imageinpainting2

说明：  对图像进行哈夫曼编码并且能够解码，可以在命令行中选择图像地址(Huffman encoding and decoding of images)

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. )

说明：  用奇异值分解（SVD）的方法进行噪声去除( noise removing by SVD analysis)

图像处理基础程序,主要针对遥感影像处理。内含各种基础处理源码(matlab ,imagine analisy)

OPENCV图像处理模板，有界面编程的，以后运用opencv直接在里面填写代码就可以了(OPENCV image processing template, with interface programming, and after using opencv code directly on the inside can be a complete)

说明：  用FCM算法实现图像分割(图像源可以是灰度、索引和RGB图像)(FCM image segmentation algorithm (image source can be gray, indexes and RGB images))

说明：  一种很好的基于改进的椭圆检测算法值得一看要(A good improvement on the ellipse detection algorithm to see)

基于 halcon做的单相机+机械手图像拼接(Image stitching of single camera + manipulator based on Halcon)

K-SVD的工具箱，使用非常简单，直接运行demo。有助于学习K-SVD，对初学者非常有用。(K-SVD Toolbox, easy to use and it is very useful for beginners.)

说明：  通过matlab源码实现图像的最佳自动阈值分割，所选算法是常见的大津法(Matlab source code through the realization of the best automatic image thresholding, the selected algorithm is a common method of Otsu)