fire-detection-technology

查询车辆油耗信息,根据车号,司机,日期等(Query the vehicle fuel consumption information)

分为行人检测，特征提取，行人跟踪三步，其中最主要的代码也是这个代码的中心是行人跟踪这一部分，我采用的是kalman滤波器进行行人下一帧位置的预测，可以很好的提高行人跟踪的鲁棒性，跟踪结果比较准确。(Into pedestrian detection, feature extraction, pedestrian tracking steps, which is the center of the main code of the code is pedestrian tracking this section, I kalman filter is used to predict the position of the next frame pedestrians, can be a good improvement pedestrian tracking robustness, tracking results more accurate.)

图像融合质量的标准差和信息熵的MATLAB代码,MATLAB代码(quality image fusion and the standard deviation of the information entropy MATLAB code, MATLAB code)

基于傅里叶变换的数字水印嵌入技术，可用于图像加密领域。(Based on the Fourier transform of the digital watermark technology )

在VS2012平台上利用C++语言和opencv实现对图像的分块，并保存分块图像(Using the C++ language and OpenCV to block the image on the VS2012 platform and save the block image)

说明：  该课题为基于MATLAB平台的PCA的人脸识别图像考勤系统。传统的人脸识别都是直接人头和人头的对比，现实意义不大，这块都做烂了，不易通过毕设答辩，而且论文不好写。该课题识别原理为：从一副生活照中寻找到人脸，并且分割人脸图象，利用PCA算法进行降维，和库里图片进行对比，输出目标人脸以及记录识别的时间，可以统计人脸打卡的当月次数，从而统计出勤率。该课题还可以继续二次开发，做成库内外人脸的识别，如果是库外人脸则实现报警。GUI界面有清除数据功能，统计工资等功能。(This project is based on the MATLAB platform PCA face recognition image attendance system. The traditional face recognition is the comparison of direct head and head, which is of little practical significance. This part is not easy to pass the final defense, and the paper is not easy to write. The recognition principle of this subject is: find the face from a living picture, segment the face image, reduce the dimension by PCA algorithm, compare with the library picture, output the target face and record the recognition time, and then count the number of times in the month when the face is punched, so as to count the attendance rate. The subject can also be further developed to make face recognition inside and outside the database. If it is outside the database, the alarm can be realized. The GUI interface has the functions of data clearing and salary statistics.)

对形图像的经过边缘提取后得到的二值图像边缘进行细化，提取单像素的边缘，使得边缘是成为清楚的单像素的边缘。(After images of the shape after the edge extraction of the binary image to refine the edge, the edge extraction of a single pixel, making the edge is to be clear of the edge of a single pixel.)

实现图像配准:线性保角变换，投影变换及仿射变换。(Achieve image registration: linear conformal transformation, projection transformation and affine transformation.)

说明：  小波变换图像增强，经过matlab6.0测试，放心可用(Wavelet image enhancement, after matlab6.0 testing, confidence can be)

demo中基本上整理了目前常用的所有边缘检测算子，并添加了自定义的frei-chen、kirsch、direcedge、PrewittCompass、RobinsonCompass边缘检测算子function函数。此外，还有Ruzon罗盘算子的matlab实现程序，能对灰度图像的边缘加以检测。(demo, basically compiled all the commonly used edge detection operator, and add a custom frei-chen, kirsch, direcedge, PrewittCompass, RobinsonCompass edge detection operator function function. In addition, there Ruzon compass operator procedures matlab realize, can be gray-scale image edge detection.)