热电厂工程电气主接线

线性反投影算法（Linear Back Projection，简称 LBP）又称累加法，是最早使用的一种简单（ECT图像重建）成像算法。它将通过某点的所有投影射线进行累加，再反向估算出该点的密度值。从成像观点分析，它是不完全的雷登逆变换（完整的雷登逆变换包括微分、希尔伯特变换、反投影和归一化等步骤）。(Linear back projection algorithm (Linear Back Projection, referred LBP), also known as cumulative method, is the first to use a simple (ECT image reconstruction) imaging algorithms. It accumulates all projection rays through a point, then reverse the estimated density value of the point. From the image point of view analysis, it is not exactly the inverse transform Leiden (Leyden complete inverse transformation involving differential Hilbert transform backprojection and normalization steps, etc.).)

行人目标检测 代码文件基于hog+svm检测技术。(people dectect and depending on hog+svm )

说明：  全景图像拼接的源代码，可将多幅照片拼接为周视全景图像，很不错。(Panoramic image mosaic of the source code, multiple photos can be spliced for the week as the panoramic image, very good.)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)

求解SVM问题的一种高效算法,每次更新两个a()

基于灰度共生矩阵的纹理特征提取，输出为图像四个方向共十六个特征值(Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues)

一个matlab处理海量数据的优化方法和源代码,不错的源码 很好(A handle huge amounts of data optimization method and matlab source code, a good source is very good)

说明：  基于BP网络的印刷体数字识别技术的完整案例，对图像处理及其BP神经网络付有完整的程序，并可以允许，同时还附有大量的测试图片(Digit recognition technology integrity cases, right image processing and neural network BP to pay the full process and allows, but also with a large number of test pictures)

说明：  用log算子做边缘检测的matlab源程序(log Operators do edge detection Matlab source)

可以实现在matlab中画箭头的功能，只要给定起始点(this program can plot arrow,using the start and end point)