The need to separate one material/object from another, or identify a particular material, arises in many image processing applications.
computer science
Description
1. Introduction:
The need to separate one material/object from another, or identify a particular material, arises in many image processing applications. From industrial inspection, where you might be asked to identity pixels depicting correctly manufactured cloth, to human computer interaction, where you might need to detect human skin, the core problem remains the same: develop a processing pipeline that converts a colour image into a binary image labelling different materials.
Biological science is a current growth area for image processing and computer vision. For example, scientists use worms to study genomes and models of diseases, in order to solve and discover drugs for humans. However, they require accurate and quantitative monitoring of worm’s movement, behaviour, and life cycle, from images and videos. This monitoring, if done manually, is time-consuming and could also be subjective.
The first stage of monitoring worms movement and behaviour is to be able to detect
and segment the worm’s body, from the background, from the images/video frames
(see example image above). Tools are needed that can detect and extract the
worm’s body, extract its boundaries, measure its size and surface area,….,etc. from
images such as this.
