Image Processing

In image processing, a histogram is quite an important tool. It provides us a graphical representation of the intensity distribution of an image. On the x-axis, it contains the pixel values that range from 0-255, and on the...

Morphological transformations are those non-linear operations that are based on image shape. They require an input image and a structuring element. Moreover, they return an output image after applying the structuring element on the input image. Morphological operations...

Thresholding is another main topic in image processing and computer vision. It is used in image segmentation, i.e., separating the foreground from its background. In this article, we will look at different thresholding techniques and how they are...

Image blurring or smoothing is quite an important topic in image processing. When we blur an image, the details in it get reduced. Image blurring has many applications. For example, you must have observed some people or things...

In our previous article of this series, we learnt about Arithmetic and Bitwise Operations on Image. In this article we are going to discuss on Geometric Transformations.Geometric transformations such as scaling, translation, and rotation are quite important and...

In the last article we learnt about Color Spaces and Conversion. In this article, we are going to learn how to apply Arithmetic and Bitwise Operations on Image in Python using OpenCV library. First, let’s go through the...

In this article, we are going to learn different color spaces and how to convert from one color space to another using Python OpenCV. So, let’s get started. Color Spaces Color spaces are a way of representing colors...

In this series of articles, we will learn about Image Processing in Python. We will use the OpenCV (Open Source Computer Vision) library for that purpose. It provides numerous functions to perform image processing and real-time computer vision....