A LOCAL CLUSTERING SEGMENTING METHOD FOR ANATOMICAL CROSS-SECTIONAL IMAGE OF CHINESE DIGITAL HUMAN
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Department of Traumatology and Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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2006-07-14
2007-01-10
2007-08-06
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Abstract
Objective This article aimed to describe an interactive segmenting method for serial anatomical cross_sectional image of Chinese Digital Human(CDH) using commercially available software, Photoshop CS (Adobe; San Jose, CA, Corel KnockOut 20 plug_in) and Matlab 70(Math Works; Worcester, MA). Methods First, the interesting region was segmented from the image interactively utilizing the Knochout menu of AdobeD○R PhotoshopD○R which had a powerful masking function. And then smooth contour was acquired precisely by morphological operation function and edge detection operator(the Sobel method) in Matlab. Results The segmentation and classification of bone, muscle and main vascular nerve were fulfilled successfully and the smooth contour l