Image Transformation

The computer is my assistant — I’m going to describe an app I wrote to help me make digital art. The app’s main function is about 3000 lines of Matlab code. There are also about 350 supporting functions, most of which are just a few lines of code. The app works by applying various filters to…

Image processing is an essential part of computer vision and machine learning, playing a crucial role in various industries, from healthcare to entertainment. In this tutorial, we’ll explore image processing in Python using the powerful scikit-image library. …

Homography is an essential concept in image processing and finds its use in many other fields. Homography is a transformation matrix that takes you from one plane to another plane. In this project, we will learn about homography and explore one of its applications. …

150 Million, this is the number of communications Capillary’s Engage+ product had sent out inside a two hour window at peak during New-Years. Capillary’s Engage+ provides a consumer engagement platform that empowers brands to connect with end-consumers in real-time and build meaningful, long-lasting experiences by offering end-to-end personalised campaign automation…

One easy way to remove transparency from an image is to apply an opaque white background behind the original image. That’s exactly what our Transparency Removal API does, otherwise rendering the image at the same resolution & in the same file format. The best part? You can use this API…

and securely deliver images custom to your application in next-gen formats. — This post describes creating a custom image service for your application using imgproxy — a fast and secure image processing tool — Google Cloud Run and Google Cloud Storage. Table of content Why Imgproxy Install Imgproxy Deploy to Google Cloud-Run using Docker Construct URLs and serve images Connect to Google Cloud Storage

Image processing project of converting RGB image into grayscale using Lab Color Space — When you step into the image processing field, you always try to play with different images and their outcomes with different types of machine learning algorithms. But if you are a beginner then you have to deal with RGB Images and grayscale first. …

NOTE: It is a summary from the book Digital Image Processing, 4th Edition Rafael C. Gonzalez, University of Tennessee Richard E. Woods, MedData Interactive Intensity Transformation Functions and spatial domain So, in this article, we will discuss Intensity Transformation Functions that are implemented in Spatial Domain. In the spatial domain…

Introduction Hi folks! Today, we would like to talk about our machine learning capstone project. In this project, we aim to implement an image-style transformation model by considering the art styles of different artists. Many artist’s works from the past to the present can be reachable as digital data. This opportunity…