Description: 火灾图像边缘检测和轮廓提取算法研究.pdf
基于火焰图像动态特征的火灾识别算法.pdf-Fire image edge detection and contour extraction algorithm. Pdf flame image based on the dynamic characteristics of the fire recognition algorithms. Pdf Platform: |
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Author:明明 |
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Description: 边缘检测算子及其在火焰图像中的应用, 对模式识别的朋友会很有帮助,拿来与大家分享-Edge detection operator and its image in the flame application of pattern recognition would be helpful to friends, used to share with you Platform: |
Size: 2742272 |
Author:meng fanrong |
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Description: 边缘检测算子及其在火焰图像中的应用, 对模式识别的朋友会很有帮助,拿来与大家分享!-Edge detection operator and its image in the flame application of pattern recognition would be helpful to friends, used to share with you! Platform: |
Size: 201728 |
Author:meng fanrong |
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Description: 基于图像识别算法的森林防火系统设计
传统的森林火灾监测技术包括人工护林监测、飞机航测、卫星监测等。本文提出一种基于普通CCD 摄像头和瞭望塔上现有
的短波无线通信设备的森林防火监测系统, 根据实时图像与参考图像的差分及小波分解结果, 当有异常情况发生时, 提取出火焰及
烟雾区域, 判断提取区域是否具有烟雾和火焰的动态特征。若判定发生火灾, 即将压缩后的图像通过短波通信设备传回指挥中心。-Image recognition algorithm based on forest fire prevention system designed to monitor forest fires, traditional technologies such as artificial forest monitoring, aircraft and aerial survey, satellite monitoring. This paper presents a general CCD-based camera and observation tower on the existing short-wave wireless communications equipment, forest fire monitoring system, based on real-time image and reference image and the wavelet decomposition of the difference a result, when there are unusual circumstances arise, to extract the flame and smoke region, to determine whether the extraction of regional dynamics of smoke and flame characteristics. Determine if the fire broke out soon after the image compression short-wave communications equipment through the center return. Platform: |
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Author:Jack |
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Description: 火灾视觉特征的提取是视觉火灾探测中的关键问题. 我们主要研究色彩、纹理以及轮廓脉动
等特征的提取,并提出一种度量轮廓脉动信息的距离模型,该模型在规格化的傅立叶描述子空间能
够准确地度量这种时空闪烁特征. 实验结果表明,该方法具有比较好的鲁棒性,有助于提高视觉火
灾探测的准确率、降低误报漏报率.-Based on investigating color , text ure and temporal feat ures for vision based fire detection , a
distance model of contour fluct uation between two successive f rames in t he normalized Fourier descriptor s
domain was presented to measure t his time varying contour fluct uation feat ure of flame. The model of
contour fluct uation is effective and robust for fire recognition. To f urt her reduce fal se alarms , several
features ext racted according to color , text ure and the distance model were toget her regarded as a joint
feature vector for artificial neural network to detect fire. Experiment s show t hat the algorithm is effective
and robust , and t hat it is significant for improving accuracy and reducing fal se alarms. Platform: |
Size: 819200 |
Author:陈卿 |
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Description: 火焰识别:可以应用于火焰识别小项目和课程论文等-Flame Recognition:Can be applied to flame identification papers and other small projects and courses Platform: |
Size: 2123776 |
Author:韦升文 |
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Description: BP神经网络的火焰图像温度检测方法是火焰识别技术中比较难理解的-The BP neural network s flame image temperature examination method is in the flame recognition technology comparison difficulty Platform: |
Size: 156672 |
Author:张伟 |
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Description: 火灾探测的一种模糊神经网络方法是我找了很好的关于火焰识别的一片-The fire surveys one fuzzy neural network method was I has looked very well about flame recognition one piece Platform: |
Size: 450560 |
Author:张伟 |
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Description: 火焰识别、此代码可以识别图片以及火焰,对光源有一定的抗干扰性,实现-fire、backgroud、Flame recognition source code、This code can identify the pictures, and flame light sources have a certain immunity to achieve Platform: |
Size: 2048 |
Author:王琦 |
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Description: 基于opencv的人识别算法的详细过陈和一些重要函数的详解。-Detailed opencv people over Chen recognition algorithm in detail and some important function-based. Platform: |
Size: 3072 |
Author:xingye |
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Description: 静态火焰识别demo,利用火焰的颜色作为判定条件-Static flame recognition using demo, the color of the flame as the judgment condition Platform: |
Size: 8865792 |
Author:千夜 |
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Description: 对火焰的特征进行总结,包括静态特征和动态特征,并对几种典型的火焰识别方法进行总结归纳-It summarizes the characteristics of the flame, including static and dynamic characteristics of features, and several typical flame recognition methods summarized Platform: |
Size: 584704 |
Author:wangN |
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Description: 利用matlab的对火焰图像进行分析和识别 同时给出相应的分析结果-Matlab use of flame image analysis and recognition at the same time give the corresponding analytical results Platform: |
Size: 17408 |
Author:于孟 |
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Description: 通过火焰的颜色识别火焰的位置,并在图片中标记出来,可以识别图片中的火焰和视频中的火焰-Flame recognition by color extraction. Can identify the position and mark out the flame, the flame can be identified in the picture and video Flame Platform: |
Size: 2379776 |
Author:jason |
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Description: 火焰特性提前的代码,很好用,对图像识别和后续处理有帮助。(Flame characteristics ahead of the code, very easy to use, for image recognition and follow-up processing helpful.) Platform: |
Size: 1024 |
Author:tompson007
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Description: 用vs2013 opencv3.0 实现了视频中火焰检测,test视频是打火机,和小火堆,都可以进行识别,是很好的颜色识别。(With vs2013 opencv3.0 video flame detection, test video is a lighter, and small fire, can be identified, is a good color recognition.) Platform: |
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Author:wzb-ws
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Description: 检测火灾,本课题为基于matlab的火灾检测识别,烟雾报警,火焰检测,通过几何参数判别,即面积增长率,角度等。完美运行。(Detection of fire, this topic is based on the MATLAB fire detection and recognition, smoke alarm, flame detection, through the geometric parameters, that is, area growth rate, angle and so on. Perfect operation.) Platform: |
Size: 833536 |
Author:wangdada2 |
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Description: 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 fire recognition system based on MATLAB. It can read video or image, detect whether there is smoke and flame. It has an interactive GUI interface with powerful function and accurate recognition. At the same time, it is equipped with corresponding operation instructions and operation effect diagram. Running GUI file directly can run perfectly. In addition, such as license plate, face, image defogging, compression, watermark, fatigue detection, number of people statistics, sound signal processing, etc. can do technology jiaoryu, welcome to discuss together.) Platform: |
Size: 12152832 |
Author:for Matlab |
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