A robust segmentation method for counting bovine milk somatic cells in microscope slide images
A two-step methodology for background removal of bovine milk images is proposed. A well-tuned k-means algorithm removes all sort of debris from background. A new thresholding removes the debris-free and statistically varying background. The background-removed cells under Watershed transform are robust-segmented. High accuracy somatic cell counting algorithm for bovine milk quality control.
watershed transform image processing k-means clustering