IHS

序列匹配c++实现，可以帮助理解序列匹配算法(Sequence matching c++ implementation can help to understand the sequence matching algorithm)

分块压缩感知中稀疏表示增加方向性提高重构质量(Block compression to increase directional to improve the reconstruction quality perception in sparse)

常用的几个图像二值化算法，包括全局的二值化和局部的二值化算法(This program contains Several commonly used image binary algorithms including global and local binary algorithms.if you want ,just download)

将保存有灰度图像信息的txt文件转化生成灰度图片。 txt数据只能包含数据，数据用逗号或者空格隔开，所存数据个数应与所生成的图片大小相同。例：要还原的图片大小为640*480，那么txt文件中就应当有307200个数据。(The txt file with information of grayscale image is transformed into gray image. The TXT data can only contain data, separated by commas or spaces, and the number of data stored should be the same as the size of the generated image. Example: the size of the image to restore is 640*480, so there should be 307200 data in the txt file.)

画图程序 画直线 矩形 圆 椭圆 可填充(draw line .rectangle .circle .roundrectangle. can be filled)

zernike亚像素识别算法，matlab实现。(Zernike sub-pixel recognition algorithm, matlab achieve.)

We extend the well-known Shi-Tomasi-Kanade tracker by introducing an automatic scheme for rejecting spurious features. We employ a simple and efficient outlier rejection rule, called X84. Experiments with real and synthetic images confirm that our algorithm makes good features to track better

说明：  由于只是利用图像的灰度信息, SIFT 算法不能很好地区分形状相似但颜色不同的物体。针对这一问题, 提出了一种基于彩 色的SIFT 特征点提取算法, 并着重分析了多种彩色模型对算法性能的影响。这种算法也是在图像的灰度尺度空间上检测特征点, 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算。(SIFT)

通过准确的图像预处理和最小外接矩形方法，准确定位斑点位置和求取面积(Accurate location and area of spots are located accurately by accurate image preprocessing and minimum external rectangle method)

利用径向基函数的方法进行隐式表面重建，matlab代码(Radial basis function method for implicit surface reconstruction)