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1, Introduction 1 Introduction to LSB algorithm The full name of LSB is Least Significant Bit (LSB), which is a simple and effective data hiding technology. The basic method of LSB steganography is to replace the lowest bit of the carrier image with the secret information to be embedded. The high-order plane of the original image and the lowes ...

Write in front Why should machine vision be calibrated with a camera: the direct purpose is to obtain the internal and external parameters of the camera and the distortion parametersSo what are the use of these parameters: through camera calibration, this lens distortion can be corrected and the corrected image can be generated; Another pu ...

Recently, in order to complete the license plate recognition, I'm going to learn opencv. Here, I'll record the learning process and notes Image manipulation imread read image Use cv The imread() function reads the image. The image should be in the working directory or the full path of the image should be given. The second parameter is a ...

1, Foreword 1. Overview    pcl::PointXYZI in PCL is a data structure used to store xyz coordinates and intensity information. When CloudCompare is used to convert the point cloud in las format into pcd format, and then PCL is used to read the point cloud in pcd format, the intensity information can not be obtained (the intensity ...

catalogue 1, Background 2, Principle 1. Introduction to discrete Laplace operator 2. Laplace convolution 3. Introduction to solution of Possion equation III. verification IV. algorithm implementation in Python a. DCT solution 1. Define the function calMSE calculation error Mean Square Error 2. Import the original drawing and note the ...

1, Introduction 1 dark channel a priori image defogging method 1.1 light transmittance model Due to the scattering of light in propagation, only part of the radiation emitted from the light source can reach the receiving sensor, and the others are scattered into the propagation medium. Assuming that the scattered light intensity is linear with ...

1, Introduction to image denoising and filtering 1 image denoising 1.1 definition of image noise Noise is an important factor that interferes with the visual effect of image. Image denoising refers to the process of reducing noise in image. There are three kinds of noise classification: additive noise, multiplicative noise and quantization noi ...

This is a Demo project of image recognition and training based on spring boot + maven + opencvIt includes functions such as license plate recognition and face recognition, and runs through technical points such as sample processing, model training, image processing, object detection and object recognitionThere are relatively few deep learning ...

Analysis of KITTI data set The data acquisition platform of KITTI dataset is equipped with two gray cameras, two color cameras, a Velodyne 64 line 3D lidar, four optical lenses and a GPS navigation system. This session focuses on the lidar data part Introduction to KITTI dataset 1.KITTI is the largest computer vision algorithm evaluatio ...

32.OpenCV face detection and recognition - face detection preface   face detection refers to the process of locating faces in images. 1, Face detection based on Haar   use the Haar cascade classifier provided by OpenCV for face detection. The folder "\ data\haarcascades" in the OpenCV source code contains the t ...