搜索资源列表
GaussBackGroundModel
- 最基本的混合高斯背景建模matlab源代码，本人用于火灾烟雾检测的毕设代码，已运行成功，很好的检测运动目标的算法。-Effective Gaussian mixture learning for background model to detection moving goal.
Smokeimagesegmentation
- 对烟雾图像进行分割 进一步分割烟雾区域 达到想要的效果-Image segmentation of the smoke further divided the region to achieve the desired effect of smoke
frequent
- 烟雾区域的上中下三部分，三部分变化速度是从小到大；Matlab仿真实现烟雾这一特征；-Smoke on the middle and lower regions of three parts, three parts of the rate of change is small to large Matlab Simulation of the characteristics of smoke
Transparent
- 烟雾具有半透明性，本程序是基于小波变换的烟雾半透明性的仿真；代码+图片！-Smoke with the translucency, the procedure is based on the wavelet transform of the simulated smoke translucent code+ pictures!
smokeseg
- 基于matlab工厂烟雾分割程序，付图片 -Segmentation procedure based on matlab factory smoke, pay picture
sy3
- 烟雾检测， 烟雾检测， 烟雾检测，-Smoke detection
BP1_txt
- 利用BP分类器对烟雾图像进行识别，并将结果存储到TXT文档中。-BP classifier use smoke image recognition, and stores the result TXT document.
smoke
- 基于processing（java同语言）的平面流体烟雾运算，使用受力网方法-well ，you must know the Chinese DT
smoke_inspect
- 一种用于烟雾检测的matlab例子，需要读取一段烟雾视频，然后运行程序会自动标识-matlab somke inspect
smokedetection
- 用VS2010和OPENCV编写的关于视频烟雾检测的程序，运行效果很好-With VS2010 and OPENCV prepared on the video smoke detection procedures, running very well
smoke
- 使用opencv进行烟雾检测，数据集和代码都在里面，可以直接跑(smoke detection with opencv)
Matlab火焰烟雾检测(GUI)
- Matlab火焰烟雾检测(GUI) 本设计为基于matlab的烟雾火焰火灾识别系统，可读取视频或者图象，检测出是否有烟雾火焰，具备一个人机交互式GUI界面，功能强大，识别准确，同时配备相对应的操作说明和运行效果图，直接运行GUI文件即可完美运行。另外，诸如车牌，人脸，图象去雾，压缩，水印，疲劳检测，人数统计，声音信号处理等均可做技术交琉，欢迎一起探讨。(Matlab flame smoke detection (GUI) This design is a smoke and flame fi
smoke
- 用于识别火灾烟雾 , 火灾先有烟雾后有火, 监测烟雾比监测明火重要的多. 本数据集含有图片400多张, 包括标注好的txt文件, 可以直接用于yolo训练.(Used to identify fire smoke, fire smoke first and then fire, monitoring smoke is more important than monitoring open fire. This data set contains more than 400 pictures,
MATLAB火焰烟雾检测[基于颜色，注释详细]
- 此课题在MATLAB基于颜色进行火焰或者烟雾的检测,先定位出火焰或者烟雾的位置,然后进行识别(This topic in Matlab based on color detection of flame or smoke, first locate the location of flame or smoke, and then identify)