Python cv2: How to Filter Image Pixels using OpenCV

To filter image pixels means you can convert the image from color to grayscale or add an extra layer to the image. To convert a  color image to a grayscale image, use cv2.cvtColor() method. We can then write the image to the disk using the  cv2.imwrite() function.

## app.py

import numpy as np
import cv2

img = cv2.imread('data.png', 1)

gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

Python  cv2.imread() function reads the image and 1 indicates reads in full color and then convert that image to gray scale using cv2.cvtColor() method.

Python cv2: How to add a new channel in the image

To add a new channel in of transparency, first, divide the original image into three channels and then use the cv2.merge() function and pass the fourth channel as the fourth parameter.

## app.py

import numpy as np
import cv2

img = cv2.imread('data.png', 1)

b = img[:, :, 0]
g = img[:, :, 1]
r = img[:, :, 2]

rgba = cv2.merge((b, g, r, g))
cv2.imwrite('rgba.png', rgba)

In this code, if you look carefully to merge() method, I have passed four arguments: b, g, r, g.

The fourth g is the fourth layer of the image. By adding the fourth layer, we have filtered the image. The original image is the following.

#python #python cv2 #opencv #cv2.cvtcolor

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Python cv2: How to Filter Image Pixels using OpenCV

Python and OpenCV: Apply Filters to Images

I am pretty sure you have tried out various filters available on the social platforms and your camera as well.

Today in this tutorial, we will be applying few of the filters to images. Exciting right?

Let’s begin!

Table of Contents

1. Importing Modules

2. Loading the initial image

#python programming examples #python and opencv: apply filters to images #apply filters to images #python and opencv #opencv #filters to images

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Python Imread(): Different Ways to Load an Image using The OpenCV.imread() Method

In this tutorial, we will learn how to use imread() method of OpenCV-Python in detail and different ways to load an image using imread() method.

Table of Contents

What is Python imread()?

Importing OpenCV to use Python imread()

Syntax of the Python imread() method

Image formats supported by Python imread() method

#python modules #opencv-python #python imread() #opencv.imread() #python imread(): different ways to load an image using the opencv.imread() method #load an image

Python cv2: How to Filter Image Pixels using OpenCV

To filter image pixels means you can convert the image from color to grayscale or add an extra layer to the image. To convert a  color image to a grayscale image, use cv2.cvtColor() method. We can then write the image to the disk using the  cv2.imwrite() function.

## app.py

import numpy as np
import cv2

img = cv2.imread('data.png', 1)

gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

Python  cv2.imread() function reads the image and 1 indicates reads in full color and then convert that image to gray scale using cv2.cvtColor() method.

Python cv2: How to add a new channel in the image

To add a new channel in of transparency, first, divide the original image into three channels and then use the cv2.merge() function and pass the fourth channel as the fourth parameter.

## app.py

import numpy as np
import cv2

img = cv2.imread('data.png', 1)

b = img[:, :, 0]
g = img[:, :, 1]
r = img[:, :, 2]

rgba = cv2.merge((b, g, r, g))
cv2.imwrite('rgba.png', rgba)

In this code, if you look carefully to merge() method, I have passed four arguments: b, g, r, g.

The fourth g is the fourth layer of the image. By adding the fourth layer, we have filtered the image. The original image is the following.

#python #python cv2 #opencv #cv2.cvtcolor