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A review of medical image segmentation algorithms
KKD Ramesh, GK Kumar, K Swapna… - … on Pervasive Health …, 2021 - publications.eai.eu
INTRODUCTION: Image segmentation in medical physics plays a vital role in image
analysis to identify the affected tumour. The process of subdividing an image into its …
analysis to identify the affected tumour. The process of subdividing an image into its …
A survey of recent advances in visual feature detection
Feature detection is a fundamental and important problem in computer vision and image
processing. It is a low-level processing step which serves as the essential part for computer …
processing. It is a low-level processing step which serves as the essential part for computer …
Efficient railway track region segmentation algorithm based on lightweight neural network and cross-fusion decoder
To segment railway track regions in real-time for intrusion detection and improving security,
this paper proposes an efficient railway track region segmentation network (ERTNet) based …
this paper proposes an efficient railway track region segmentation network (ERTNet) based …
SoC estimation of lithium-ion batteries based on machine learning techniques: A filtered approach
M Korkmaz - Journal of Energy Storage, 2023 - Elsevier
Accurate state-of-charge (SoC) estimation is an essential requirement for many situations
where Li-Ion batteries (LiBs) are used. This ensures an efficient battery management system …
where Li-Ion batteries (LiBs) are used. This ensures an efficient battery management system …
Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels
WC Zhang, YL Zhao, TP Breckon, L Chen - Pattern Recognition, 2017 - Elsevier
This paper presents a novel noise robust edge detector based upon the automatic
anisotropic Gaussian kernels (ANGKs), which also addresses the current problem that the …
anisotropic Gaussian kernels (ANGKs), which also addresses the current problem that the …
An optimal fuzzy system for edge detection in color images using bacterial foraging algorithm
OP Verma, AS Parihar - IEEE Transactions on Fuzzy systems, 2016 - ieeexplore.ieee.org
This paper presents a fuzzy system for edge detection, using smallest univalue segment
assimilating nucleus (USAN) principle and bacterial foraging algorithm (BFA). The proposed …
assimilating nucleus (USAN) principle and bacterial foraging algorithm (BFA). The proposed …
[HTML][HTML] Multi-scale pseudo labeling for unsupervised deep edge detection
Deep learning currently rules edge detection. However, the impressive progress heavily
relies on high-quality manually annotated labels which require a significant amount of labor …
relies on high-quality manually annotated labels which require a significant amount of labor …
Fuzzy image segmentation based upon hierarchical clustering
D Gómez, J Yáñez, C Guada, JT Rodríguez… - Knowledge-Based …, 2015 - Elsevier
In this paper we introduce the concept of Fuzzy Image Segmentation, providing an algorithm
to build fuzzy boundaries based on the existing relations between the fuzzy boundary set …
to build fuzzy boundaries based on the existing relations between the fuzzy boundary set …
Nondestructive imaging of hidden defects in aircraft sandwich composites using terahertz time-domain spectroscopy
Q Wang, X Li, T Chang, J Zhang, L Liu, H Zhou… - Infrared Physics & …, 2019 - Elsevier
Aircraft sandwich composites are superior to ordinary composites and have been largely
used in the manufacture of military aircraft. This study attempts to investigate the efficacy of …
used in the manufacture of military aircraft. This study attempts to investigate the efficacy of …
[HTML][HTML] Utilizing semantic-level computer vision for fracture trace characterization of hard rock pillars in underground space
This study utilizes a semantic-level computer vision-based detection to characterize fracture
traces of hard rock pillars in underground space. The trace images captured by …
traces of hard rock pillars in underground space. The trace images captured by …