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Computer Vision
Last updated: Mar 14, 2022

Computer Vision

Computer Vision is a critical component of Artificial Intelligence that primarily deals with graphics and images. It has a wide range of real-world applications, ranging from medical to defence to everyday smartphones. It has the ability to extract information from any available visual. In this section, you will learn about its concept and implementation.

Introduction

Learn about the fundamentals and the actual need for implementing computer vision applications in the technical domain. Knowing its applications is also an important aspect of computer vision, as it has many of them, including facial recognition, self-driving cars, and many others.
Introduction to Computer vision
The objective of this blog is to get an introduction to Computer Vision.
Author aniket verma
4 upvotes
Aliasing and Antialiasing in Computer Graphics EASY
In this article, we will learn what anti-aliasing is, the different methods & types of anti-aliasing, & how it is applied in computer graphics.
Author Ravi Khorwal
0 upvotes
Applications of Computer Vision EASY
This blog is about some of the most common applications of computer vision
Author Md Yawar
1 upvote

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.
Digital Image Processing EASY
This blog focuses on how the image is represented by a computer and Digital image processing.
Author Mohammad Yawar
1 upvote
OpenCV cv2.threshold() Function MEDIUM
In this article, we will learn about the OpenCV cv2.threshold() function. We will explore simple thresholding and adaptive thresholding in this article.
Author Vidhi Sareen
0 upvotes
Morphological Operations in Image Processing EASY
In this blog, we will learn about Morphological Operations in Image Processing. We will learn about its types, implementation, and much more for better understanding.
Author Ravi Khorwal
0 upvotes
Seamless Cloning in Image Processing MEDIUM
In this article, we will learn about Seamless Cloning in Image Processing, its types, and its implementation in openCV and its applications.
Author Kartik Kukreja
0 upvotes
Edge Detection EASY
This blog will provide a theoretical introduction to Edge Detection and its various techniques.
Author Vidhu Chaudhary
0 upvotes
Image Pyramids EASY
 This blog will provide a theoretical introduction to the Image Pyramid and its various types.
Author Vidhu Chaudhary
0 upvotes
Scale-Invariant Feature Transform (SIFT) EASY
This article focuses on the concept and math behind SIFT
Author Mohammad Yawar
0 upvotes
Speeded Up Robust Features (SURF) EASY
In this article, we will see the basics of SURF and a brief about the feature extraction and description.
Author Vidhu Chaudhary
0 upvotes
Local Binary Pattern Algorithm EASY
This article aims to understand the Local Binary Pattern Algorithm.
Author Tashmit
1 upvote
Difference between Dilation and Erosion MEDIUM
This article briefly discusses the difference between morphological operations, dilation and erosion in detail.
Author Sohail Ali
1 upvote

Computer Vision Concepts

Working with images necessitates an understanding of some concepts and theory, which will undoubtedly aid in achieving greater efficiency with fewer inputs. Algorithms such as feature detection and selection, as well as GAN applications, are important features in computer vision.
Homography EASY
In this article, you will understand what is Homography and its basic implementation.
Author Taneesh Kaushik
0 upvotes
Object Detection Using Deep Learning
This article aims to understand Object Detection using Deep Learning
Author Tashmit
1 upvote
Human Detection in Computer Vision EASY
This blog discusses various techniques used to detect humans in an image or video.
Author Md Yawar
0 upvotes
Noise Tolerance in Computer Vision MEDIUM
This blog will discuss Computer vision and various noise-tolerance techniques with some types and implementation with output.
Author Aditya_2bc4
0 upvotes
OpenCV Python Tutorial MEDIUM
In this article, we will see the concept of computer vision. We will see the OpenCV Python library, its installation, and related operations.
Author Kartik023
0 upvotes
Detectron2 for Object Detection HARD
Various aspects of Detectron2 for Object Detection in detail and in brief about Detectron2
Author Rupal Saluja
0 upvotes
Visual QA
This blog offers a detailed guide for understanding Visual Question Answering and how to implement it. To know more about it, read on!
Author Jaskirat Singh Saggu
0 upvotes
Transformer Network
This article will study transformers, why we use them, and their applications. Lastly, we will have a detailed description of its architecture.
Author Mayank Goyal
0 upvotes
Spatial Transformer Network EASY
In this article, we will discuss the concept of STN (spatial transformer network). Also, we will see the computations that are needed for STNs.
Author soham Medewar
0 upvotes
Pixel RNN EASY
In this article, we will discuss the concept and the architecture of a pixel recurrent neural network. Also, will see how it is used in image classification tasks.
Author soham Medewar
0 upvotes
Transformation Transformation techniques within an image help in working efficiently and being able to analyse different parts of an image as well as running different algorithms for better vision output after transformation.
CNN Visualisations Learn about interesting models and programmes that use computer vision concepts to visualise various neural networks, such as Google Dream, which visualises neurological thoughts, and unique models such as Grad-CAM, which takes network visualisations to the next level.
Applications of GANS GANs have many applications and use cases in computer vision; for example, Pix2Pix and Stack GAN are GAN models designed specifically for use in computer vision applications.

OpenCV

OpenCV is a popular and widely used framework for computer vision model implementations and applications. It not only works at the software level, but it is also highly optimised for integration with hardware such as cameras and various sensors. It can be used in a variety of programming languages, including Java, C++, and Python.
Introduction to OpenCV EASY
This article gives us an introduction to OpenCV
Author Mohammad Yawar
0 upvotes
OpenCV cv2.imwrite() Method EASY
In this article, we will dive into the exciting world of OpenCV cv2.imwrite() Method.
Author Neha Singh
0 upvotes
OpenCV cv2.imread() EASY
In this blog, we will discuss syntax, parameters, return type, and examples of the OpenCV cv2.imread() method in Python.
Author Ayush Mishra
0 upvotes
Image Read-Write-Display in OpenCV EASY
This blog will give our viewers a detailed description of the basic operations of images like reading, writing, and displaying in OpenCV.
Author Anjujais
2 upvotes
Feature Matching OpenCV MEDIUM
This article covers the concept of Feature Matching OpenCV using Python with different techniques.
Author 3053_Jatin
0 upvotes
Color Filtering
In this article, we will study HSV and its purpose. Lastly, we will see its implementation.
Author Mayank Goyal
0 upvotes
Color Spaces EASY
This article talks about different color spaces their implementation using OpenCV
Author Mohammad Yawar
0 upvotes
How To Crop An Image In Opencv Python? EASY
In this article, we learn how to crop an image in OpenCV Python. We also discuss the steps that are involved in this in detail.
Author Ravi Khorwal
0 upvotes
Bitwise Operations on Images EASY
In this blog, we will see different bitwise operations that we can perform with images. We can add two images, subtract two images, and use all bitwise operations like AND, OR, XOR, NOT, etc. Now let's get started.
Author Rajkeshav
0 upvotes
Adaptive thresholding
In this blog, we will discuss adaptive thresholding and look into the implementation of adaptive thresholding using OpenCV and Python.
Author Vidhu Chaudhary
0 upvotes
Image Segmentation Techniques EASY
This blog will provide an introduction to Image Segmentation and its various techniques.
Author Vidhu Chaudhary
0 upvotes
OpenCV cv2.imshow() Method EASY
This article will provide a comprehensive guide to the OpenCV cv2.imshow() method and explain its syntax, parameters and working examples.
Author yesdhruv
0 upvotes
Motion Estimation using Optical Flow
This article will teach about Motion Estimation using Optical Flow. We will explore different aspects related to Motion estimation.
Author Vidhi Sareen
0 upvotes
Contours in OpenCV EASY
This article discusses the concept of Contours in OpenCV in detail.
Author Alisha
0 upvotes
Thresholding in Image Processing EASY
This article covers Thresholding in Image Processing with types of image thresholding such as Simple thresholding, Adaptive thresholding, Adaptive mean thresholding, Gaussian thresholding, and Otsu’s thresholding. Understand limitations with FAQs.
Author aniket verma
0 upvotes
Face Detection Using OpenCV with Python EASY
In this article, we will discuss OpenCV in Python and will learn a popular way to detect faces using OpenCV in Python.
Author Kartik Kukreja
0 upvotes
Feature Detection with Haar-Cascade
We’ll study what haar-cascades are and perform features detection using haar-cascades in this blog.
Author Chaturvedi
0 upvotes
Eye Ball Tracking with OpenCV EASY
This article will discuss the Eye Ball Tracking with OpenCV, exploring its various aspects, techniques, applications, challenges, and future scope.
Author juhipathak
1 upvote
Smoothing Images
In this article, we will discuss some important methods for smoothing images. Also, we will see the maths behind each method along with its implementation.
Author soham Medewar
0 upvotes
Feature Detection and Description Learn about the implementation of feature detection in OpenCV with various types of detection algorithms such as line, circle, and smile detection, which is an important aspect of various machine learning models and computer vision models.
Applications and Projects As we all know, computer vision has a wide range of applications. Learn about various real-world projects based on computer vision that have been implemented using the OpenCV library. Create innovative projects such as an invisible cloak, a vehicle detection model, and much more.