Title :
Ultrasound CT Image Segmentation Based on Region Growing
Author :
Hao-quan, Wang ; Hao, Xing
Author_Institution :
Key Lab. on Instrum. Sci. & Dynamic Meas. of the Minist. Educ., North Univ. of China, Taiyuan, China
Abstract :
Based on characteristics of ultrasound CT images and principles of segmentation, the largest gray value of pixels in flaw areas is taken as seed points in order to meet the pixel proximity for the criterion of region growing. Through changing segmentation direction, a new segmentation method can be obtained. The experiment verified that the method has achieved above 95% to integrity and accuracy of target areas which are small. The method can better solve the contradiction between anti-noise and segmentation precision.
Keywords :
computerised tomography; image denoising; image resolution; image segmentation; medical image processing; ultrasonic imaging; pixel proximity; region growing; ultrasound CT image segmentation; Area measurement; Clustering algorithms; Computed tomography; Computer science; Computer science education; Educational technology; Image segmentation; Instruments; Pixel; Ultrasonic imaging; component; gray histogram; image segmentation; region growing;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.135
