Title :
A new localized phase congruency based object detector for X-ray images
Author :
Tian, Xue ; Yang, Xu
Author_Institution :
Inst. of Electr. & Mech. Eng., Jiaxing Univ., Jiaxing, China
Abstract :
In this paper, we present a novel method for automatically computing phase congruency at appropriate scales and orientations. Compared with Kovesi´s phase congruency method, there are two distinct improvements in our method. First, our local phase information can be evaluated in a rotation invariant manner. Therefore, no orientation sampling is required. Second, the phase congruency is computed in a localized way, so there is no need to take all scales into consideration. Thus the computation load is reduced greatly and in the meanwhile this method can gain sub-pixel accuracy. We apply our algorithm to the endotracheal tube detection on X-ray image. Comparative experimental results show the efficiency of our method.
Keywords :
Fourier transforms; X-ray imaging; feature extraction; image resolution; medical image processing; object detection; X-ray images; endotracheal tube detection; localized phase congruency; object detector; subpixel accuracy; Computer vision; Cybernetics; Image edge detection; Image processing; Machine learning; Object detection; Phase detection; X-ray detection; X-ray detectors; X-ray imaging; Feature extraction; Image processing; Object detection; Phase congruency; Scale space;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212318