optics

说明：  边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡(Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between)

图像融合工具包，适合各种图像的融合，希望对你有所帮助(Image Fusion Toolkit for the integration of a variety of images, I hope for your help)

建立在Moravec算子基础上提取特征点后与另外一幅图像进行匹配计算，并输出特征点对应的匹配点像素坐标

gac模型的迎风方案可以实现对灰度图像的分割，分割效果还可以(gac)

PCA（主成分分析法）和ICA（独立成分分析法）的MATLAB源程序，他们是目前图像处理比较经典的特征提取方法(PCA (Principal Component Analysis) and ICA (independent component analysis) of the MATLAB source code, they are comparing the current image processing feature extraction methods of classical)

对场景分类和语义特征稀疏化的高层图像表示(Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification)

高斯平滑滤波实例，高斯滤波实质上是一种信号的滤波器，其用途是信号的平滑处理，我们知道数字图像用于后期应用，其噪声是最大的问题，，由于误差会累计传递等原因，很多图像处理教材会在很早的时候介绍Gauss滤波器，用于得到信噪比SNR较高的图像（反应真实信号）。 (Instance of the Gaussian smoothing filter, Gaussian filter is essentially a signal filter, its purpose is to smooth processing of the signal, we know that the digital image for the late application, the noise is the biggest problem, the error accumulated transfer reason, a lot of image processing textbooks will be introduced at an early Gauss filter for higher SNR of the image (real response signal).)

方向梯度直方图（Histogram of Oriented Gradient, HOG）特征,计算机视觉和图像处理中用来进行物体检测的特征描述子的实现(Histogram of oriented gradients (Histogram of Oriented Gradient, HOG) characteristics, computer vision and image processing used for object detection feature descriptor realization)

按照最邻近原则把待分类样本点分到各个簇。然后按平均法重新计算各个簇的质心，从而确定新的簇心。一直迭代，直到簇心的移动距离小于某个给定的值。(According to the nearest neighbor principle, the sample points to be classified are divided into clusters. Then the centroid of each cluster is recalculated according to the average method to determine the new cluster center. Iterate until the moving distance of the cluster center is less than a given value)

实现瑞雷面波的频散曲线提取，并应用频散曲线模拟面波并成像，随即进行面波的逆频散(Inverse dispersion of the Rayleigh wave dispersion curve extraction and application of dispersion curves simulated surface wave imaging, then surface wave)