ICA

数字全息图聚焦评价函数,当图像聚焦时，评价函数值会达到最大值(the auto-focusing evaluation function of the digital hologram)

说明：  图像分块处理和计算图像灰度平均值的算法，可用于路面识别预处理(Average value of image block calculation)

本次变成是基于matlab的有关图像压缩的仿真程序，希望能帮到大家(This is a simulation program of image compression based on MATLAB. I hope to help you.)

分形算法中的分形维数的源代码(Fractal dimension)

基于物体灰度图像的物体三维形状恢复，修改图形路径和光源方向即可(Based on the three-dimensional shape of the object to restore the object grayscale image, modify the graphics path and direction of the light source can be)

说明：  图像融合可以用的PCNN工具箱，可以使用在图像融合里(PCNN Toolbox for Image Fusion)

隐马尔科夫工具箱,设置路径后直接使用。在MATLAB中实现。(Hidden Markov toolbox, set path directly. Implemented in MATLAB.)

matlab实现的基于高斯光流法的图像配准(matlab implementation of optical flow method based on Gaussian image registration)

EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤： （1）采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波，去除噪声； （2）采用一种常用的梯度算子，如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向； （3）将梯度图中邻域内幅度最大的像素点标记为锚点，这些锚点成为图像边缘点(edge elements)的概率很大； （4）将相邻的锚点连接成边缘线。从一个锚点起始，ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。 (Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of the other edge detectors requires urther processing to generate potential object boundaries, which may not even be possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)

从键盘读取输入信息，并绘制最终的高斯函数。(Read from the keyboard to enter information, and rendering the final Gaussian function.)