scholarly journals Improved U-Net-Based Novel Segmentation Algorithm for Underwater Mineral Image

2022 ◽  
Vol 32 (3) ◽  
pp. 1573-1586
Author(s):  
Haolin Wang ◽  
Lihui Dong ◽  
Wei Song ◽  
Xiaobin Zhao ◽  
Jianxin Xia ◽  
...  
Keyword(s):  
Segmentation Algorithm

Morphology granule segmentation algorithm based on fuzzy reasoning of image features

2011 ◽  
Vol 30 (12) ◽  
pp. 3278-3280
Author(s):  
Ming HAN ◽  
Lei-min LI ◽  
Yu-qing HUANG
Keyword(s):  
Fuzzy Reasoning ◽  
Image Features ◽  
Segmentation Algorithm

Watershed segmentation algorithm based on-gradient modification and region merging

2011 ◽  
Vol 31 (2) ◽  
pp. 369-371 ◽  
Author(s):  
Jian-ming ZHANG ◽  
Ju ZHANG ◽  
Juan WANG
Keyword(s):  
Segmentation Algorithm ◽  
Region Merging ◽  
Watershed Segmentation

Retraction Notice: Improved Level Set Segmentation Algorithm Based on Kernel Fuzzy Particles Swarm Optimization (KFPSO) Clustering for MRI Images

2018 ◽  
Vol 14 ◽  
Author(s):  
G. Elaiyaraja
Keyword(s):  
Medical Imaging ◽  
Level Set ◽  
Current Medical ◽  
Segmentation Algorithm ◽  
Scientific Publishing ◽  
Swarm Optimization ◽  
Original Source ◽  
Level Set Segmentation ◽  
Copyright Violation ◽  
Retraction Notice

The article entitled “Improved Level Set Segmentation Algorithm Based on Kernel Fuzzy Particles Swarm Optimization (KFPSO) Clustering for MRI Images”, by G. Elaiyaraja, P. Epsiba, N. Kumaratharan and G. Suresh, has been retracted. Kindly see Bentham Science Policy on Article retraction at the link given below: (https://www.benthamscience.com/journals/current-medical-imaging/author-guidelines/). This article has been retracted on the request of the Editor. The authors have plagiarized a paper that had already been published in the journal Current Medical Imaging (CMIM) (Formerly: Current Medical Imaging Reviews) 14(3), Page: 389-400. http://www.eurekaselect.com/149444. It is a pre-requisite for authors to declare explicitly that their work is original and has not been published elsewhere. Authors are advised to properly cite the original source to avoid plagiarism and copyright violation. As such this article represents a severe abuse of the scientific publishing system. Bentham Science Publishers takes a very strong view on this matter and apologizes to the readers of the journal for any inconvenience this may cause.

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