watershed

对于低水平的视觉情况下，加权核规范最小化算法及其应用。(Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision)

matlab图像处理，可以提取图像轮廓，提取效果好。(matlab image processing, image contour can be extracted, extraction effect.)

使用统一资源定位符类URL实现文件下载，同时ImageIO也可以实现(class URL download file)

matlab图像分割实例，基于Lab空间的色彩分，割调用库函数实现，带注释，简单易懂；(matlab example of image segmentation, based on Lab color space points, call the library functions achieve cutting, with comments, easy to understand )

最小交叉熵图像分割源代码（原创）.相关参考文献见源代码。(source code for the minimum cross-entropy thresholding algorithm)

内容包括高斯混合概率假设密度滤波器仿真程序，GM-PHD滤波器提供了一种PHD滤波器工程化的方法，在无数据关联的情况下进行目标跟踪。(This algorithm is extended to accommodate mildly nonlinear target dynamics using approximation strategies from the extended and unscented Kalman filters.)

SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 (SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching. )

matlab函数，将多维矩阵的极值找出并定位，图像处理经常用到，很简单很好用(matlab function, multi-dimensional matrix to identify and locate the extreme, often used in image processing, it is very simple to use)

一个人写的sift代码，matlab实现，比起原作者的效果差些，但是也不错。（原作者没有公开源码）()

对两幅图像进行相似度计算，基于相似度计算进行模板匹配，带有测试图像，可以直接运行(Calculate the similarity of the two images, the similarity calculation based on template matching, with a test image, you can directly run)