Image Segmentation Using N - Cut Based Graph Partitioning | Chapter 08 | Advances in Mathematics and Computer Science Vol. 4
The process of image segmentation is
one of the most important steps in computer vision for image retrieval, visual
summary, image-based modeling and in many other processes. The goal of
segmentation is typically to locate certain objects of interest. In this paper,
we have studied and investigated graph based normalized cut segmentation
methods and proposed a technique for adding flexibility to the parameters for
performance improvement. These methods are examined analytically and tested
their performance for the standard images. The results obtained for the
important metrics show that these methods perform better than others approach
and are computationally efficient, and useful for precise image segmentation.
Author(s) Details
Sheetal Ghorpade
RMD Sinhgad School of
Engineering, Pune – 411058, India.
Comments
Post a Comment