An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images. (arXiv:2204.01341v2 [cs.CV] UPDATED)

This paper proposes a novel pixel interval down-sampling network (PID-Net)
for dense tiny object (yeast cells) counting tasks with higher accuracy. The
PID-Net is an end-to-end convolutional neural network (CNN) model with an
encoder--decoder architecture. The pixel interval down-sampling operations are
concatenated with max-pooling operations to combine the sparse and dense
features. This addresses the limitation of contour conglutination of dense
objects while counting. The evaluation was conducted using classical
segmentation metrics (the Dice, Jaccard and Hausdorff distance) as well …

application arxiv cv environmental images interval microorganism pixel sampling