dftfilt

对任意一副灰度图像进行拉普拉斯金字塔分解。(For any gray-scale image of a Laplacian pyramid decomposition.)

说明：  自己用python复现的NL-mean去噪，备注比较详细，便于理解原理； 之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle. We will try to reproduce more classical papers in the field of image.)

一种新的彩色图像去噪与增强模型(A new color image denoising and enhancement model)

人类视觉系统的matlab工具箱，包括亮度掩膜，对比度掩膜和对比度灵敏度函数的实现。是学习人类视觉系统非常好的入门材料。()

ASM和AAM功能的合集，是一个外国人开发的工具箱，需要addpath，已试过可用，(ASM and AAM function of the collection is a foreigner development toolbox need the addpath, have tried available)

利用彩色图像的处理方法和数学形态学方法，编程计算荔枝果实的质心点的图像坐标(The use of color image processing method and mathematical morphology, image coordinates programmed to calculate the centroid of litchi fruit points)

基于数字图像处理，实现一个公路交通标志（限速）分割和识别的仿真系统。要求系统具有界面并实现以下功能： 1）读入交通标志图像； 2）预处理及交通标志定位； 3）多种图像分割功能； 4）形态学滤波等功能； 5）对标志中的数字进行识别。(Based on digital image processing, a road traffic sign (speed limit) segmentation and recognition of the simulation system. Interface and require a system with the following functions: 1) read the traffic sign 2) pre-processing and traffic signs positioning 3) a variety of image segmentation functions 4) morphological filtering and other functions 5) to mark the numbers Identification.)

利用相位相关法实现了图像的匹配，这种方法的优点是提取速度快，方法简单，运算量少。(Using the phase correlation method to realize the image matching, the advantage of this method is the extraction method is simple, fast, less computation.)

针对分水岭算法存在的过分割问题以及VCH-F1切片图像的特点，提出一种能够有效消除局部极小值和噪声干扰的自动分割方法。首先比较彩色分量梯度图，选择分量图像的梯度信息，达到有效提取图像边缘信息的目的；然后提出基于多阈值分割的方法消除无效梯度信息；最后介绍了算法的步骤及结果。实验结果证明，通过该方法处理的梯度图像再进行分水岭算法处理，即使不进行区域合并也能达到很好的效果。(Watershed algorithm for over-segmentation problem of the existence of VCH-F1 as well as the characteristics of the image slice, a can effectively eliminate the local minimum value and noise automatic segmentation method. Comparing the first color component gradient map, select the quantity of image gradient information, achieve an effective extraction of image edge information purposes then made based on multi-threshold segmentation method to eliminate invalid gradient information Finally introduce the steps of the algorithm and results. Experimental results show that the adoption of the method of treatment of gradient watershed algorithm for image re-treatment, even if there is no regional merger will also achieve good results.)

the blink eyes tracking