BEMD_code

自己编写的数学形态学膨胀和腐蚀的matlab算法 适用于二值和灰度图象 (I have written mathematical morphology and corrosion expansion matlab algorithm for binary and gray-scale image)

这是我编写的数学形态学处理灰度图像和二值图像的源代码，没有使用matlab自带的函数。可以实现膨胀、腐蚀以及开闭运算。(This is written in mathematical morphology of grayscale images and the source code of the binary image, do not use Matlab comes with function. Can achieve expansion, corrosion, and the opening and closing operation.)

基于matlab的图像分解重构的源码，基于matlab的图像分解重构的源码。。。(The reconstruction of the image decomposition based on matlab source code, the reconstruction of the image decomposition based on the matlab source code..)

遥感图像运用6S工具来进行大气辐射校正处理(Atmospheric Radiation Correction Processing Using 6S Tool for Remote Sensing Images)

一种基于彩色图像分割的余弦相似度的快速的谱聚类算法(A Fast Spectral Clustering Algorithm Based on Cosine Similarity for Color Image Segmentation)

线性插值射线追踪法，设置模型为一三层模型，范围100m×100m(Linear interpolation ray tracing method, set the model for a three-tier model, the range 100m100m)

一种改进的对比度分割算法。对红外图像有很好的分割效果。(an improved contrast ratio segmentation algorithm. The infrared image segmentation is a good result.)

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：  自己编写的基于直方图均衡化以及边缘增强的程序！(I have written based on histogram equalization and edge enhancement procedure!)

SVM支持向量机在图像分割中的应用，包含Matlab源代码和SVM所用函数。(SVM support vector machine applications, including image segmentation Matlab source code and functions used by SVM.)