边缘分割程序

水表指针识别系统，能够从外部导入任何一个bmp图像，最好是水表图，能够对该图形操作并读出图中水表的度数 (meter target identification system from the outside into any one bmp image, preferably meter map, Graphics to be able to operate and read out the map meter reading)

本程序为二值图像的处理。通过一种称为CNED(connectivity number based edge detection)的方法对二值图像进行边缘提取。结果表明这种方法比candy sober 等算子更加精确，效果更好。(This procedure for binary image processing. Through a known CNED (connectivity number based edge detection) method for binary image edge extraction. The results show that this method, such as candy sober than the operator more precise, better.)

能够选取一幅图像，对其进行灰度处理。设置了几种不同的灰度处理方式。(You can an image, gradation processing them. Provided several different ways of gradation processing.)

说明：  基于小波的图像质量评价方法，具有一定借鉴意义。(Wavelet-based image quality assessment method, with some reference.)

用VB写的画出波纹的程序(Written by VB painted corrugated procedures)

利用udf定义动网格的刚体运动，以使刚体能按照需要做任意的运动。(Use udf defined dynamic grid rigid body motion, so that just needs to be done in accordance with any physical exercise.)

线性反投影算法（Linear Back Projection，简称 LBP）又称累加法，是最早使用的一种简单（ECT图像重建）成像算法。它将通过某点的所有投影射线进行累加，再反向估算出该点的密度值。从成像观点分析，它是不完全的雷登逆变换（完整的雷登逆变换包括微分、希尔伯特变换、反投影和归一化等步骤）。(Linear back projection algorithm (Linear Back Projection, referred LBP), also known as cumulative method, is the first to use a simple (ECT image reconstruction) imaging algorithms. It accumulates all projection rays through a point, then reverse the estimated density value of the point. From the image point of view analysis, it is not exactly the inverse transform Leiden (Leyden complete inverse transformation involving differential Hilbert transform backprojection and normalization steps, etc.).)

自己写的中值滤波剔野程序，用于信号野值剔除。很简单，其中算法可替换(Write your own wild tick median filtering program for the signal, excluding outliers. Very simple algorithm which can be replaced)

对图像的对角线投影，就是沿着对角线进行直方图统计。(Diagonal projection of the image, that is, along the diagonal histogram statistics.)

提取并显示鼠标所在图像点的颜色，C++精选学习源码，很好的参考资料。(To extract and display the image color, select learning C++ source code, a good reference.)