Image Segmentation Using N – Cut Based Graph Partitioning

Science Press Release Distribution Services

Image Segmentation Using N – Cut Based Graph Partitioning

November 22, 2019 Mathematics and Computer Science 0

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.

For more information contact author

Sheetal Ghorpade
RMD Sinhgad School of Engineering, Pune – 411058, India.
E-mail: [email protected]

View Volume: http://bp.bookpi.org/index.php/bpi/catalog/book/97

 

Leave a Reply

Your email address will not be published. Required fields are marked *