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Interactive ROI Segmentation using Graph Cuts

Khalid Housni 1 Driss Mammass 1 Youssef Chahir 2 
2 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image et Instrumentation de Caen
Abstract : Energy minimization by graph cuts is increasingly used in computer vision. One of the most attractive aspects of this approach is that it allows, under certain conditions, to find global minima of functions, avoiding the pitfall of classical local minima. In this paper, we describe our semisupervised approach of visual objects segmentation from a priori information, reducing the space of research. Then, we present different applications and we discuss the application of this method on color images and we evaluate a number of functions of penalties used for the construction of the graph.
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Submitted on : Monday, April 15, 2013 - 3:13:08 PM
Last modification on : Saturday, June 25, 2022 - 9:47:19 AM


  • HAL Id : hal-00813390, version 1


Khalid Housni, Driss Mammass, Youssef Chahir. Interactive ROI Segmentation using Graph Cuts. ICGST International Journal on Graphics, Vision and Image Processing, GVIP, 2009, 09 (VI), pp.1-6. ⟨hal-00813390⟩



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