Results 81 to 90 of about 6,662,539 (239)

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

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
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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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Image Localized Style Transfer to Design Clothes Based on CNN and Interactive Segmentation [PDF]

, 2020
Hanying Wang, Haitao Xiong, Yuanyuan Cai
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Image Segmentation

, 2018
Sylvio Barbon, Ana Paula Ayub da Costa Barbon, N.A. Valous, D.F. Barbin   +3 more
  +8 more sources

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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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
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CIDN: A context interactive deep network with edge-aware for X-ray angiography images segmentation

, 2023
Min Zhang, Huibin Wang, Liansheng Wang, Abdu Saif, Sobia Wassan   +4 more
openalex   +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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