Glomerulus diameter and Bowman's capsule thickness in renal microscopic images indicate various diseases.

Detection of the renal corpuscle and related objects detection is a key step in histopathological evaluation of renal microscopic images.

This work proposed the Analysis Particles algorithm based on median filter for morphological image processing to detect the renal corpuscle objects. Afterwards, the glomerulus diameter and Bowman's capsule thickness are measured.

The proposed system was tested with a dataset of 21 rats’ renal corpuscle images acquired using light microscope.

The experimental results proven that the proposed solution can detect the renal corpuscle and its objects efficiently with robustness to the deformations of the glomeruli, even in the case of glomerular hypertrophy that leads to split the bowman space.

The results also reported significant difference between the controlled and affected groups in terms of glomerulus diameter (97.40 ± 19.02 μm and 177.03 ± 54.48 μm, respectively).