TensorflowofGCN-

基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 (Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing)

说明：  灰度图象的直方图均衡化；梯度；直方图规定化；(Keywords histogram equalization of gray image; gradient; histogram specification;)

Image, Edge Detection, Code

VC编写的位图图像处理的源代码，包括了增强、变换等内容(VC prepared bitmap images deal with the source code, including the enhanced transformation, etc.)

说明：  Jsteg_Mu可批量对JPEG图像进行Jsteg隐写。 Jpeg_Or 为jpeg密写的原始图像的文件夹， Jpeg_Di 为jpeg密写后密写了的图像的文件夹,code_file 为密写的文件,rate 为密写嵌入率.(Jsteg_Mu JPEG images can be batch Jsteg on steganography. Jpeg_Or jpeg steganography for the original image folder, Jpeg_Di as jpeg steganography written after the close of the images folder, code_file written document for the dense, rate for the steganography embedding rate.)

自己编写的SLIC超像素分割，包括图片，论文(SLIC superpixel algorithm written by myself)

模拟单缝衍射实验，可任意给定单缝的长和宽，得出单缝衍射模拟图像、光量等高线分布图、单缝衍射3D模拟图；另外附带一个关闭全屏的小程序。(Simulation of single-slit diffraction experiment, sewn to order any length and width, draw single-slit diffraction analog image, the amount of light contour maps, 3D modeling diagram single slit diffraction addition Close Full Screen comes with a small program.)

获取图像的LBP特征：对图像的原始LBP模式、等价LBP模式、旋转不变LBP模式，以及等价旋转不变LBP模式的LBP特征进行提取以及显示(Obtaining LBP features of images: extracting and displaying the original LBP pattern, equivalent LBP pattern, rotation invariant LBP pattern and equivalent rotation invariant LBP pattern of images)

说明：  对图像进行哈夫曼编码并且能够解码，可以在命令行中选择图像地址(Huffman encoding and decoding of images)

USB Composit example for HID