face_detect

说明：  基于四元数的matlab处理工具包，利用四元数实现了很多图像处理的功能，并提供了api供大家使用(Quaternion-based processing tool kit of matlab, the use of quaternions to achieve a lot of image processing functions, and to provide for your use of the api)

通过直线拟合进行钻石角度的测量，包括二值化，边缘检测，直线拟合最后进行数学算法进行角度测量(Measurement of Diamond Angle by Linear Fitting)

这是一个去背景并且进行阈值分割的程序，阈值的选择采用迭代法(This is the background to a threshold value and segmentation procedures, the threshold value of the options using the iterative method)

利用全卷积神经网络，实现图像的语义分割，基于tensorflow的keras可以直接运行(Using the full convolutional neural network to achieve semantic segmentation of images, keras based on tensorflow can be run directly)

说明：  RAT power toy (KOL)

二维图形图像处理，高斯平滑的源代码，图像预处理(Two-dimensional graphic image processing, Gaussian smoothing of the source code, image preprocessing)

说明：  傅立叶变换在图像处理中的重要作用： (A) 图像增强与图像去噪 绝大部分噪音都是图像的高频分量，通过低通滤波器来滤除高频噪声；边缘也是图像的高频分量，可以通过添加高频分量来增强原始图像的边缘； (B) 图像分割与边缘检测 提取图像高频分量 (C) 图像特征提取 形状特征：傅里叶描述子 纹理特征：直接通过傅里叶系数来计算纹理特征 其他特征：将提取的特征值进行傅里叶变换来使特征具有平移、伸缩、旋转不变性 (D ) 图像压缩 可以直接通过傅里叶系数来压缩数据；常用的离散余弦变换是傅立叶变换的实变换； (Fourier transform in the important role of image processing: (A) image enhancement and image denoising Most of all images of high frequency noise by low pass filter to filter out high frequency noise edge is the image of the high frequency components can be enhanced by adding high frequency components to the edge of the original image (B) Image segmentation and edge detection High frequency components extracted image (C) image feature extraction Shape features: Fourier descriptors Texture: directly through the Fourier coefficients to calculate the texture features Other features: The characteristic value extracted by Fourier transform to the characteristics of translation, scaling, rotation invariance (D) image compression Fourier coefficients can be directly compressed data commonly used discrete cosine transform is the Fourier transform of the real transformation 朗读显示对应的拉丁字符的拼音)

说明：  图像处理基于harris角点特征的图像配准程序(Image processing based on the characteristics of harris corner image registration procedures)

运用基于密度的聚类算法实现了超像素的分割(The segmentation of super pixels is realized by using the clustering algorithm based on density)

用于小波的图像的去噪，对于刚接触图像处理的人来说简单 易懂(For wavelet image denoising, image processing for刚接触people who are easy-to-read)