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说明：  概率潜在语义分析Probabilistic Latent semantic alnalysis，完整程序包(Probabilistic Latent Semantic Analysis Probabilistic Latent semantic alnalysis, complete package)

输入一幅图像，用传统的算子方法进行检测与用形态学腐蚀之后使原图像与腐蚀后的图像相减得到图像边缘进行比较(The Mathematical Morphology Image Edge Detection Based on MATLAB)

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.)

该程序能够实现图像的二值化，基于C语言的。实现的效果很好(The program to achieve a binary image, based on C language. Achieve a good effect)

分别使用灰度值变换和频域滤波的方法实现图像的伪彩色处理。在Matlab中编程实现(The use of gray value, respectively, transform and frequency domain filtering method of pseudo-color image processing. Programming in Matlab in)

实现基于四叉树分解的局部化互信息。参考文献：Image fusion performance metric based on mutual information and entropy driven quadtree decomposition(Compute the Image fusion performance metric based on mutual information and entropy driven quadtree decomposition.)

基于MALTAB实现的舌象纹理特征提取，程序不大但是使用(ongue like texture feature extraction matlab implementation tongue like texture feature extraction matlab implementation)

衡量图像去噪和SAR图像降斑效果的一些指标，psnr，snr，enl(enl（Equivalent number of looks）)

opencv图像处理程序，关于squares提取算法C语言实现(opencv image-processing program, About squares extraction algorithm C language)

使用统一资源定位符类URL实现文件下载，同时ImageIO也可以实现(class URL download file)