For example, we can make each pixel be the average of a 2×2 matrix/array/kernel of neighboring pixels or a 5×5 matrix/array/kernel of neighboring pixels. The matrix/array of pixels involved in the averaging operation is called a kernel. The intensity of a pixel is reduced by finding the average value of the pixels around a fixed border of that particular pixel. With blurring, we attempt to reduce the brightness/sharpness of an image by reducing the intensity of all pixels. Due to these colors, the human eye can easily tell one object or portion of the image, from another. An image in its standard form may have several pixels that reflect the brighter colors of the color spectrum, therefore, making the image appear colorful. In image terminology, noise refers to the pixels that give an image brightness and color variation- when we apply the blurring technique to an image, we are attempting to smoothen out or remove the pixels that make the image appear bright sharp/clear, hence making the image appear fuzzy and unclear to the human eye.įrom our previous articles, we learned that OpenCV represents an image in the form of a NumPy array that comprises integer values representing the intensity of a particular pixel. Let us first talk about blurring- As most of us know, when an image is a blur, we can’t, or are unable to, see the image clearly. Alternatively, you may save the image found below To facilitate this learning experience we will use an image that may be downloaded at this link. This article will aim to introduce us to, and teach us the technique of an interesting concept known as blurring an image. Article 6 : Advanced OpenCV and NumPy Operations: Cropping, Copying, And Pasting.Article 5: Beginner’s Guide to Python OpenCV Operation: Rotation.Article 4 : Some Advanced OpenCV Functions For Computer Vision Project Continued.Article 3: Some Advanced OpenCV Operations For Your Computer vision Project.
Article 2: Performing Computer Vision Task With OpenCV And Python.Article 1: An Introduction to Computer Vision With OpenCV.If you have not read through my previous articles and would like to do so, kindly navigate to the following hyperlinks: Up to this point in our OpenCV Tutorial, we have gained a notable level of insight into the methods and techniques of the OpenCV package in the Python Programming Language. This article was published as a part of the Data Science Blogathon Introduction.
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