Proposal of Segmentation Method Adapted to the Infrared Sensor

Author(s):  
Félix Polla ◽  
Kamal Boudjelaba ◽  
Bruno Emile ◽  
Hélène Laurent
2010 ◽  
Vol 130 (9) ◽  
pp. 437-442
Author(s):  
Takafumi Fukumoto ◽  
Naoki Okamoto ◽  
Yoshimi Ohta ◽  
Yasuhiro Fukuyama ◽  
Masaki Hirota ◽  
...  

2014 ◽  
Vol 134 (7) ◽  
pp. 193-198
Author(s):  
Masafumi Kimata
Keyword(s):  

2012 ◽  
Vol 132 (3) ◽  
pp. 53-57
Author(s):  
Yuya Shiokawa ◽  
Tatsuya Nakano ◽  
Naoki Maeda ◽  
Masafumi Kimata ◽  
Akihiro Takahata

2020 ◽  
Vol 140 (9) ◽  
pp. 240-245
Author(s):  
Masaki Okamoto ◽  
Tomoya Hatagaki ◽  
Shinya Kumagai ◽  
Minoru Sasaki

Author(s):  
SiMing Liang ◽  
FengYang Qi ◽  
YiFan Ding ◽  
Rui Cao ◽  
Qiang Yang ◽  
...  

2012 ◽  
Vol 3 (2) ◽  
pp. 253-255
Author(s):  
Raman Brar

Image segmentation plays a vital role in several medical imaging programs by assisting the delineation of physiological structures along with other parts. The objective of this research work is to segmentize human lung MRI (Medical resonance Imaging) images for early detection of cancer.Watershed Transform Technique is implemented as the Segmentation method in this work. Some comparative experiments using both directly applied watershed algorithm and after marking foreground and computed background segmentation methods show the improved lung segmentation accuracy in some image cases.


1998 ◽  
Author(s):  
James Fraser ◽  
Michael Winings ◽  
Robert Sears ◽  
Stephen Hearney

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