An Edge can be defined as a set of connected pixels that forms a boundary between two disjoint regions. Edges represent boundaries between objects and background.
Edge Detection is an image processing technique for finding the boundaries of objects within images. Edge Detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision.
An Image Gradient is a directional change in the intensity or color in an image. The Gradient of the Image is one of the fundamental building blocks in image processing.
Blob and Corner Detection
A Blob is a region of an image in which some properties are constant or approximately constant. All the points in a blob can be considered in some sense to be similar to each other. In computer vision, Blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color, compared to surrounding regions.
Corner Detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner Detection is frequently used in motion detection, image registration, video tracking, image mosaicing, panorama stitching, 3D reconstruction and object recognition.
Scale-Invariant Feature Transform
The Scale-Invariant Feature Transform (SIFT) is a feature detection algorithm in computer vision to detect and describe local features in images. The SIFT algorithm locates certain key points and then furnishes them with quantitative information which be used for object recognition.
Image Segmentation is the process by which a digital image is partitioned into various subgroups of pixels called Image Objects, which can reduce the complexity of the image, and thus analysing the image becomes simpler.
Human Visual System
Visual Perception is a process by which humans acquire knowledge about their environment. It is initiated when environmental light enters the eye and induces electrical signals subsequently processed within the brain where an image is formed. The Human Visual System comprises three main parts: The Eye, the Lateral Geniculate Nucleus (LGN) and the part of the cortex brain that processes the visual information.
Log in to save your progress and obtain a certificate in Alison’s free Computer Vision - Visual Features and Representations online course
Sign up to save your progress and obtain a certificate in Alison’s free Computer Vision - Visual Features and Representations online course
Please enter you email address and we will mail you a link to reset your password.