develspment-matlab-foreigner

scikit-image: Image processing in Python：Python编写的图像处理程序，可直接调用，是学习python图像处理的很好参考。(scikit-image: Image processing in Python：Image processing program written in Python, can be called directly, is to learn Python a good reference to the image processing.)

基于matlab的语音信号处理快速傅里叶变换程序(Fast Fourier Transform Program for Speech Signal Processing Based on MATLAB)

基于二维直方图最大熵阈值法的图像分割算法，可选取较好的阈值实现图像分割(failed to translate)

说明：  利用PCA对人脸图像进行降维，然后训练神经网络分类器的Matlab程序(the Matlab in face recoginization using PCA algorithm)

说明：  图像重建Matlab程序，仅供参考学习，希望对您有用。大家一起学习进步。(Image reconstruction matlab program, only for reference learning, hope to be useful to you. Let's learn and improve together.)

光栅光谱仪利用光栅光谱仪检测不同种类镜片， 通过光栅光谱仪检测出对不同光线的透过率，从而确定其质量 (The quality of different types of lens detection using grating spectrometer, Through the grating spectrometer detected transmittance of different light, to determine its quality)

说明：  Guilde Filter 图像滤波； 包含[2015]Fast Guilded filter.pdf ; [2013] Guided Image Filtering.pdf 经典。(inculde classical paper for guilded filter)

一个读取DXF文件的工具，有示例，有源代码，对某些需要与Autocad进行图形学接口编程的朋友有十分重要的工具，我可以千般辛苦找来的。(a read DXF files tools, example, the active code, certain needs and Autocad graphics interface for programming and friends very important tool, I can offer all kinds of hard to find.)

说明：  快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理(Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation)

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.)