On the Gaussian image parameter settings, large images of small image parameter...

用VC实现的图像平滑，锐化代码。调试正确。放心使用。-with VC image smoothing, sharpening code. Debugging correct. Assured use.

绘制一个桌子并对其进行填充 实现消隐效果 可以旋转-drawing a table and filled its shadow effect can be achieved rotation

基于神经网络的识别程序，程序采用三层BP网络训练，采用了普通定义中加入动量因子的训练法，精确度很高。-based on neural network identification procedures, procedures adopted a three-tier network training BP, with its definition of momentum into the training factor, a high degree of precision.

图像的组成无非是一些字符串或者一些字节组成的字符串，然而，每一个字节数据位的重要度并不是一样的，两个相邻字节往往只有低位是不一样的。例如：00100110和00100111代表了两个不同渐变度的红色，但是就人眼是分辨不出来的。最低有效位LSB算法，就是利用这一点，达到图像压缩，或者数字水印的功能。-The composition of the image is nothing more than some number of bytes or string composed of string, however, one byte for each data bit is not an important degree of the same, often only two adjacent low-byte is not the same. For example: 00100110 and 00100111 represent the gradient of two different degrees of red, but on the human eye is not out to tell. Least significant bit LSB algorithm, is to take advantage of this point, to achieve image compression, or digital watermark feature.

图像二值化算法：Otsu算法，Kittler minimum error thresholding算法，Niblack二值化算法。都是很经典的二值化算法，可用于对图像进行二值化，我自己编写的并经过测试正确。附件中有算法使用说明。-Image binarization algorithm: Otsu method, Kittler minimum error thresholding method, and Niblack method. All these methods are classical binarization methods.

用matlab编写的图像复原源代码，采用维纳滤波复原技术，可对模糊和加噪的图像实现精确复原。-Prepared using matlab source code image restoration using Wiener filter restoration technology, can be vague and processors realize accurate image noise resilience.

vc编的绘图程序,算法维图形学中的非库调用有圆,线条等,有颜色选择.-vc addendum to the drawing process, algorithm-dimensional graphics, which called for a non-circular, such as lines, color choices.

基于matlab的Movie编辑器，可修改编辑movie,支持avi,mpg,jpg等多种格式存取。

基于Hough圆变换算法，在图像中寻找圆形-Based on the circular Hough transform algorithm to find the image circle

图像处理中，采用均值滤波的方法对所选取的图像在MATLAB环境中进行处理 -Image processing, using the method of average filtering of the selected image in the MATLAB environment to deal with