pipeijiao

SIFT特征提取演算法(包含匹配以及除错机制RANSAC)-可用于两张影像之特征点匹配 (SIFT feature extraction algorithm (including the match, as well as debug mechanisms RANSAC)- can be used for two images of the feature points matching)

仿射投影符号算法是仿射投影算法和符号算法的组合算法，具有良好的抗冲击噪声的能力。(Affine projection algorithm is a combination algorithm symbol affine projection algorithms and symbolic algorithms, have good impact noise capabilities.)

说明：  全变分模型主要是依靠梯度下降流岁图像进行平滑处理的模型,希望在图像的内部对图像进行平滑,使得相邻像素的差值较小(The total variation model is mainly based on the gradient descent flow year image smoothing model, hoping to smooth the image inside the image, so that the difference between adjacent pixels is small)

说明：  MATLAB程序用于计算钢筋混凝土结构（梁，柱等）的非线性分析。(MATLAB program used to calculate the reinforced concrete structures (beams, columns, etc.) nonlinear analysis.)

ICA用于图像特征提取 通过定义一个衡量分量独立性和非高斯性的目标函数来实现的(ICA for image feature extraction components by defining a measure of independence and non-Gaussian nature of the objective function to be achieved)

说明：  结合模糊C均值聚类算法与水平集方法的图像分割代码，分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)

迭代CT重建血管，希望对大家能够有所帮助(Iterative CT reconstruction of blood vessels, we want to be able to help)

一幅大小为256×256的256级灰度图像（每像素8bit） 如果图像的各个像素之间是统计独立的，求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的，求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information entropy of the image is calculated Discrete memoryless source If each pixel of the image is not statistically independent, the information entropy of the image is calculated Probability distribution model of image pixels)

This extracts features images, that can be used to detect humans and objects.

说明：  一、课题介绍 本设计为基于MATLAB的火焰烟雾火灾检测系统。传统的采用颜色的方法，误识别大，局限性强。结合火焰是实时动态跳跃的，采用面积增长率，角点和圆形度三个维度相结合的方式判断是否有火焰。该设计测试对象为视频，通过下一帧和上一帧的差异发现是否有火情，并可发出语音报警。本设计带有一个人机交互式GUI界面，界面友好。是个不错的bishe选题。 二、算法流程 结合火焰的面积增长率，角点和圆形度三个维度综合判断。并且得出每帧图像火焰部分的该三个参数，实时显示在GUI上。 三、GUI界面设计(This design is based on MATLAB flame smoke fire detection system. The traditional method of using color has large error recognition and strong limitation. Considering that the flame is real-time and dynamic jumping, the area growth rate, corner and roundness are combined to determine whether there is flame. The test object of the design is video. Through the difference between the next frame and the previous frame, whether there is fire is found and the voice alarm can be sent out. This design has a personal computer interactive GUI interface, the interface is friendly. It's a good choice for BiShe.)