recall_precision

适合初学小波的同志，小波图像增强原理底层。严格高低频分解重构，没有使用小波工具库。(Suitable for beginners wavelet comrades, the underlying principle of wavelet image enhancement. Strict high-low-frequency decomposition of reconstruction, did not use the wavelet tool library.)

应用于计算机视觉领域，运用单应性矩阵信息将两幅图片合成为一张(Used in the field of computer vision, using homography information will be combined into a two picture)

一个非常简小灵便的DICOM文件阅读器,支持多种格式的文件，支持图片的大多数编辑功能。(A very simple and handy DICOM file reader supports multiple formats of files and most editing functions of pictures.)

此程序在时域中进行阈值去噪，基于平均阈值的去噪方法(This procedure carried out in the time domain threshold denoising, based on the average, the threshold de-noising method)

说明：  图像处理，运动放大，视频代码展示，以及输出结果(steerable pyramid algorithm)

说明：  利用那些已经被破坏的区域的边缘， 即边缘的颜色和结构，根据这些图像留下的信息去推断被破坏的信息区的信息内容，然后对破坏区进行填补 ，以达到图像修补的目的(Using the edge of the damaged area, i.e. the color and structure of the edge, the information content of the damaged information area can be inferred from the information left by these images, and then the damaged area can be filled to achieve the purpose of image repair.)

说明：  思想：把原始图的直方图变换为均匀分布的形式，这样就增加了灰度值的动态 范围从而达到增强图像整体对比度的效果。其优点是能自动地增强整个 图像的对比度。 1、对灰度图像进行直方图的均衡化处理，达到图像增强的目的。 2、利用平均滤波和中值滤波对图像进行平滑滤波。 3、利用拉普拉斯运算对图像进行锐化滤波。(Idea: transform the histogram of the original image into the form of uniform distribution, so as to increase the dynamic gray value Range to enhance the overall contrast of the image. Its advantage is that it can automatically enhance the contrast of the whole image. 1. The gray image is processed by histogram equalization to achieve the purpose of image enhancement. 2. Average filter and median filter are used to smooth the image. 3. Using Laplace operation to sharpen the image.)

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.)

机器视觉手册，讲解详细，非常实用，从基础图像处理算法到复杂视觉算法(handbook of machine vision， very practical， including basic image processing and vision algorithm)

说明：  输出带连接点的匹配影像，基于opencv(Output matched image with connection points, based on OpenCV)