Title :
A seeded region growing algorithm for spot detection in medical image segmentation
Author :
Shah, Brijesh N. ; Shah, Satish K. ; Kosta, Y.P.
Author_Institution :
E&C Dept., CHARUSAT, Changa, India
Abstract :
The novel and robust seeded region grow segmentation technique is implemented for spot detection in Computerized Tomography scan image. Segmentation of scanned medical image is quite difficult task due to presence of speckle noise. The grey scale image is segmented into regions, with each region having closest seed correlation. The algorithm is rapid, free of tuning parameters and pixel order dependent. Experimental performance evaluation through manual seed selection demonstrates accurate and efficient segmentation results for chest scan image.
Keywords :
computerised tomography; grey systems; image segmentation; medical image processing; object detection; chest scan image; closest seed correlation; computerized tomography scan image; grey scale image; manual seed selection; medical image segmentation; seeded region growing algorithm; spot detection; Biomedical imaging; Color; Computed tomography; Conferences; Image segmentation; Information processing; Robustness; image segmentation; labeled pixels; pixel sorting; seeded region grow;
Conference_Titel :
Image Information Processing (ICIIP), 2011 International Conference on
Conference_Location :
Himachal Pradesh
Print_ISBN :
978-1-61284-859-4
DOI :
10.1109/ICIIP.2011.6108872
