2D noisy object segmentation and filtering
PrerequisitesBefore starting this lesson, you should be familiar with:
Learning ObjectivesAfter completing this lesson, learners should be able to:
Create an image analysis workflow comprising image denoising and object filtering.
Finding objects in images typically presents itself with two challenges. First, the input image may not lend itseld to a simple intensity thresholding operation for binarisation. Second, there may be unwanted objects in the image such as hot pixels or objects that are not fully in the image. The first challenge typically is tackled by applying appropriate image filters to the raw data. The second challenge is tackled by defining and applying reproducible criteria to remove certain objects from the image.
Apply the workflow outlined above (see Concept map and Example figure) to both images. The modules listed in this module’s Prerequisites contain the information as to how to conduct each step of the workflow.
Show activity for:
ImageJ Macro & GUI
Recommended follow-up modules: