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实现了交互式图像分割算法，只需手动标注标记点就可以实现图像分割(Interactive image segmentation algorithm, simply manually annotate the markers can be achieved to image segmentation)

本程序用量子行为的粒子群算法训练支持向量机，并用IRIS数据验证了该方法的有效性(This procedure acts with quantum particle swarm optimization training support vector machines, and IRIS data to verify the effectiveness of the method)

数据库是由10个人的7种正面表情组成的213幅灰度图像，图像是以大小为256256的8位灰度级存储的，格式为.tiff型，平均每个人每种表情有2到4张。( the JAFFE database[11] which is composed of 213 images of female facial expression corresponding to 10 distinct subjects. Each image is stored at a resolution of 256×256 pixels and 8-bit gray level. Each subject in the database is represented with 7 categories of expression (angry, disgust, fear, neutral, sadness, happiness and surprise). )

计算haar尺度函数和小波基系数矩阵，用于数值计算，如解偏微方方程，自己编写的。(Computing haar wavelet scaling function and the coefficient matrix for the numerical calculation, such as the solution of partial differential equations side, I have written.)

在计算机视觉中，图像分割是将图像分成多个片段的过程。这使我们能够通过以比原始图像更简单的表示方式来更好地分析图像。一种用于分割图像的方法是阈值分割；也就是说，将强度值低于阈值的所有像素设置为背景值，而将高于阈值的其他像素设置为前景值。最简单的阈值处理形式是对所有像素使用全局阈值，而自适应阈值处理根据像素及其周围环境动态改变阈值。典型地，阈值处理从灰度图像开始，并输出二进制图像以清晰地描绘图像中的片段。在本实验中，我们开发了一种自适应阈值算法，并将其与更简单的算法进行了比较。 此外，我们还开发了逆运动学证明来将机械臂移动到给定的x，y，z坐标。这一证明涉及三种命名身份，并获得了对机械臂设计的更好理解。(Image threshold segmentation)

对于一张8位灰度图像lena.bmp 1）运用4×4抖动矩阵，生成对应抖动图像 2）生成有序抖动图像 3）对于一张24位彩色图像，生成4×4抖动图像( For a 8-bit gray image (lena.bmp) 1）Use a dithering matrix (4*4), generate the dithered image. 2) Generate the ordered ditering image (4*4). 3) For a 24-bit color image, generate the dithered image (4*4). )

说明：  通过比较在预处理中选择了灰度变换增强、选择了中值滤波平滑、Sobel算子锐化并利用Ostu法阈值分割法进行分割；用了小波多尺度检测进行检测，最后计算出大桥裂缝的相关数据，在大桥桥梁裂缝检测方法与研究中可以较好的实现大桥桥梁裂缝图像的检测。(the gray-scale transform enhancement, median filter smoothing, Sobel operator sharpening are selected in the preprocessing, and the Ostu threshold segmentation method is used for segmentation; finally, the wavelet multi-scale detection is used for detection, which can better realize the detection of the bridge surface crack image in the bridge surface crack detection method and research.)

这是基于稀疏表示的图像重建，用来做图像去模糊或超分辨，绝对可以用(Sparse Representation for Image Restoration)

基于暗通道先验理论的去雾算法，使用rgb暗通道计算大气光及透射率获得去雾图像(Since the scene radiance is usually not as bright as the atmospheric light, the image after haze removal looks dim. So we increase the exposure of J(x) for display.)

基于角点特征的图像匹配的几个代码~~较为详细~~~(Corner Feature-based image matching of several more detailed code ~ ~ ~ ~ ~)