pocs

可以用于图像分割的KNN分类器，简单好用！(knn classification)

波束空间DOA的估计,从图中可以很好的看出角度的估计还是可以的。(Beam-space DOA estimation, from the figure we can see the point of a good estimate is still possible.)

超像素分割程序，既有原码，也有可执行程序，验证过，好用。(Super-pixel segmentation procedure, both the original code, there are executable programs, proven, easy to use.)

极坐标图像转直角坐标图像，相当于球面的展开效果，最好是正方形图像，但是长方形也可以。(POLARTOIM converts polar image to rectangular image)

此程序为袁晓彤CVPR论文“基于多任务联合稀疏表示的的视觉分类”的主代码部分(The program for Yuan Xiaotong CVPR paper " visual classification with Muti-task joint sparse representation" main code of the parts)

应用灰度共生矩阵求解纹理特征并用熵，相关性，惯性矩，能量，局部平衡等参数带有实例照片可以直接编译(Applying the grayscale symbiotic matrix to solve the texture features and using entropy, correlation, inertia moment, energy, local equilibrium and other parameters with example photos can be compiled directly.)

说明：  基于分水岭算法和图论的图像分割，所使用的方法为分水岭算法和Normalized Cut方法(Based on watershed algorithm and graph theory, image segmentation, the method used as a watershed algorithm and Normalized Cut method)

对图像进行纹理处理，为图像识别、目标跟踪创造条件。主要分析：惯性矩、熵以及局部平衡性。(The image texture processing for image recognition, target tracking and create conditions. Main analysis: moment of inertia, entropy, and local balance.)

说明：  对JPEG细粒度 图像质量评价的算法评估。SSIM的KLCC（肯德尔秩相关系数）。(Algorithmic evaluation of JPEG fine-grained image quality evaluation. KLCC (Kendall Rank Correlation Coefficient) of SSIM.)

KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。(KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install OpenCV.)