"Digital image processing is the use of a digital computer to process digital images through an algorithm."
The study of techniques used to manipulate and analyze digital images.
Image formation: This covers the underlying principles of how images are formed through the use of optics and light sensors.
Image representation: This deals with the various ways of representing images using different coordinate systems.
Image enhancement: This encompasses various techniques used to improve the quality of an image.
Image segmentation: This involves dividing an image into different regions or objects for further analysis.
Image filtering: This involves processing an image by applying various filters to it, such as smoothing or edge detection filters.
Feature extraction: This involves identifying key features in an image that are relevant to the application at hand.
Object recognition: This entails identifying objects within an image or video stream.
Machine learning: This deals with developing algorithms that can learn from data and make predictions on new data.
Deep learning: This is a subset of machine learning that uses artificial neural networks to learn representations of data.
Motion analysis: This deals with understanding the movement and dynamics of objects within an image or video stream.
Stereo vision: This involves using multiple cameras to capture information about the 3D structure of objects within an image.
Image classification: This involves categorizing an image into different classes or categories based on its content.
Image retrieval: This involves searching for and retrieving images that are similar in content to a given query image.
Video processing: This deals with processing video data, such as applying filters, object detection, and recognition.
Real-time image processing: This involves processing images in real-time, such as in applications where there are strict time constraints, such as autonomous vehicles or robots.
Image Acquisition: Capturing images using electronic or mechanical devices.
Image Enhancement: Improving the quality of an image using various processes such as contrast adjustment, noise reduction, and sharpening.
Image Restoration: Restoring images that have been degraded by various factors like noise, blur, and compression.
Image Segmentation: Dividing an image into multiple segments based on the similarity of the pixels in the image.
Object Recognition: Identifying objects in an image and classifying them into categories.
Object Tracking: Following and tracking objects in motion across a sequence of images.
Image Registration: Aligning two or more images of the same scene taken from different perspectives or at different times.
Pattern Recognition: Identifying complex patterns in images and categorizing them based on predefined classes.
Feature Extraction: Identifying and extracting meaningful features from an image to describe its content.
Image Retrieval: Retrieving similar images from a database based on a query image or a set of keywords.
Image Analysis: Analyzing images to extract quantitative information like size, shape, and color of objects in the scene.
Machine Learning: Using algorithms to train a system to recognize patterns and perform various image processing tasks.
Deep Learning: A subset of machine learning that uses neural networks, which are designed to learn and recognize patterns in large sets of data.
Computer Graphics: Creating digital images and 3D models using mathematical algorithms and rendering techniques.
Augmented Reality: Overlaying digital content on real-world images and videos in real-time.
"It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing."
"It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing."
"Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems."
"The development of computers; the development of mathematics (especially the creation and improvement of discrete mathematics theory); the demand for a wide range of applications in environment, agriculture, military, industry, and medical science has increased."
"The development of computers" has affected the generation and development of digital image processing.
"The development of mathematics (especially the creation and improvement of discrete mathematics theory)" has affected the generation and development of digital image processing.
"The demand for a wide range of applications in environment, agriculture, military, industry, and medical science has increased."
"To process digital images through an algorithm."
"It can avoid problems such as the build-up of noise and distortion during processing."
"It is considered a subcategory or field of digital signal processing."
"Images are defined over two dimensions (perhaps more)."
"It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing."
"The demand for a wide range of applications in environment, agriculture, military, industry, and medical science has increased."
"Digital image processing is the use of a digital computer to process digital images through an algorithm."
"The development of computers; the development of mathematics (especially the creation and improvement of discrete mathematics theory); the demand for a wide range of applications in environment, agriculture, military, industry, and medical science has increased."
"The development of mathematics (especially the creation and improvement of discrete mathematics theory)" has affected the generation and development of digital image processing.
"It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing."
"The demand for a wide range of applications in environment, agriculture, military, industry, and medical science has increased."
"The demand for a wide range of applications in environment, agriculture, military, industry, and medical science has increased."