A novel approach of adaptive thresholding for image segmentation on GPU

2016 ◽  
Author(s):  
Pawan Kumar Upadhyay ◽  
Satish Chandra ◽  
Arun Sharma
Keyword(s):  
Image Segmentation ◽  
Adaptive Thresholding ◽  
Novel Approach

An Improved Normalized Cut Image Segmentation Algorithm with k-Means Cluster

2014 ◽  
Vol 548-549 ◽  
pp. 1179-1184 ◽  
Author(s):  
Wen Ting Yu ◽  
Jing Ling Wang ◽  
Long Ye
Keyword(s):  
Image Segmentation ◽  
High Resolution ◽  
Normalized Cut ◽  
Resolution Image ◽  
High Resolution Image ◽  
Novel Approach ◽  
Normalized Cuts ◽  
Segmentation Methods ◽  
Improved Performance ◽  
Popular Image

Image segmentation with low computational burden has been highly regarded as important goal for researchers. One of the popular image segmentation methods is normalized cut algorithm. But it is unfavorable for high resolution image segmentation because the amount of segmentation computation is very huge [1]. To solve this problem, we propose a novel approach for high resolution image segmentation based on the Normalized Cuts. The proposed method preprocesses an image by using the normalized cut algorithm to form segmented regions, and then use k-Means clustering on the regions. The experimental results verify that the proposed algorithm behaves an improved performance comparing to the normalized cut algorithm.

scholarly journals Influence of reconstruction settings on the performance of adaptive thresholding algorithms for FDG-PET image segmentation in radiotherapy planning

2011 ◽  
Vol 12 (2) ◽  
pp. 115-132 ◽  
Author(s):  
Roberta Matheoud ◽  
Patrizia Della Monica ◽  
Gianfranco Loi ◽  
Luca Vigna ◽  
Marco Krengli ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Fdg Pet ◽  
Adaptive Thresholding ◽  
Radiotherapy Planning
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