Brain-MRI-Ssegmentation

迂回位相全息图matlab程序，经测试能正常运行，并且全息图效果良好(Detour phase hologram matlab procedures, have been tested to normal operation, and good hologram effect)

二维图形图像处理，高斯平滑的源代码，图像预处理(Two-dimensional graphic image processing, Gaussian smoothing of the source code, image preprocessing)

说明：  利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。(The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network training.)

图像识别的小软件，识别率还算凑合吧，大家共同学习(Small image recognition software, the recognition rate still make it, we learn together )

基于matlab的钢筋计数方法，有ui界面(MATLAB-based steel bar counting method with UI interface)

亚像素位移和变形梯度测量采用数字图像/散斑相关(Subpixel displacement and deformation gradient measurement using digital image/speckle correlation(„ DISC… ))

将经过二值化的车道线图利用hough变换提取车道线(After binarization the lane line graph using hough transform to extract lane)

通过阈值去噪，最关键的就是要确定最佳阈值T 的大小.如果阈值太小，可以保留更多的小波系数，但同时噪声也被保留；相反，阈值太大，可以消除更多的噪声，但重要图像特征又将被滤掉，引起偏差.目前使用的阈值分为全局阈值和局部阈值.全局阈值对各层所有的小波系数或同一层内的小波系数都是统一的；局部阈值则是根据当前系数周围的局部情况来确定合适的阈值，具有灵活性.(Threshold denoising, the most critical is to determine the optimal threshold T s size. If the threshold is too small, you can retain more of the wavelet coefficients, but the noise was retained the contrary, the threshold is too large, can be eliminatedmore noise, but the important image features in turn be filtered out, causing bias current threshold is divided into a global threshold and local threshold. global Threshold the wavelet coefficients of all the wavelet coefficients of the layers or on the same floorare unity local threshold is based on the local situation of the current coefficient around to determine the appropriate threshold, with flexibility.)

自己用matlab语言编写的美图秀秀界面，实现图片的处理功能。作为初学者，感觉棒极了。(I use the Meitu Xiu Xiu interface written in MATLAB language to realize the image processing function. As a beginner, it feels great.)

采用快速简单的投影法和差影法实现条烟的缺陷检测(Fast simple video projection method and differential method to achieve Article smoke Defect Detection)