Title :
Distinguishing different stages of mouse pregnancy using Second Harmonic Generation images
Author :
Yousefi, S. ; Kehtarnavaz, N. ; Akins, M. ; Luby-Phelps, K. ; Mahendroo, M.
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
This paper presents an image processing approach for distinguishing three pregnancy stages of mice using Second Harmonic Generation (SHG) microscopy images. Three classes of SHG images for day 6, day 12 and day 18 of the 19-day mouse gestation period are considered. A classification is performed based on morphological features previously used for such SHG images, wavelet-based texture features, and a combination of morphological and wavelet-based texture features. It is shown that the combination of the features provide a more effective mechanism for distinguishing the three stages of mouse pregnancy as compared to each separate set of features.
Keywords :
biomedical optical imaging; image classification; image texture; medical image processing; optical harmonic generation; wavelet transforms; gestation; image classification; image processing; morphological features; mouse pregnancy; second harmonic generation images; wavelet-based texture features; Biomedical imaging; Feature extraction; Frequency conversion; Image processing; Mice; Microscopy; Nonlinear optics; Optical harmonic generation; Pediatrics; Pregnancy; Second harmonic generation imaging; biomedical application; classification; wavelet-based texture features;
Conference_Titel :
System Theory (SSST), 2010 42nd Southeastern Symposium on
Conference_Location :
Tyler, TX
Print_ISBN :
978-1-4244-5690-1
DOI :
10.1109/SSST.2010.5442801