ikmeans

计算图像的几何不变矩—Hu矩，以及图像的相似度，在vc下实现。(Calculate the geometric image invariant moments-Hu moments, as well as the similarity of the image, achieved under vc.)

这是TV模型最新的快速计算Matlab源代码，算法可以解决很多非线性扩散方程的计算。稳定性高，计算快。(This is the latest TV models fast calculation of Matlab source code, the algorithm can solve a lot of non-linear diffusion equation calculations. High stability, fast calculation.)

说明：  VC的一些工程案例，包括车牌识别，人脸识别，图像处理基本操作等(car license recognization system)

使用K-means聚类算法的改进算法K-means++对图像区域进行分割。(using the improved algorithm K-means++ segment image.)

说明：  锐化图片 拉普拉斯算法 两种方法 一种是自己写的一种是用了matlab里面自带的函数(ruihua picture Laplace there are two mechof a fi [as fs aflasl;nvb)

说明：  图像预处理，灰度化，滤波，将图像输入后经过算法得到灰度图，然后进行后续一系列转化，拟合圆和椭圆曲线(Image preprocessing, graying, filtering)

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.)

针对 Anrlod 变换的周期依赖于图像的阶数这一特性, 提出了一种反变换算法 。 该算法 通过分析加密图像任一点处两坐标分量间关系, 得到原图像相应点的坐标 , 从而实现图像的解密。(In view of the characteristic that the Anrlod transform cycle depends on the order of the image, an inverse transformation algorithm is proposed. The algorithm obtains the coordinates of the corresponding points of the original image by analyzing the relationship between the two coordinate components at any point of the encrypted image, so as to achieve the decryption of the image.)

Itti的经典视觉显著性模型的matlab代码，可以直接运行，验证过后就可以下载了。(Itti vision matlab codes)

K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the characteristics of data clustering data. The principal component analysis reduces the dimension, carries on the visualization operation to the data, reduces the dimension to the features.)