Method of extracting contour in B-scan ultrasonic images
Guangde Song, Hui Zhang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
Due to the low resolution and few gray-levels in B-scan ultrasonic images, it is difficult to recognize their contours. This paper presents a new method to extract the contour of B-scan ultrasonic images. To get the image's edge, the discrete dyadic wavelet transform has been used on the image's histogram, and by detecting the zero-crossings after wavelet transform in the histogram, the image contours are obtained. An edge mould has been constructed based on the artificial extraction of concerned contours, which can be used to extract the particular contours of sequential images automatically. This algorithm has been successfully employed in contour extraction of human kidney B-scan ultrasonic images thus demonstrating its practical and satisfactory application potential.