shuzituxiang

细节增强的直方图均衡法，在增强图像对比度的同时还能保留细节细心，避免了细节吞噬现象(Detail enhancement, histogram equalization, but also retained the same time enhance the image contrast details carefully, to avoid the details of phagocytosis)

图像处理C程序，利用CCD捕获图像，通过网络接口传输到电脑中。(Image processing C )

基于数学形态学实现振动信号降噪。研究了数学形态滤波器对振动信号在不同类型、不同强度噪声干扰下 的降噪能力，提出了采用开一闭和闭一开组合数学形态滤波器实现旋转机械振动信号降噪处理的方法。通过仿真 计算及实例，检验了形态滤波器的滤波效果，表明数学形态滤波器可以有效剔除脉冲、降低随机噪声干扰，提高 振动信号的信噪比。(The vibration signal noise reduction based on mathematical morphology. Mathematical morphology filter vibration signals in different types, different intensity noise, noise reduction capabilities, proposes using open-closing and close the opening combination of mathematical morphology filter rotating machinery vibration signal noise reduction processing. Simulation and examples, test the morphological filters filtering effect, indicating that the mathematical morphological filter can effectively excluded the pulse, to reduce random noise and improve the signal-to-noise ratio of the vibration signal.)

图像的三种分水岭分割方法，一般分水岭分割，使用梯度的两次分水岭分割及使用梯度加掩模的三次分水岭算法(images of the three watershed segmentation method, the general watershed segmentation, gradient of the two watershed segmentation and the use of the gradient increases mask the three watershed algorithm)

水平集图像分割代码，对应论文为Li C, Xu C, Gui C, et al. Level set evolution without re-initialization: a new variational formulation[C]//Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. IEEE, 2005, 1: 430-436.(Level set image segmentation code, the corresponding papers of Li C, Xu C, Gui C, et al Level set evolution without re-initialization:.. A new variational formulation [C]// Computer Vision and Pattern Recognition, 2005 CVPR 2005 IEEE. Computer Society Conference on IEEE, 2005, 1:. 430-436.)

用TV算法实现图像去噪，包含TV，PM模型等(in this MTV, the diffusion is along the edge direction of the original noisy image(maybe its smoothed version using a Gaussian filter of small scale),it can preserve edge and suppress staircase very well.)

利用pcnn和nsct实现图像融合，非下采样Contourlet变换，脉冲耦合神经网络，连接强度(Using NSCT and PCNN image fusion, the sampling Contourlet transform, the pulse coupled neural network, the connection strength)

fcm 及快速fcm实现图像分割，还带有GUI界面(fcm fcm and fast image segmentation, but also with GUI interface)

基于均值漂移的图像平滑MATLAB源戴码。(Based on mean-shift image smoothing Dai MATLAB source code.)

基于霍夫变换开发一种较通用的快速圆检测方法，并将之应用到虹膜图象的检测中，完成对虹膜内、外边缘的定位。(Hough transform based on the development of a more general-purpose fast circle detection methods, and to apply it to the detection of iris images, the completion of the iris inner and outer edge of the positioning.)