lianmazhixianjiance

图像颜色一阶矩、二阶矩、三阶矩特征抽取。不带图像分块。(Image color first moment, second moment and three moments features)

将一幅图像划分成8*8图像块，计算灰度梯度共生矩阵，基于混合熵对每个图像块分类(divide an image into 8*8 image blocks,calculate gray-gradient-matrix, classify image blocks based on the mixed entropy)

说明：  该工具箱可实现matlab编程和zemax通信，同时借助于matlab 强大的编程能力以及zemax的光学设计能力，为光学领域工作的科研人员提供了新的途径。(This program can realize the communication between the matlab and zemax, very helpful for optical engineer and student whose major in optical science.)

说明：  实现给定图像中目标的有效监测，并根据颜色对目标分割。(The object can be detector, and it is segmented by the color.)

实现两幅图像匹配。应用SSD+SAD+NCC算法的匹配，很好用的程序(Realizing Two Image Matching.Application of SSD+SAD+NCC algorithm matching, very useful program)

能够很好的对图像的倾斜进行矫正，速度上也较其他算法快。(Can be very good for the image of the tilt correction, speed is also faster than other algorithms.)

指纹图像因设备、图像增强处理等原因造成的纹线断裂会产生伪特征点,会对指纹识别产生负面影响。在结 合传统方法优点的同时,针对间距大、方向偏移小和间距大、方向偏移大的断裂情况,本文设计出窗口制约法和改进的 窗口制约法2 种不同的修复方法。实验结果表明,该方法使修复更加全面、完整,提高了伪特征点去除率,易于编程实 现,对细化指纹图像的断裂有很好的修复效果。(The broken ridge fingerprint image processing equipment, image enhancement and other causes will generate pseudo-feature points to be a negative impact on fingerprint identification. While combining the traditional method has the advantage, for the spacing, direction offset small spacing, direction offset large fracture situation, this design window constraints window method and the improved two kinds of constraints, different repair methods. Experimental results show the method to fix a more comprehensive and complete removal of pseudo-feature points, easy to program, well thinned fingerprint image fracture repair.)

pdf文件转化为图片.pdf 文件转化为图片VC代码实现。(from pdf to image)

通过采用反步滑模控制补偿伺服系统中的齿隙影响，提高跟踪精度(By using the backstepping sliding mode control of backlash compensation in servo system, improve the tracking accuracy)

运动检测方法的实现， 这是最原始的方法实现，根据不同的应用可以对其进行相应的改进(Motion detection method realize that this is the most primitive method, according to different applications can be improved accordingly)