Image segmentation of women’s salivary ferning patterns using harmony frangi filter

Heri, Pratikno and Mohd Zamri, Ibrahim (2022) Image segmentation of women’s salivary ferning patterns using harmony frangi filter. In: Lecture Notes in Electrical Engineering; 5th International Conference on Electrical, Control and Computer Engineering, InECCE 2019 , 29 July 2019 , Kuantan. pp. 605-622., 632. ISSN 1876-1100 ISBN 978-981152316-8

[img]
Preview
Pdf
Lecture Notes in Electrical Engineering vol 632.pdf

Download (454kB) | Preview
[img] Pdf
Image Segmentation of Women’s.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
[img]
Preview
Pdf
Image segmentation of women’s salivary ferning patterns .pdf

Download (155kB) | Preview

Abstract

Medical research proves that entering the fertile period, especially during ovulation, all-female body fluids contain ferning patterns in the form of crystallization of salt shaped like a fern tree. Until now, not many research topics have been carried out related to the segmentation process in the salivary ferning pattern, this is due to several problems including first, the unavailability of a database of image salivary ferning pattern online. Second, the salivary ferning pattern has several hidden layers and uneven intensity. The purpose of this study was to detect and determine the line shape of the salivary ferning crystal pattern using the Harmony Frangi Filter method based on the Hessian matrix operation. The results of the segmentation process from this study are a crucial basis in determining the level of accuracy and precision at the next stage of research, namely: the prediction process of a woman’s ovulation in each menstrual cycle. The measurement of segmentation results has an average value of MSE 2.25, PSNR 44.86 dB, FSIM 0.954, accuracy 99.88%, sensitivity 99.98% and specificity 99.88%.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Frangi filter; Ovutest scope; Salivary ferning
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 03 Nov 2023 01:40
Last Modified: 03 Nov 2023 01:40
URI: http://umpir.ump.edu.my/id/eprint/39160
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item