guiyihuachengxu

A fast matching algorithm based on image gray scale, in PDF format, good

说明：  噪声估计法，先定位噪声点，再实行去噪处理(Noise estimation method, first locate the noise points, then implement denoising.)

说明：  性能上比经典分水岭有很大的提高。特别对于自然图像的分割，效果特别好。(Performance than the classical watershed have greatly improved. Especially for natural image segmentation, the effect particularly good.)

说明：  基于高光谱数据集PaviaU的数据降维与分类,基于核函数的主成分分析kpca测试(Dimension reduction and classification based on hyperspectral data set paviau, KPCA test based on kernel function principal component analysis)

采用最小交叉熵，最大熵，OTSU阈值分割(Using minimum cross entropy, maximum entropy, OTSU thresholding)

目标跟踪，使用基于颜色特征的粒子滤波跟踪算法。使用方便，较精确的实现目标跟踪功能(Target tracking using particle filter based on color feature tracking algorithm. Easy to use, more accurate tracking goals)

使用matlab分析传统光学系统加入三次相位掩模板之后对中间像进行图像复原(Analysis using matlab conventional optical system after adding three phase mask image on the intermediate image restoration)

SUIF help info, SUIF is a project developed by Monica S. Lam

图像匹配经典事例。ssda和mad匹配算法。(ssda mad)

利用形态学分水岭算法对图像进行分割，对细胞图像能达到较好的分割效果(Using morphological watershed algorithm for image segmentation, the cell image segmentation can achieve better results)