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preface: Previously, I wrote an article about using opencv on nano. By default, the library of opencv is installed on nano. In addition to nano, we also want to use opencv to do some usual image processing verification on our own computers. Originally, I read some materials and installed them. I don't think it's necessary to write them. How ...

Abstract: This paper mainly explains the grayscale processing of image point operation, introduces the common grayscale processing methods in detail, and shares the mutual conversion of image color space and the implementation of three grayscale conversion algorithms. This article is shared from Huawei cloud community< [Python from zero t ...

It is used to wait for the key. When the user presses the keyboard, the statement will be executed and its return value will be obtained. When delay > 0, the program will wait for the user's key to trigger within a given delay time or wait for a delay time, and the program will continue to execute. If delay = 0, it means that the user must c ...

Effective Hybrid Genetic Algorithm (EHGA) STEP 1: input image Read image X ( i , j ) X(i,j) X(i,j), where i ...

Get and modify pixel values For color images, the value of a pixel in opencv represents the values of B, G and R of this pixel. Get pixel value import cv2 import numpy as np # Read picture img = cv2.imread("../data/image/1.jpeg",cv2.IMREAD_COLOR) #Get the pixel value (B,G,R) of row 100 and column 100 px = img[100,100] print(px) #Get the ...

youcans OpenCV learning course - 8 Frequency domain image filtering (Part 2) This series is for Python Xiaobai and explains the actual combat of OpenCV project from scratch. Image filtering is a common image preprocessing operation to suppress the noise of the target image while preserving the detailed features of the image as much as possible ...

summary This article briefly introduces the armor recognition of RoboMaster robot. The method is to select the armor plate area by using the lamp column as the identification through the edge detection method. In this blog, coordinate points will be provided for subsequent mecha debugging. Techniques used: color channel separation, Gaussian f ...

Completed today: [100 OpenCV routines] 100 Adaptive local noise reduction filter Celebration and change: Python white OpenCV learning class from scratch - 8 Frequency domain image filtering (I) Welcome to pay attention "100 routines" Series, continuously updating Welcome to pay attention "Python Xiaobai's OpenCV learning course ...

1, HOG characteristics HOG(Histograms of Oriented Gradients) gradient direction histogram 2, HOG feature extraction process 1) Gray image conversion (the image is regarded as a three-dimensional image of X, y and Z (gray); 2) Gamma correction method is used to standardize (normalize) the color space of the input image; At the same time, th ...

Implementation of Opencv image enhancement algorithm (histogram equalization, Laplace, Log, Gamma) | Chuan · Yen 1, Introduction Image enhancement algorithm is a process of image distortion, which is to highlight some characteristics of the response and facilitate our processing of the region of interest. Generally, there are four meth ...