scholarly journals Image Segmentation Based on Mathematical Morphological Operator

Author(s):  
Jianjun Chen ◽  
Haijian Shao ◽  
Chunlong Hu
2020 ◽  
Vol 17 (5) ◽  
pp. 2014-2020
Author(s):  
S. Agnes Shifani ◽  
G. Ramkumar ◽  
V. Nanammal ◽  
R. Thandaiah Prabu

A gainful fuzzy k-means clustering algorithm under Morphological Image Processing (MIP) is performed. Image processing is one of quickly developing examination territory nowadays and now it is particularly coordinated with all identified with science field. Image Processing can be utilized for breaking down various restorative and MRI Image to get the uncommon and anomaly in the image. Image segmentation manages segmentation of vein segmentation algorithm utilizing fundus Image. In this task, this segmentation is done utilizing k-means clustering and c-means clustering algorithm and Morphological operator for better execution. This upgrades the vein variations from the norm progressively and in a moderately brief time when contrasted with numerous other clustering algorithms.


Author(s):  
Weixing Zhu ◽  
Yan Wu ◽  
Liqiang Zhao ◽  
Xincheng Li
Keyword(s):  

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