Effective Marker Based Watershed Transformation Method for Image Segmentation

摘要

The objective of this work is to develop a segmentation model in order to remove the portion of lung for the treatment of certain illness such as lung cancer, and tumours. Image segmentation is the process of dividing an image into multiple parts. This method is vital to identify objects or other relevant information in digital images.During past few years we have gone across many region-based segmentation, data clustering, watershed segmentation, atlas based segmentation and edge-base segmentation algorithms, This work implements Marker based watershed transformation with the combination of both watershed transformation. In segmentation could be used for occlusion boundary,object recognition estimation within stereo or motion systems, image compression, image database look-up or image editing.Existing system segmentation is limited, But this System perform the segmentation for the lung image. Lung image contains the parts of Fissures, Vessels, and Bronchi.To segment this fissures, vessels and bronchi from the lung image, we perform the process of marker based watershed method.This segmentation technique is mainly used for find out the incomplete fissures. Thus this process provides the quality segmentation process.