wavelet

@Wiener filter for Skull X-Ray images

（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。 （2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。 （3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量； 然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode). (2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images). (3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture. Then, SVM or other machine learning algorithms can be used for classification and recognition.)

用C语言实现位图格式的图像读取功能，可直接使用。(read BMP by C ,can be used directly.)

一个基于Gabor滤波器组的多特征融合的图像检索算法（CBIR based on Multi-Features Combining Multi-parameters from Gabor Filter-bank, 简称multi法），融合了基于Gabor 小波系数的标准方差，峰态，能量，平滑度和一致性度量五个特征量度，实验表明，该算法是一种更加有效的图像检索方法。(we propose a CBIR algorithm based on Multi-Features Combining Multi-parameters from Gabor Filter-bank(called multi algorithm for short), which use Gabor filter banks and combine five features including standard deviation, kurtosis, energy, smoothness and uniformity together. The results of experiments show that this algorithm is a more effective method used for image retrieval.)

图像边缘检测，实现了几种边缘检测算法，像Roberts，Sobel，Prewitt，Canny等(Edge detection, edge detection algorithm to achieve several, such as Roberts, Sobel, Prewitt, Canny, etc.)

k均值聚类分析。K-means clustering analysis(K-means clustering analysis)

【实例简介】转自CSDN分享，使用时只需改opencv路径，可成功编译。

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)

使用K-L算法进行人脸识别，在经典的算法基础上加上了正确率统计模块，对正确率的分析很有帮助( 分析很有帮助 Implement face recognition Using K-L algorithm, Added the rate of correct module to the classical algorithm, It s helpful to analysis the rate of correct.)

高光谱遥感图像光谱解混的独立成分分析技术(Hyperspectral remote sensing image spectra unmixing independent component analysis)