Improvement of GrabCut form Kumamoto Castle Ishigaki region extraction method

2021 ◽  
Author(s):  
Yuuki Yamasaki ◽  
Masahiro Migita ◽  
Go Koutaki ◽  
Masashi Toda ◽  
Tsuyoshi Kishigami
Keyword(s):  
Extraction Method ◽  
Region Extraction

Underwater Image Transition Region Extraction and Segmentation Based on SVM

2013 ◽  
Vol 397-400 ◽  
pp. 2171-2176 ◽  
Author(s):  
Cong Ping Chen ◽  
Lei Zou ◽  
Wei Wang
Keyword(s):  
Support Vector Machine ◽  
Transition Region ◽  
Extraction Method ◽  
Support Vector ◽  
Gray Level ◽  
Local Difference ◽  
Underwater Image ◽  
Local Complexity ◽  
Region Extraction ◽  
Segmentation Threshold

By analyzing the gray level features of transition region, a new underwater image transition region extraction method based on Support Vector Machine (SVM) is presented. At first, a vector is constructed to fully describe the transition region, which includes local complexity, local difference and neighborhood homogeneity. Then, SVM is applied to train and classify the set of feature vectors, so that the transition region of the underwater image is extracted. Finally, the segmentation threshold is determined by mean of the histogram of the transition region, and the binary result was yielded. The experimental results show that the proposed algorithm can achieve a better transition region extraction and segmentation performance, and automatically select the optimal threshold for transition region extraction.

A region extraction method using a distance function between images

1986 ◽  
Vol 17 (5) ◽  
pp. 75-83
Author(s):  
Tomoharu Nagao ◽  
Takeshi Agui ◽  
Masayuki Nakajima
Keyword(s):  
Distance Function ◽  
Extraction Method ◽  
Region Extraction
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