Multiresolution edge detection based on modified bubble function and SWT

2006 ◽  
Vol 2 (1) ◽  
pp. 72-74 ◽  
Author(s):  
Rui-xing Yu ◽  
Yan-jun Li ◽  
Ke Zhang
Keyword(s):  
Edge Detection ◽  
Bubble Function ◽  
Multiresolution Edge Detection

Multiresolution edge detection using enhanced fuzzy c-means clustering for ultrasound image speckle reduction

2014 ◽  
Vol 41 (7) ◽  
pp. 072903 ◽  
Author(s):  
Stavros Tsantis ◽  
Stavros Spiliopoulos ◽  
Aikaterini Skouroliakou ◽  
Dimitrios Karnabatidis ◽  
John D. Hazle ◽  
...  
Keyword(s):  
Edge Detection ◽  
Ultrasound Image ◽  
Speckle Reduction ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Multiresolution Edge Detection

scholarly journals DETECTION OF ORTHOIMAGE MOSAICKING SEAMLINES BY MEANS OF WAVELET TRANSFORM

2016 ◽  
Vol XLI-B4 ◽  
pp. 45-50 ◽  
Author(s):  
K. Pyka
Keyword(s):  
Wavelet Transform ◽  
High Resolution ◽  
Edge Detection ◽  
Test Case ◽  
Alignment Method ◽  
Multiresolution Edge Detection ◽  
Very High ◽  
Redundant Wavelet Transform

The detection of orthoimage mosaicking seamlines by means of wavelet transform was examined. Radiometric alignment was omitted, giving priority to the issue of seamlines which bypass locations where there is a parallax between orthoimages. The importance of this issue is particularly relevant for images with very high resolution. In order to create a barrier image between orthoimages, the redundant wavelet transform variant known as MODWT-MRA was used. While more computationally complex than the frequently used DWT, it enables very good multiresolution edge detection. An IT prototype was developed on the basis of the described concept, and several cases of seamline detection were tested on the basis of data with a resolution of 10 cm to 1 m. The correct seamline location was obtained for each test case. This result opens the door to future expansion of the radiometric alignment method, which is also based on wavelets.

Sign in / Sign up

Export Citation Format

Share Document