracking)

说明：  对三角网格进行驱动形变，使用Deformation transfer of Triangular Mesh算法(Driving Deformation of Triangular Mesh)

说明：  1. 掌握利用脉冲响应不变法设计IIR数字滤波器的原理和具体方法。 2. 加深理解数字滤波器与连续时间滤波器之间的技术指标转化。 3. 掌握脉冲响应不变法设计IIR数字滤波器的优缺点及使用范围(1. Master the principle and specific method of designing IIR digital filter with impulse response invariant method. 2. Deepen the understanding of the technical index transformation between digital filter and continuous time filter. 3. Master the advantages, disadvantages and application scope of the design of IIR digital filter by the pulse response invariant method)

说明：  用于分解图像，检测产品是否合格。此外，它还包括重组图像，实现图像还原。(decomposition of images for detection products qualified. In addition, it also includes reorganization of images, the image is reduced.)

本程序用于计算图像相似性,计算图像的7个不变矩，包含图像、源程序、网上的说明(3D_Moment_Invariant)

说明：  官方出版的opencv教程，学习opencv必备。(Officially published opencv tutorials are essential for learning.)

说明：  求解在一个三角形上的任何一点，到另外一点的距离最小的一个点。(solution in a triangle on any point to another point of the smallest distance between a point.)

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.)