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# Tag: image processing

### #005 Image Arithmetic and Logical operations in OpenCV with Python

Highlight: Hello and welcome to the sixth part of our OpenCV with Python post series. In this post we will cover some basic image arithmetic. You will learn how to perform some elementary arithmetic operations on images like addition and subtraction. In addition we will talk about logical bitwise operations (AND, OR, XOR, NOT). Also, we will see how we can implement these operations in some practical tasks in Python. For example, we will explain…

### #004 How to smooth and sharpen an image in OpenCV?

Highlight: In our previous posts we mastered some basic image processing techniques and now we are ready to move on to more advanced concepts. In this post, we are going to explain how to blur and sharpen images. When we want to blur or sharpen our image, we need to apply a linear filter. You will learn several types of filters that we often use in the image processing In addition, we will also show…

### #003 How to resize, translate, flip and rotate an image with OpenCV?

Highlight: In our previous posts we learned how to implement some simple functions that allow us to load, modify and draw some basic shapes on our input images. Now, when we have a solid foundation, it is time to dive deeper to our first image processing techniques. We should keep in mind these techniques because they are fundamental tools for almost all areas of computer vision. Therefore, a basic understanding of image processing is crucial…
Highlights: In this post we will learn about analysing a given image to find circles detected in that image. Tutorial Overview: Intro Detecting Circles with Hough Hough Transform for Circles Code 1. Intro In the previous post, we saw how we can detect and find lines on images using Hough Transform. Now let’s move to something just a little bit more complicated, circles. Let’s start with the equation of a circle:  ( x_{i}-a )^{2}+(…