Title :
Object-oriented segmentation for microscopy images of lung tissue
Author :
Duan, Jun ; Zhang, Shibo
Author_Institution :
Sch. of Inf. Eng., Inner Mongolia Univ. of Sci. & Technol., Baotou, China
Abstract :
Image segmentation is a very important process in image processing; and it plays an extremely important role in the field of image recognition, image analysis and image understanding. The quality of segmentation will directly affect the efficiency and results on identification, analysis and understanding. According to the information entropy (IE) in information theory and the theory of mathematical morphology (MM), we analyze and process the microscopy image of lung tissue. Also with the idea of object-oriented, we give a reasonable definition for the target area of image, and provide a better solution for separating the target and background in an effective way.
Keywords :
biological tissues; entropy; image recognition; image segmentation; lung; mathematical morphology; medical image processing; image analysis; image processing; image recognition; image segmentation; image understanding; information entropy; information theory; lung tissue; mathematical morphology; microscopy images; object-oriented segmentation; Cancer; Image edge detection; Image segmentation; Information entropy; Morphology; Shape; image segmentation; information entropy; lung tissue; mathematical morphology; object-oriented;
Conference_Titel :
Broadband Network and Multimedia Technology (IC-BNMT), 2011 4th IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-61284-158-8
DOI :
10.1109/ICBNMT.2011.6156012
