lenaentropy

atrous NSCT图像融合算法 可直接使用 带有实验测试图(atrous NSCT image fusion )

灰度共生矩阵 图像纹理特征提取 matlab语言编写(GLCM texture feature extraction matlab language)

运用图聚类实现SAR图像的分割，效果明显，程序简洁。(the segmentation of SAR)

LBP（局部二值模式）特征提取，用于人脸识别，(LBP feature extraction for face recognition. . .)

散点图数据输入，绘制，输出整个过程， 对于文章出图很有帮助。(Scatter plot data entry, rendering, output the entire process, the article showing helpful.)

奇异值分解等方法对噪声进行去噪，算法简单，清晰易懂(Singular value decomposition method to noise denoising algorithm is simple, clear and easy to understand)

在成像平台运动的情况下通过对因为平台运动的补偿实现目标运动信息获取(Imaging platform in the case of movement of movement as a platform to achieve the objectives of the compensation information acquisition campaign)

基于SIFT的一种新特征点匹配算法,比SIFT还强,(Based on SIFT feature points of a new matching algorithm is also stronger than the SIFT,)

经典的张正友摄像机标定算法源码,实验图片及实验数据(Zhengyou Zhang classic camera calibration algorithm source code, experimental pictures and the experimental data)

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)