05 数字图像典型隐写术与隐写检测【二】

图像插值算法有三种方法，最近邻插值、双线性插值、卷积插值(Image interpolation algorithm has three methods, nearest neighbor interpolation, bilinear interpolation, convolution interpolation)

通过小波变换方法对雾天的图像去雾，实现图像增强的效果(Through the wavelet transform of images of fog to fog, to achieve the effect of image enhancement)

基于Canny算子检测图像边缘，其中含有非极大值抑制功能。(Based on Canny operator edge detection image, which contains a non-maxima suppression.)

说明：  对指定的一幅含有多个目标的灰度图像，进行基于阈值的图像分割处理，对结果图像进行基于数学形态学的后处理设计，以得到更理想的目标区域。最后对结果图像进行区域标记（以颜色区分不同区域）并提取目标个数、各目标区域的面积、圆形度等特征。(The gray image with multiple targets is segmented based on threshold, and the result image is designed based on mathematical morphology to get a better target area. Finally, we mark the region of the result image (distinguish different regions by color) and extract the number of targets, the area of each target region, roundness and other features.)

一份关于用正则化去除图像模糊的资料，内含代码以及说明，并附上了仿真结果图(A report on the Regularization blur removal image data containing codes and descriptions, along with the simulation results of FIG.)

先用双峰法将细胞图像进行二值化，然后进行分割和癌细胞识别(Bimodal method first cell image binarization, and segmentation and identification of cancer cells)

说明：  使用PCA将数据集降维，降维后将特征脸还原(Use PCA to reduce the dimension of the data set, reduce the feature face after dimension reduction)

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.)

基于FCM和水平集的图像分割，以脑颅图像为例，分割结果良好(FCM and the level set based image segmentation to skull image, for example, good segmentation results)

马尔科夫蒙特卡罗的matlab实现程序。上传分享，希望可以借鉴他人更好的。(Monte Carlo matlab procedures. Upload and share the hope that we can learn from others better)