Graph Cuts and Efficient N-D Image Segmentation
نویسندگان
چکیده
منابع مشابه
Graph Cuts for Image Segmentation
In computer vision, segmentation is the process of partitioning digital image into multiple regions (sets of pixels), according to some homogeneity criterion. The problem of segmentation is a well-studied one in literature and there are a wide variety of approaches that are used. Graph cuts has emerged as a preferred method to solve a class of energy minimization problems such as Image Segmenta...
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In this paper we describe a new technique for general purpose interactive segmentation of N-dimensional images. The user marks certain pixels as “object” or “background” to provide hard constraints for segmentation. Additional soft constraints incorporate both boundary and region information. Graph cuts are used to find the globally optimal segmentation of the N-dimensional image. The obtained ...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2006
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-006-7934-5