Application of geometrical irregularities identification using the cubic phase masks

نویسندگان

چکیده

The geometrical analysis of the healthy and deformed biological cells is a very helpful aide to generally more expensive complicated pathological methods for disease detection. demonstrated in this paper have successfully identified distorted using cubic phase masks as Fourier domain filters 4-f setup architecture Optics principles orientation wise weighted tuning edges cell. For two orthogonal arrangements mask, images are generated. regular shaped cells, maximum intensity values these same whereas they different cell – example, an ellipse or sickle Moreover, halves image frame particular arrangement mask will be tear-drop These brightness automatically read appropriate marking recognized has been done automated process.

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ژورنال

عنوان ژورنال: Journal of physics

سال: 2022

ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']

DOI: https://doi.org/10.1088/1742-6596/2349/1/012013