scholarly journals Spatiotemporal Region Enhancement and Merging for Unsupervized Object Segmentation

2009 ◽  
Vol 2009 ◽  
pp. 1-13
Author(s):  
K. Ryan ◽  
A. Amer ◽  
L. Gagnon
2018 ◽  
Vol 6 (4) ◽  
pp. 161-167
Author(s):  
S. Thilagamani ◽  
◽  
◽  
V. Manochitra

Author(s):  
Ervina Varijki ◽  
Bambang Krismono Triwijoyo

One type of cancer that is capable identified using MRI technology is breast cancer. Breast cancer is still the leading cause of death world. therefore early detection of this disease is needed. In identifying breast cancer, a doctor or radiologist analyzing the results of magnetic resonance image that is stored in the format of the Digital Imaging Communication In Medicine (DICOM). It takes skill and experience sufficient for diagnosis is appropriate, andaccurate, so it is necessary to create a digital image processing applications by utilizing the process of object segmentation and edge detection to assist the physician or radiologist in identifying breast cancer. MRI image segmentation using edge detection to identification of breast cancer using a method stages gryascale change the image format, then the binary image thresholding and edge detection process using the latest Robert operator. Of the20 tested the input image to produce images with the appearance of the boundary line of each region or object that is visible and there are no edges are cut off, with the average computation time less than one minute.


2014 ◽  
Vol 36 (11) ◽  
pp. 2356-2363
Author(s):  
Zong-Min LI ◽  
Xu-Chao GONG ◽  
Yu-Jie LIU

Author(s):  
Cong Lin ◽  
Shijie Zhuang ◽  
Shaodi You ◽  
Xiaoxiang Liu ◽  
Zhiyu Zhu

2020 ◽  
Author(s):  
Tianxiang Ren ◽  
Lianhui Lin ◽  
Shihui Guo ◽  
Juncong Lin ◽  
Minghong Liao ◽  
...  

2020 ◽  
Author(s):  
XiaoQing Bu ◽  
YuKuan Sun ◽  
JianMing Wang ◽  
KunLiang Liu ◽  
JiaYu Liang ◽  
...  

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