Cornea is the transparent surface in the human eye, consists of various sub-biological components, it consists of five (5) sophisticated layers, Epithelial layer is the peripheral layer and thickness of 50 µm, followed by stroma layer, bowman’s layer, Descemet layer, and endothelium layer. The stroma layer is a big layer thickness of around 500 µm. And the smallest layer is Descemet’s layer thickness of 12 µm. The endothelium layer is having a thickness around 50 µm and its very useful layer in the cornea which helps transfer the image to focal point on the retina, from retina image is transferred to the brain through the optic nerve, Optic nerve is protected by the optic disk help to process the vision through optical nerve to brain. Fuch’s Dystrophy (FD), Advanced Fuch’s Dystrophy, Posterior Polymorphous Corneal Dystrophy (PPCD), Irido Corneal Dystrophy (ICD), are the major dystrophies encounter the corneal layers. To monitor the corneal layers ophthalmologists, depend on the Confocal Microscope (CM), Specular Microscope (SM). In this paper among five (05) layers of the cornea, the endothelium layer is considered. Specular endothelium dystrophic images are processed into Particle Filter (PF) algorithm. PF algorithm harvested statistical parameters like cell density, cell area, cell shape, and cell size which are helpful for accurate diagnosis of dystrophies for ophthalmologists.PF eliminates noise components in the image and estimates the strength of noise(SON), peak signal to noise ratio(PSNR), edge profile, no. of particles (endothelium cells) in an image and compared with existing Morphological methods (MO)methods. The processing time of the proposed algorithm is reduced to 85 ms. Total ‘13’ different specular endothelium images are processed. © 2021, Springer Nature Singapore Pte Ltd.