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Catalog Preface Project Description Project structure Data preparation Magic Change Code summary Preface According to another article of mine: How to Beautify Photos, DPED Machine Learning Open Source Project Installation Use | Machine Learning_ Alan's Blog - CSDN Blog The DPED project was found to require commanded execution and a ...

0 Introduction Recently, I was helping a student with a Chinese character recognition project. The senior recorded and released some project related knowledge bases and partial implementations here. Welcome to discuss and learn Chinese character recognition based on deep learning Bi design help, problem opening guidance, technical soluti ...

Image histogram for image processing What is image gray histogram? What is histogram equalization? What is histogram specification? Gray level histogram: mathematically speaking, the image histogram describes the statistical characteristics of each gray level of the image. It is a function of the gray value of the image and counts the number o ...

preface In blog Opencv Python practice (4) -- common OpenCV image processing technologies( ❤️ 10000 word long text, including a large number of examples ❤️)> As described in, you can apply CV2. Bilaterfilter () To reduce noise while retaining sharp edges. However, this filter will produce ladder effect and false edges in the filtered im ...

The following links are the shortcomings of this series of articles, which can be discussed in the comments area: Series articles   corresponding column of this article Explain DICOM protocol from zero - imaging protocol Articles in Analysis of DICOM imaging protocol and Implementation of DICOM imaging protocol , it is recommended to read ...

introduction 1, Results 1.1 reading images 1.2 after blob analysis 2, Halcon code * * bottle.hdev: Segment and read numbers on a beer bottle * * Step 0: Preparations * Specify the name of the font to use for reading the date on the bottle. * It is easiest to use the pre-trained font Industrial_0-9_NoRej. If you * have run ...

11. HighGUI graphical user interface 11.1 creation and use of slider 11.1,1 create slider: createTrackbar() function The createTrackbar function is used to create a slider with adjustable values: int cv::createTrackbar(const cv::String &trackbarname, const cv::String &winname, int *value, int count, cv::TrackbarCallback onChange = ( ...

1. Image digitization 1.1 Mat class in initial OpenCV 1.1.1 initial Mat The constructor of Mat class is as follows: Mat(int rows, int cols, int type) Where, type represents the type, including the number of channels and their data types. CV_8UC(n): uchar type occupying 1 byte CV_8SC(n): char type occupying 1 byte CV_16UC(n): ushor ...

   1 point operation    features: the input image and output image are point-to-point copy operations. In this copy process, the gray value will be converted. This conversion operation can be linear or nonlinear. It can be expressed as:    application: contrast enhancement, contrast stretching, image gray translation ...

1. IO operation of image Here we will introduce how to read images, how to display images and how to save images. 1.1 reading images API: cv.imread() Parameters: Image to readFlag of reading mode cv.IMREAD_COLOR: when loading an image in color mode, the transparency of any image will be ignored. This is the default parameter.cv.IMR ...