期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2010
卷号：1
期号：1
页码：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The objective of this paper is to develop a segmentation system in order to assist the surgeons to remove theportion of lung for the treatment of certain illness such as lung cancer, and tumours. The fissures of lunglobes are not seen by naked eyes in low dose CT image, there is a proposal for automatic segmentationsystem. The lung lobes and nodules in CT image are segmented using two stage approaches such asmodified adaptive fissure sweep and adaptive thresholding. Initially pre-processing is used to remove thenoise present in CT image using filter, then the fissure regions are located using adaptive fissure sweeptechnique, then histogram equalization and region growing is applied to refine the oblique fissure. LungNodules are segmented using thresholding. The comparative analysis of manual and automatic segmentationfor fissure verification has been performed statistically. The analysis is made on 20 set of images.
Loading...
