MNF

自主选择性的查看一幅图像中的部分区域的颜色直方图：允许用户在一幅图像中选择一个矩形区域，通过按住鼠标键画一个矩形，当鼠标放开是，高亮显示矩形框，同时在另一个独立的窗口中，使用画图函数画一个图表（选定区域的颜色直方图），分别用蓝，绿，红表示选中区域中每种颜色的像素数量。(Self-selective color in an image to view a partial area of ​ ​ the histogram: Allows the user to select a rectangular area in an image by holding down the mouse button to draw a rectangle when the mouse is released, the highlighted rectangle, Meanwhile in a separate window, using the drawing functions to draw a chart (selected color histogram region), respectively, with blue, green, red indicates the number of pixels in the selected area of ​ ​ each color.)

用matlab实现图像变形的实验实例，采用idw 和 rbf 算法(imagewarping using idw&rbf algorithms in matlab)

图像相似度计算，利用hog特征，不变矩，包含canny因子计算 来计算两张图片的相似度。可以用来进行图片检索(Image similarity calculation, hog characteristics, invariant moments contain a canny factor to calculate the similarity of two images. Can be used for image retrieval)

说明：  多尺度retinex算法的matlab程序，用着不错(The matlab program of multi-scale Retinex algorithm is well used)

同态滤波器 作用：消除不均匀照度的影响, 增强图象细节。(Filter function with the state: to eliminate the impact of uneven illumination, enhanced image detail.)

说明：  通过hough变换求图像中的圆的参数（圆心坐标和半径）(Through the hough transform for image circle parameters (center coordinates and radius))

尺度空间sift算法的matlab实现，对理解算法步骤很有帮助(Scale space sift algorithm matlab to achieve an understanding of the steps of the algorithm helpful)

用于图像处理-圆检测，可检测多个圆，效果好(For image processing - circle detection, can detect multiple circles, the effect is good.)

分别用kmeans、fcm、kfcm实现图像分割(use kmeans, fcm and kfcm segment image)

1.本程序功能包含显示直方图，OTSU的单值分割，OTSU的二值分割,OTSU的三值分割 2.在OTSU的分割时，通常情况下我们是通过类间方差得到一个分割阈值，但是有时候我们需要得到各灰度级别的目标，那么采取多值分割是 很必要的，通过改进得到OTSU的多值分割方法 3.本程序另外还有显示直方图，计算程序运行时间，处理结果以新的窗口显示等细节，这部分适合MFC初学者。(1. This procedure shows the histogram feature, OTSU single segmentation, OTSU binary segmentation, OTSU three segmentation 2. OTSU segmentation, it is usually the case we are through the between-cluster variance by a partition threshold , but sometimes we need to be the gray level of the target, then the multi-segmentation is necessary, through improved access to multi-OTSU segmentation methods 3. This procedure in addition to show the histogram to calculate run time, treatment the results of a new window display the details of this part of MFC for beginners.)