zhongxin

说明：  一种彩色图像的边缘检测算法，检测效果非常好，它是对Canny算法的改进，定位好，相应标准高，检测率高，误检率低(a kind of edge detection algorithm.The algoritlun employs amultpassprocessing approach that re}novesnoisefrom theRGB componentswith apre-filter, with the color edge detector then based on an extended gray scale edge gradient tern plate detector.)

说明：  用于计算图像的信息熵和相关性系数，在信息隐藏的图像算法评价中有很好的应用。(It is used to calculate the information entropy and correlation coefficient of image, and has a good application in the evaluation of image algorithm of information hiding.)

说明：  [屏幕抓字生成字库工具与找字函数]v5.6 By FeiYue 主要功能：快捷抓取、查找屏幕文字图像，生成的代码可用于AHK脚本。v5.6 改进：颜色模式增加了对偏色的支持，方便高手在游戏中使用。([screen grabbing to generate word library tool and word finding function] V5.6 by Feiyue Main functions: quickly grab and search the text image of the screen, and the generated code can be used for AHK script. V5.6 improvement: the color mode increases the support for color deviation, which is convenient for experts to use in the game.)

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)

波变换的图像配准与融合算法的研究，主要描述了图像的各种配准方法和基本的融合方法(Wavelet transform algorithm for image registration and fusion research, will describe a variety of image registration methods, and basic integration methods)

用 双 线 性 插 值 法 实 现 图 像 缩 放(Using bilinear interpolation for image zooming)

LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式,融合了自组织和有导师监督的技术,学习方法是竞争的,但(LVQ (Learning Vector quantization) algorithm: it is an extended form of supervised learning of Kohonen, which combines self-organizing and supervised techniques. The learning method is competitive, but the)

盲去卷积复原算法，并在MATLAB中进行实验，和维纳滤波的复原效果进行一个对比。盲去卷积的方法有多种，露西-理查德森算法属于图像复原中的非线性算法，与维纳滤波这种较为直接的算法不同，该算法使用非线性迭代技术，在计算量、性能方面都有了一定提升(The blind deconvolution restoration algorithm is carried out in MATLAB and is compared with the restoration effect of Wiener filtering. There are many ways of blind deconvolution. Lucy Richardson algorithm is a nonlinear algorithm in image restoration. Unlike Wiener filtering, this algorithm uses nonlinear iteration technology, and has a certain improvement in computation and performance.)

我们提出了一个简单、灵活和通用的对象实例分割框架。我们的方法能有效检测图像中的对象，同时为每个实例生成高质量的 segmentation mask。这种被称为 Mask R-CNN 的方法通过添加用于预测 object mask 的分支来扩展 Faster R-CNN，该分支与用于边界框识别的现有分支并行。Mask R-CNN 训练简单，只需在以 5fps 运行的 Faster R-CNN 之上增加一个较小的 overhead。此外，Mask R-CNN 很容易推广到其他任务，例如它可以允许同一个框架中进行姿态估计。我们在 COCO 系列挑战的三个轨道任务中均取得了最佳成果，包括实例分割、边界对象检测和人关键点检测。没有任何 tricks，Mask R-CNN 的表现优于所有现有的单一模型取得的成绩，包括 COCO 2016 挑战赛的冠军。(Mask R-CNN code by HeKaiming)

用加密代码将文字隐藏在图片中，用解密代码将文字提取。c++(The text is hidden in the picture with encrypted code, and the text is extracted with decryption code.)