CV-Active-contour-model

通过GAN和WGAN在python的tensorflow平台上实现图片生成，与真实图片基本一致。(Through GAN and WGAN, the image generation is realized on the tensorflow platform of python, which is basically the same as the real picture.)

计算四个方向的灰度共生矩阵，将其作为纹理特征，是一种纹理特征提取算法。(Calculation of the four directions of Gray Level Co-occurrence matrix as texture features, is a kind of texture feature extraction algorithm.)

本文献讲述了使用多维的结构张量进行基于分水岭的图像增强和去噪方法(The literature describes the use of multi-dimensional structure of tensor-based watershed image enhancement and denoising)

图像处理c源码_功能是打开一幅位图_并显示在屏幕上(_ C source image processing function is to open a bitmap _ and displayed on the screen)

对输入图片进行LBP特征提取，并实现LBP特征可视化( U5BF9 u8F93 u5161 u5D3 u53D3 u53E0 )

一种基于景深的去雾方法，将按通道中的最大值和最小值作为景深基准线，计算其垂直方向上的暗通道像素均值作为透射图，实现去雾，对航拍图效果显著(A dehaze method based on the depth of field, draw a depth datum line according to the maximum value and minimum value of the dark channel, calculate the pixel of the dark channel at the line perpendicular to the depth datum line.Then the transmission map has been gotten. This method performs good especially when processing the aerial map.)

数字图像邻域平均法去噪的实现(包括有Ｍ文件和图像)(neighborhood Digital Image Denoising the average realized (including M documents and images))

基于边缘特征的图像配准算法源码 基于边缘特征的图像配准算法是将不同时间、不同的传感器（成像设备）或不同条件下（天候、照度、摄像位置和角度等）获取的同一场景的两幅或多幅图像根据其边缘特征进行匹配、叠加的处理，最终生成一幅全景图像的方法。该方法具有抗噪性强，匹配速度快，误匹配率低，适用于多种类型的图像等优点，主要可以运用于以下领域： （1）军事研究领域，如飞行器辅助导航系绞、武器投射系统的末制导以及寻地等应用研究； （2）医学图像分析，如数字剪影血管造影DSA血管造影术、肿瘤检测、白内障检测、CT、MRI、 PET、 SPECT图像结构信息融合； （3）模式识别，如特征识别、波形分析、签名证实、目标物运动跟踪、序列图像分析等； （4）计算机视觉，可用于目标定位、自动质量控制等； （5）遥感数据分析，多电磁波段图像信息融合，如多谱段的等场景分类、定位和识别定义好的或已知特征的场景、自然资源监控、核生长监控、市区增长检测等。 本算法实现使用VC++6.0为开发环境，目前只支持灰度图像，感兴趣的朋友可以进一步扩展。(Image registration is a fundamental problem in image processing, which is a process to match two or more images of the same scene taken at different times, from different viewpoints, or by different sensors. Image registration is an important technique for a great variety of applications such as medical image analysis, computer vision, remote image data analysis, image information fusion, and the recovery of the 3–D characteristics of a scene.)

合成孔径雷达点目标成像RD算法，模型参考合成孔径雷达成像算法与实现(Synthetic aperture radar point target imaging algorithm RD, model reference synthetic aperture radar imaging algorithm and implementation)

图像边缘检测算法，采用小波图像边缘检测的算法实现边缘检测(Image edge detection algorithm, using wavelet edge detection)