Codes_for_Vese_Chan_Multiphase_level_set_method

基于多特征描述和DPF区域匹配的图像检索(Based on multi-feature description and matching DPF Regional Image Retrieval)

压缩感知基追踪算法，实现二维图像的小波变换以及图像重构(Compressed sensing based tracking algorithm, wavelet transform two-dimensional image, and image reconstruction)

说明：  计算GIF彩色图像的差异，两幅图像大小一致且调色板一致。其中Psnr 为两幅图像的psnr值.P 为两幅图像之间像素索引不同的索引值占图像大小的比例。(GIF image color difference calculation, the two images the same size and same color palette. One Psnr the two images psnr value. P index for the pixels between two images, the index values of different ratio of total image size.)

说明：  利用全卷积神经网络，实现图像的语义分割，基于tensorflow的keras可以直接运行(Using the full convolutional neural network to achieve semantic segmentation of images, keras based on tensorflow can be run directly)

针对分水岭算法存在的过分割问题以及VCH-F1切片图像的特点，提出一种能够有效消除局部极小值和噪声干扰的自动分割方法。首先比较彩色分量梯度图，选择分量图像的梯度信息，达到有效提取图像边缘信息的目的；然后提出基于多阈值分割的方法消除无效梯度信息；最后介绍了算法的步骤及结果。实验结果证明，通过该方法处理的梯度图像再进行分水岭算法处理，即使不进行区域合并也能达到很好的效果。(Watershed algorithm for over-segmentation problem of the existence of VCH-F1 as well as the characteristics of the image slice, a can effectively eliminate the local minimum value and noise automatic segmentation method. Comparing the first color component gradient map, select the quantity of image gradient information, achieve an effective extraction of image edge information purposes then made based on multi-threshold segmentation method to eliminate invalid gradient information Finally introduce the steps of the algorithm and results. Experimental results show that the adoption of the method of treatment of gradient watershed algorithm for image re-treatment, even if there is no regional merger will also achieve good results.)

本程序主要实现低分辨率图像的超分辨率重建，有助于我们理解图像重建的过程和原理(This procedure is mainly to achieve super-resolution reconstruction of low-resolution images help us understand the process and principles of image reconstruction)

改进的水平集方法，采用C_V模型进化。为多相位(improve the level set method, C_V evolutionary model. For the multi-phase)

Jsteg算法实现基于JPEG图像的信息隐藏(Jsteg algorithm information hiding based on JPEG image)

说明：  SLM与PTS的融合(低复杂度),直接可运行(SLM and PTS)

利用c++实现图像转置源代码，像素变换的一种方式(use Image home to the source code, pixel transform the way)