Image Processing Basics
Images, like data, must be processed before they can be used in computer vision processes, in the same way that data must be analysed and preprocessed before it can be used in machine learning. This aids in the extraction of every pixel of an image with greater clarity and accuracy using algorithms such as edge detection and the Image Pyramid method.
Image processing and representation
By Mohammad Yawar
● Published At Jun 2022
This blog focuses on how the image is represented by a computer and Digital image processing.... Keep reading ..
Image sampling and quantization
By Mohammad Yawar
● Published At May 2022
This blog focuses on how an analog image is converted into a digital image through sampling and quantization. ... Keep reading ..
Edge Detection
By Vidhu Chaudhary
● Published At Jun 2022
This blog will provide a theoretical introduction to Edge Detection and its various techniques. ... Keep reading ..
Image Pyramids
By Vidhu Chaudhary
● Published At Jun 2022
 This blog will provide a theoretical introduction to the Image Pyramid and its various types.... Keep reading ..
Scale-Invariant Feature Transform (SIFT)
By Mohammad Yawar
● Published At Jun 2022
This article focuses on the concept and math behind SIFT ... Keep reading ..
Speeded Up Robust Features (SURF)
By Vidhu Chaudhary
● Published At Jun 2022
In this article, we will see the basics of SURF and a brief about the feature extraction and description.... Keep reading ..
Local Binary Pattern Algorithm
By Tashmit
● Published At May 2022
This article aims to understand the Local Binary Pattern Algorithm.... Keep reading ..