A level set model by regularizing local fitting energy and penalty energy term for image segmentation

S Biswas, R Hazra - Signal Processing, 2021 - Elsevier
A novel level set model is proposed by regularizing local fitting energy to segment the
intensity inhomogeneous images. In proposed model, local image fitting energy information …

Level set evolution driven by optimized area energy term for image segmentation

X Zhang, G Weng - Optik, 2018 - Elsevier
As a classic and famous active contour model for image segmentation, distance regularized
level set evolution method avoids the process of re-initialization and can segment images …

Ceramics and defects: Infrared thermography and numerical simulations—a wide-ranging view for quantitative analysis

S Sfarra, S Perilli, D Paoletti, D Ambrosini - Journal of thermal analysis and …, 2016 - Springer
The feasibility of square-pulsed thermography nondestructive testing for the detection of
defects in one ceramic material sample has been carried out by finite element (FE) analysis …

Distance regularized level set evolution for medical image segmentation

I Rianto, P Pranowo - The 1st Conference on Information …, 2013 - eprints.undip.ac.id
Medical image is an important tool because it can be used for surgical planning and
simulation, radiotherapy planning, and tracking the progress of disease. To analyze the …

An on-line method for thermal diffusivity detection of thin films using infrared video

H Dong, B Zheng, F Chen - Metrology and Measurement Systems, 2016 - yadda.icm.edu.pl
A novel method for thermal diffusivity evolution of thin-film materials with pulsed Gaussian
beam and infrared video is reported. Compared with common pulse methods performed in …

KOMPUTASI PARALEL PADA METODE DISTANCE REGULARIZED LEVEL SET EVOLUTION (DRLSE) UNTUK SEGMENTASI CITRA MEDIS

I RIANTO - 2014 - e-journal.uajy.ac.id
Citra medis merupakan hal yang penting di dalam dunia medis. Dengan menggunakan citra
medis, dapat dilakukan perencanaan dan simulasi pembedahan, perencanaan radioterapi …