image-segmentation

Matlab源代码 Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision (IJCV), vol.77, no.1-3, pp.125-141, 2008.(Matlab source code for Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision (IJCV), vol.77, no.1-3, pp.125-141, 2008.)

主要是利用对比增强来处理图像 利用了模糊集以及模糊熵理论 (The main use of contrast enhancement to the image processing using fuzzy sets and fuzzy entropy theory )

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.)

说明：  基于背景差分法和帧间差分法的目标跟踪 应用了二维滤波，效果较好(Based on background difference and frame difference method applied to two-dimensional target tracking filter, better)

用Matlab实现的Canny边缘检测算法，压缩文件中附有一张实验图片(Using Matlab realize the Canny edge detection algorithm, compressed file attached to an experimental image)

用于脸部识别时，使用基于像素和区域的图像特征核的稀疏表示的识别算法。(When used in face recognition using image recognition algorithm based on feature pixel and regional nuclear sparse representation.)

基于小波变换的利用阈值法迭代法的图像分割技术(Wavelet Segmentation of the iteration method)

raw 数据转换成plant 的yuv 数据，已经测试通过。希望对raw数据进一步处理的同学有帮助。( Raw data is converted into YUV plant data, has been tested through. Hope that the raw data to further deal with the students to help. )

SVM分类用于高光谱遥感图像分类、预测....................(SVM classification for classification and prediction of hyperspectral remote sensing images)

图像变换检测 主成分分析法 含PDF介绍(iamge change detection using PCA)