Image Analysis

Image Analysis Tasks

Image analysis is a broad field and encompasses a variety of tasks. In KI-Morph we are focusing on the segmentation task with support for the other tasks coming in the future.

Segmentation

Dividing an image into meaningful regions or objects, such as separating anatomical structures or identifying areas of interest within the data.

Classification

Assigning a label or category to an entire image or to specific regions, for example, determining the type of tissue or the presence of a particular feature.

Detection & Counting

Locating and quantifying specific objects or features within an image, such as counting cells, particles, or other structures.

Line Tracking

Following and analyzing linear structures, such as blood vessels, fibers, or boundaries, to extract their shape, length, or connectivity.

Preprocessing (Denoising, Stitching, Registration)

Improving image quality and preparing data for analysis by removing noise, combining multiple images into a single dataset (stitching), or aligning images from different sources or time points (registration).