fuzzyedge

图像处理中常用的的标准图像，已经分类，包括PNG、BMP、TIFF、JPG等，未进行二次处理(The image processing used in the standard image has been classified, including PNG, BMP, TIFF, JPG, not second)

图像质量评价，计算两幅图像的保真性，鲁棒性 ，结构相似性 (Image quality assessment，calculate the fidelity ，robust and structural similarity of the image，)

IMAGING 工业相机图像灰度特征处理源代码，文件源码中集成了三方组件，非常有价值(IMAGING industrial camera image grayscale image processing source code, the source code to integrate the three party components, very valuable)

说明：  nsct图像处理代码，关于图像融合方面的(NSCT image processing code, about image fusion)

k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）(k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix))

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)

从键盘读取输入信息，并绘制最终的高斯函数。(Read from the keyboard to enter information, and rendering the final Gaussian function.)

说明：  能够实现对生物芯片的识别和图像处理，识别有效芯片区域，读取阴性和阳性点分布和数量。(It can realize the recognition and image processing of biochip, identify the effective chip area, read the distribution and number of negative and positive points.)

PCL库的C#封装，用于点云的处理，包括点云读取，显示，分割，分类，聚类等(C# wrapper of point cloud library.)

说明：  直方图均衡（HE），自适应直方图均衡（AHE），限制对比度的直方图均衡（CLAHE）的图像处理算法，运行无错误，效果还不错。包含循行结果对比。(Histogram equalization (HE), adaptive histogram equalization (AHE), and contrast-limited histogram equalization (CLAHE) image processing algorithm run without error, and the effect is good. Include line-by-line results comparison.)