Computer Vision Based Pre-processing of Microscopic Images

Kurmangazy Kongratbayev, Cemil Turan, Bekzot Tursunmamatov

2021

Closed access Metadata (CSL-JSON)
DOI 10.1109/icecco53203.2021.9663812
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Preparing the microscopic images for analyses is a crucial step for any kind of image processing task. In this paper, the methods for analyzing and processing of biomedical images are presented. The main task is to select the appropriate object images of interest for further measurement of their morphological parameters. In the article, several methods are presented such as contrast adjustment, intensity adjustment, histogram equalization, morphological operation and background subtraction that can be used in pre-processing of microscopic images.