Amr R. Abdel-Dayem and Mahmoud R. El-Sakka, "Multi-Resolution
Segmentation Using Fuzzy Region Growing for Carotid Artery
Ultrasound Images", International Computer Engineering
Conference,Vol. IP, pp. 40-47, December 2006, Cairo, Egypt.
This paper introduces a segmentation method based on
multi-resolution analysis and fuzzy region growing technique.
The proposed scheme consists of five major stages. These
stages are pre-processing, wavelet transform, fuzzy
segmentation, segmented image projection and finally boundary
extraction stage. Experimental results demonstrate the
efficiency of the proposed scheme in segmenting carotid artery
ultrasound images. It reduces the computational cost of a
fuzzy region growing based segmentation scheme, as the fuzzy
region growing algorithm is applied to a small low resolution
image. Meanwhile, the segmentation accuracy is increased as
the proposed scheme is more robust to noise and hence, it
prevents over segmentation in the final segmented images.