Amr Abdel-Dayem and Mahmoud R. El-Sakka, "Carotid Artery
Contour Extraction from Ultrasound Images Using
Multi-Resolution-Analysis and Watershed Segmentation Scheme",
International Journal on Graphics, Vision and Image
Processing, Vol 5, No. 9, pp. 1-10, December 2005.
This paper introduces a novel segmentation scheme based on
multi-resolution analysis and watershed segmentation
algorithm. The proposed scheme consists of six major stages.
These stages are 1) pre-processing, 2) wavelet transform, 3)
image denoising, 4) watershed segmentation, 5) segmented image
projection and finally 6) boundary extraction. Experimental
results demonstrated the efficiency of the proposed scheme in
segmenting carotid artery ultrasound images, where the
computational cost of the watershed-based segmentation scheme
is reduced, as it is applied to a small low‑resolution image.
At the same time, the segmentation accuracy is increased as
the proposed scheme is more robust to noise and hence, it
prevents over segmentation in final segmented images.