watermark

说明：  二维功率谱密度计算程序 使用傅里叶变换，可以计算功率谱密度(Two dimensional power spectral density calculation program using Fourier transform)

图片不规则变形源码，例程程序根据图片的计算，使用画板使图片不规则变形。(Pictures irregular deformation source , routine procedures according to the calculation of the picture, using the drawing board to make the image irregular deformation.)

visualC 数字图像模式识别与技术详解，书籍源码部分。(visual C digital image pattern recognition and techniques detailed books source parts.)

由多光谱图像的3个波段构成的RGB分量经IHS变换后，可将图像的空间特征(，)和光谱特征(H、S)分离(From multi-spectral image consisting of three-band RGB components by the IHS transform, may be characteristic of the image space (,) and spectral characteristics of (H, S) Separation)

对监控视频中的目标进行识别，提取背景信息(The target in the surveillance video is identified and background information is extracted)

读取jpeg图片数据并输出到txt文本中，再从txt文本中读取数据生成图片(Reading image data and outputs to txt, and then read the data generated image txt text)

运用fisher方法进行pca降维和Lda特征提取的人耳识别。(Use fisher method Lda PCA dimensionality reduction and feature extraction to identify the human ear.)

进行基于绝缘子边缘检测与提取,能识别绝缘子裂纹的故障,通用性蛮好(Insulator-based edge detection and extraction, to identify cracks insulator failure, versatility fine)

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.)

利用opencv高斯混合背景建模，并进行开闭运算滤波， 提取视频监控中的车辆(Using opencv Gaussian mixture background modeling and opening and closing operation filtering to extract vehicles in video surveillance)