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Analytical Cellular Pathology: the Journal of the European Society for Analytical Cellular Pathology logoLink to Analytical Cellular Pathology: the Journal of the European Society for Analytical Cellular Pathology
. 1998 Jan 1;17(2):83–92. doi: 10.1155/1998/490585

Automatic Quantification of Microvessels Using Unsupervised Image Analysis

Petter Ranefall 1, Kenneth Wester 2, Christer Busch 2, Per-Uno Malmström 3, Ewert Bengtsson 1
PMCID: PMC4611099  PMID: 10052632

Abstract

An automatic method for quantification of images of microvessels by computing area proportions and number of objects is presented. The objects are segmented from the background using dynamic thresholding of the average component size histogram.

To be able to count the objects, fragmented objects are connected, all objects are filled, and touching objects are separated using a watershed segmentation algorithm.

The method is fully automatic and robust with respect to illumination and focus settings.

A test set consisting of images grabbed with different focus and illumination for each field of view, was used to test the method, and the proposed method showed less variation than the intraoperator variation using manual threshold.

Further, the method showed good correlation to manual object counting (r = 0.80) on an other test set.


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