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A Hybrid Chaotic Bat Algorithm With Deep Learning Optimization for Multi-Level Image Segmentation

IEEE Access
This paper examines the applicability of the Bat Algorithm (BA) and its variants as optimization frameworks for various image segmentation paradigms.
Caslav Livada, Tomislav Galba, Alfonzo Baumgartner, Kresimir Nenadic   +3 more
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Unsupervised Selection of Color Factor Weight and Segmentation Scale Parameter for Successful Segmentation of Urban Land Use/Land Cover [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Image segmentation is a crucial step in object-based image analysis of urban remote sensing data. Its primary goal is to divide a digital image into meaningful objects that are internally homogeneous and clearly distinguishable from neighboring segments.
G. B. Ikokou, K. M. Malale
doaj   +1 more source

Fuzzy clustering based transition region extraction for image segmentation

Engineering Science and Technology, an International Journal, 2018
Transition region based approaches are recent hybrid segmentation techniques well known for its simplicity and effectiveness. Here, the segmentation effectiveness depends on the robust extraction of transition regions.
Priyadarsan Parida, Nilamani Bhoi
doaj   +1 more source

Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification

IEEE Access
Recent studies have explored image segmentation for landmark detection in computer vision and medical imaging of the lower limb, showing promising results.
Sebastian Amador Sanchez, Ashkan Zarghami, Philippe van Overschelde, Jef Vandemeulebroucke   +3 more
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Semisupervised Soft Mumford-Shah Model for MRI Brain Image Segmentation

Applied Computational Intelligence and Soft Computing, 2016
One challenge of unsupervised MRI brain image segmentation is the central gray matter due to the faint contrast with respect to the surrounding white matter.
Hong-Yuan Wang, Fuhua Chen
doaj   +1 more source

IMAGE SEGMENTATION USING MULTIWAVELET TRANSFORM

Journal of Engineering, 2010
This paper presents region growing image segmentation method which unifies region and boundary information. Several studies shown that segmentation based on image features can improve the accuracy of the interpretation.
Manal Fadel Younis
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Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation

Frontiers in Neuroinformatics, 2018
A novel label fusion method for multi-atlas based image segmentation method is developed by integrating semi-supervised and supervised machine learning techniques.
Qiang Zheng, Qiang Zheng, Qiang Zheng, Yihong Wu, Yong Fan   +4 more
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Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches

Bioengineering
Medical image segmentation plays a critical role in accurate diagnosis and treatment planning, enabling precise analysis across a wide range of clinical tasks. This review begins by offering a comprehensive overview of traditional segmentation techniques,
Yan Xu, Rixiang Quan, Wei-Ting Xu, Yi Huang, Xiao-Long Chen, Feng-Yuan Liu   +5 more
semanticscholar   +1 more source

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
F. Isensee, P. Jaeger, S. Kohl, J. Petersen, Klaus Hermann Maier-Hein   +4 more
semanticscholar   +1 more source

HARDWARE REALIZATION OF CANNY EDGE DETECTION ALGORITHM FOR UNDERWATER IMAGE SEGMENTATION USING FIELD PROGRAMMABLE GATE ARRAYS [PDF]

Journal of Engineering Science and Technology, 2017
Underwater images raise new challenges in the field of digital image processing technology in recent years because of its widespread applications. There are many tangled matters to be considered in processing of images collected from water medium due to ...
ALEX RAJ S. M., CLARIS JOSE, SUPRIYA M. H.   +2 more
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