Tag: image processing
What is histogram equalizer? How does it work?
Histogram Equalizer is a computer vision technique that adjusts the luminosity levels of an image to make it more visually appealing. Histogram equalization is a process that lets us take an image and adjust the brightness levels so that each pixel in the image has a similar level of illumination. It does this by mapping…
Read MoreImage processing using Machine Learning
We begin this chapter by examining a number of of the foremost image process algorithmic rule, then march on to machine learning implementation in image processing. The chapter at a look is as follows: Feature mapping using the scale-invariant feature transform (SIFT) algorithmic rule Feature Mapping using the SIFT algorithmic rule Suppose we’ve 2 pictures.…
Read MoreAdvance image processing using OpenCV
Blending two images Suppose you have two images and you want to blend them so that features of both images are visible. We use image registration techniques to blend one image over the second one and determine whether there are any changes. Let’s look at the code. Let’s look at some of the functions used…
Read MoreImage processing with Scikit-image
Scikit image is a module that is used to do introductory image processing. Before we start let’s look at the description of a module. A module is a collection of a Python lines, classes, or functions. We can save complex and lengthy code inside different lines. To do this, we need to import files and use them…
Read MoreHow the Media Uses Image Processing to Enrich Visual Content?
The media industry is one of the most competitive industries today. The competition is so fierce that it has forced companies to come up with new ways of attracting their audience. One way they have been able to do this is by adding visual content to their articles. The use of image processing software has…
Read MoreWhat are the Practical Uses of Image Processing in the Medical Industry?
Image processing has been widely used in the medical industry for a variety of purposes. The most common use cases are diagnosis, treatment and image archiving. Machine vision in healthcare is a way to process medical data. It is a way for doctors to get more information about their patients. Machine vision in healthcare can…
Read MoreWhat are the top 5 most popular libraries for image processing?
Image processing is a technique that captures, analyzes, and modifies images. It is widely used in various fields like medical imaging, remote sensing and digital photography. OpenCV is a free open-source library that gives you access to algorithms for all the computer vision and image processing procedures you might need. It is not just a…
Read MoreImage Processing using PIL (Python Imaging Library)
Python Image Library is used for manipulating images and working with the different formats of images. 1. Reading We can read the image using open function of image module of Python Image Library. This function will take path of your image as parameter. 2. Display properties of the image we can see properties of the…
Read MoreWhat is the difference between Computer Vision and Photo Enhancement?
Computer vision is a field of computer science that studies how computers can be made for the purpose of interpreting images, videos, and other forms of data. It is often called machine vision or computer vision. And it deals with processing and understanding image data. This includes methods for acquiring, storing, analyzing, recognizing, and interpreting…
Read MoreWhat is image processing?
Have you ever wanted to change the color of a photo or remove something from your picture? Image processing is what you need! Image processing is the subset of Computer Vision. The transformations we apply on images are sharpening, smoothing, stretching etc. In order to get an enhanced, sharpened, and brighter image, or if we…
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