Highlight: This post can come as a very interesting and surprising one. You will see how we can apply a machine learning algorithm on the pixel intensity color with a so-called K-means clustering algorithm. In this way, we would be able to create a compressed version of our image that will have much fewer colors. The picture will be preserved in a lower color resolution, whereas the number of pixels will remain the same. This…
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Highlights: Researchers and computer vision practitioners have generally developed many face detection algorithms. In this post, we will use 5 of the most popular algorithms. Also, we will compare their detection accuracy rate. Additionally, we will measure the runtime of these algorithms. Facial detection is a technique used by computer algorithms to detect a person’s face through images. Accordingly, the objective of facial detection is to get different features of human faces from images. Due to…
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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…
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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…
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