Revision history [back]

Hi,

to solve this detection tasks you would need several steps. I'll give you an example on a traditional image pipeline:

1. apply a Median Filter to remove noise median filtered image
2. apply a segmentation method e.g. KMeans Clustering result KMeans with 3 classes
3. apply a blob detection
4. calculate some features based on the black regions
5. train a model based on the features e.g. random forest

another possibility would be to try a state-of-the-art approach like a U-Net (Neuronal Network). (if you have enough examples)

Best, Volkmar