Graph cut segmentation method and its application in medical images

• Main Authors: Norouzi, Alireza, Mat Amin, Ismail, Mohd. Rahim, Mohd. Shafry, Rad, Abdolvahab Ehsani
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2015
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/55511/1/IsmailMatAmin2015_GraphCutSegmentationMethodanditsApplication.pdf; http://eprints.utm.my/id/eprint/55511/; http://dx.doi.org/10.11113/jt.v75.5061

Graph cut is an interactive segmentation method. It works based on preparing graph from image and finds the minimum cut for the graph. The edges value is calculated based on belonging a pixel to object or background. The advantage of this method is using the cost function. If the cost function is clearly described, graph cut is presents a generally optimum result. In this paper graph concepts and preparing graph according to image pixels is described. Preparing different edges and performing min cut/max flow is explained. Finally, the method is applied on some medical images.