xiaobogaijin-(1)

【实例简介】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。

说明：  高斯尺度差角点检测算法 将轮廓曲线在不同尺度下的演化差异的变化量作为角点响应函数并提出相应的 DoG 检测算子(Gauss scale difference corner detection algorithm)

在尽可能好的代表原始数据的前提下，PCA通过线性变换将高维空间中的样本数据投影到低维空间中。(In the best possible on behalf of the original data, under the precondition of PCA through linear transformation in the high-dimensional space sample data projection to low dimensional space)

该文件包含与以下文件相关的代码： Y.Liu和Z.Wang具有自适应稀疏表示的同时图像融合和去噪(This package contains the code which is associated with the following paper: Y. Liu and Z. Wang Simultaneous image fusion and denoising with adaptive sparse representatio)

说明：  相关图像算法包括大律法分割，梯度分割，分水岭分割，活动轮廓，最小生成树，相关基因算法(Great Law Segmentation, Gradient Segmentation, Watershed Segmentation, Active Contour, Minimum Spanning Tree, Related Gene Algorithms)

基于CFA（颜色滤波阵列）插值检测的图像篡改检测程序(Image tamper detection based on CFA (color filter array) interpolation detecting.)

基于matlab的图像小波融合测试程序，选取四副位图文件为对比(Matlab wavelet-based image fusion test program)

能针对二值图像进行曲线的提取. 对于背景不太复杂的图像，效果可以。 只针对单像素(extract curve from binary image only for single pixel line.)

脉冲压缩技术是匹配滤波理论和相关接收理论的一个很好的实际应用。它的提出很好的解决了这样的一个问题：在发射端发射大时宽、带宽信号，以提高信号的速度测量精度和速度分辨力，而在接收端，将宽脉冲信号压缩为窄脉冲，以提高雷达对目标的距离分辨精度和距离分辨力(Pulse compression technology is a good practical application of matched filtering theory and related receiving theory. It solves such a problem very well: transmitting large time-width and bandwidth signals at the transmitter to improve the speed measurement accuracy and speed resolution of the signal, and compressing the wide pulse signal into narrow pulse at the receiver to improve the range resolution accuracy and range resolution of radar to target.)

说明：  利用非局部均值的算法对图像做去噪，速度比较快，但效果一般，存在一定局限性(Using non-local mean algorithm to denoise image is faster, but the effect is general and there are some limitations.)