levelsetcode

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.)

MATLAB版小波分析小程序，能有效去除图像中噪声(MATLAB version wavelet analysis applet can effectively remove the image noise)

实现数字图像的灰度范围的线性拉伸，对变换结果进行必要的分析，画出灰度变换曲线图，以另一个文件名形式保存灰度变换后的图像。(Achieve linear range of the gray range of digital images)

一种最新的点云邻域尺寸的选择方法，对点云后续处理，包括特征提取、点云分类等有很大的帮助(One of the latest point cloud neighborhood size selection method for point cloud subsequent processing, including feature extraction, point cloud classification is very helpful)

关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)

图像处理的查准率和查全率的代码，适合用于图像图像的检测，目标的检测的评估(Image processing precision and recall rate code)

一种利用图像中直线特征的方法来标定摄像机畸变参数的方法。该方法提取图像中多组不同方向的平行直线，并对其利用非线性最小二乘方法进行优化以得到最优的畸变参数，在优化过程中，采用多步渐进的策略。该方法不需要已知三维世界坐标，易于实现。实验表明，该方法有较高的准确率。(A camera lens distortion method is proposed, which uses the straight line features. Many parallel lines of different direction were extracted, and then were used to optimize the distortion parameters by nonlinear least square. The thought of step by step was added when the optimization method working. 3D world coordination is not need to know, and the method is easy to implement. The experiment result shows its high accuracy.)

此代码为运用brovery进行像素层的融合，主要用于图像处理中的图像融合(This code is applied brovery the pixel level fusion, mainly for image processing of image fusion)

图像金字塔分解，输入一幅图像，以及需要分解的层数，可以输出图像的金字塔分解(Image pyramid decomposition)

自编图像处理M文件，经过图像增强滤波去噪二值化，边缘提取，实现对图片内物体的生产标准监测(Self image processing M-file, and after image enhancement filter denoising binarization, edge extraction, the production of objects within the picture of standard monitoring)