Segmentation of Stacked Leaf Images for Enhanced Visual Monitoring Using Gaussian Mixture Models (GMM) Algorithms DOI
Suyud Widiono, Edi Noersasongko,

Purwanto Purwanto

et al.

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), Journal Year: 2023, Volume and Issue: unknown, P. 59 - 64

Published: Dec. 11, 2023

Piles of leaves that are blocked by other objects hinder visual monitoring the condition leaves. Therefore, this research aims to identify and separate images stacked from background. Advances in artificial intelligence technology with machine learning algorithms make it possible image segmentation This succeeded conducting experiments segmenting leaf using Machine Learning algorithms, namely K-Means Clustering, Fuzzy C-Mean (FCM), Gaussian Mixture Models (GMM). algorithm was evaluated Mean Squared Error (MSE) peak signal-to-noise ratio (PSNR). The experimental results show GMM achieves lowest MSE value 44.28781, outperforming both FCM algorithms. Likewise, PSNR on tends be greater than PNSR FCM, 31.66796dB. prove case data, appears best choice compared two tested research.

Language: Английский

Diagnosis of Central Canal Spinal Stenosis from Lumbar Mid-sagittal MR Images DOI

A. Beulah,

T. Sree Sharmila,

V. K. Pramod

et al.

2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 12

Published: May 9, 2024

Language: Английский

Citations

0
Segmentation of Stacked Leaf Images for Enhanced Visual Monitoring Using Gaussian Mixture Models (GMM) Algorithms DOI
Suyud Widiono, Edi Noersasongko,

Purwanto Purwanto

et al.

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), Journal Year: 2023, Volume and Issue: unknown, P. 59 - 64

Published: Dec. 11, 2023

Piles of leaves that are blocked by other objects hinder visual monitoring the condition leaves. Therefore, this research aims to identify and separate images stacked from background. Advances in artificial intelligence technology with machine learning algorithms make it possible image segmentation This succeeded conducting experiments segmenting leaf using Machine Learning algorithms, namely K-Means Clustering, Fuzzy C-Mean (FCM), Gaussian Mixture Models (GMM). algorithm was evaluated Mean Squared Error (MSE) peak signal-to-noise ratio (PSNR). The experimental results show GMM achieves lowest MSE value 44.28781, outperforming both FCM algorithms. Likewise, PSNR on tends be greater than PNSR FCM, 31.66796dB. prove case data, appears best choice compared two tested research.

Language: Английский

Citations

0