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比较反滤波和维纳滤波对一幅图像复原的效果。从两方面出发，一是对运动模糊和均值模糊复原的能力，二是抗噪能力，各种情况分别都进行了对比(Comparison of inverse filtering and Wiener filtering on an image restoration results. Proceed in two ways, first on the motion blur and the mean fuzzy recovery capability and noise immunity, all cases are compared separately)

利用直方图双峰法选取适当阈值对图像进行二值化处理。此法只适用于直方图为双峰状图像。(Using the Shuangfeng method to the appropriate threshold histogram of image processing two values. This method is only applicable to the histogram of image of Shuangfeng.)

提取图像RGB颜色空间内的颜色矩。颜色矩是图像重要的颜色特征，在图像检索、比对中具有重要作用。(Calculate the color moment of each color channel in RGB color space of an image)

本程序实现小波和小波包滤波，，对高频部分进行处理对一维信号进行处理，得到重构去噪后的信号，代码调试通过(This procedure realize wavelet and wavelet packet filtering, and the high frequency part of the process of one dimensional signal processing, reconstruction after denoising signal, code debugging through)

基于matlab指纹图像的分组法方向场求法(Based on matlab the fingerprint image dividing group method direction field is also given )

LANDWEBER迭代函数用于图像显示二维图像的显示和应用(LANDWEBER iteration function for image display and application of two-dimensional image display)

利用双线性插值和最近邻插值实现RGB图像的缩放，利用MATLAB编写(The use of bilinear interpolation and nearest neighbor interpolation to achieve RGB image scaling, using MATLAB to prepare)

这是一个口形特征点粗定位程序，首先对唇部图象进行边缘检测，然后利用几何特征进行定位。(This is a lip feature points coarse positioning procedures, first of all on the lip image edge detection, and then positioning the use of geometrical features.)

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！(First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!)

说明：  GUI界面实现打开图像，基于阈值分割，基于边缘分割，基于形态学分割，基于种子点分割和基于主动轮廓模型分割(The GUI interface can open the image, based on threshold segmentation, edge segmentation, morphological segmentation, seed point segmentation and active contour model segmentation)