watershed3

运用Soble,,Roberts算子,Prewitt算子,Log算子,Canny算子j进行边缘检测 (Using Sobel ,, Roberts operator, Prewitt operator, Log operator, Canny edge detection operator )

说明：  可完成对MODIS09GA数据的批量格式转换与裁剪(Batch format conversion and clipping of modis09GA data)

图着色问题（Graph Coloring Problem, GCP）又称着色问题，是最著名的NP-完全问题之一。路线着色问题是图论中最著名的猜想之一。(Graph coloring problem (Graph Coloring Problem, GCP), also known as coloring problem, is the most famous NP-complete problems. Line graph coloring problem is one of the most famous conjecture.)

在目标图像中找出已经给出的训练图像。通过训练训练图像得到参数，来找出目标图像中的训练图像(Has been given in the target image to identify the training image. TRAINING image parameters to identify the training images of the target image)

PCL库的C#封装，用于点云的处理，包括点云读取，显示，分割，分类，聚类等(C# wrapper of point cloud library.)

Continuous Birdsong Recognition Using Gaussian Mixture Modeling of Image Shape Features

crimini算法对图形进行修复，您能够充分的利用空间信息，纹理信息(crimini graph algorithm to repair, you can take full advantage of the spatial information, texture information)

含有Matlab的各种程序和代码，包括图像分割、模式识别、文字识别等。并且含有初学者入门的代码。(Matlab contains the various procedures and code, including image segmentation, pattern recognition, text recognition. And contain the code entry for beginners.)

提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)

近期成果，与大家分享：奇异值分解、小波降噪、zoom细化 谱峭度 和滤波器设计，共勉(Recent achievements to share with you: singular value decomposition, wavelet noise reduction, zoom refined spectral kurtosis and filter design, encouragement)