Automated image analysis
The continuing growth of computing power is opening up automated image analysis applications in new areas, often replacing tedious, time consuming and error prone manual analysis. Often, moving to an automated process can provide benefits not only in saved time, but also in terms of accuracy and repeatability. Computer based approaches are also more clearly free of bias, and generally provide quantitative measurements.
Our experience spans a number of domains, with a particular focus on analysis of images from life sciences applications:
- Image processing: Techniques for processing of images including removal of instrumental artefacts, background subtraction, image registration and alignment.
- Object detection and classification: Detecting and classifying objects within an image, using a variety of methods.
- Measurement: Accurate measurement of objects features, including overlapping objects.
- Region identification: Identification of regions of interest within large images.