A Comparative Study of Various Interactive Image Segmentation Models

Author(s)	Jasbeer Kaur, Vidhi Sharma
Country	India
Abstract	The goal of image segmentation is to divide an image into regions that are homogeneous with respect to certain characteristics, such as color, intensity, or texture. Interactive image segmentation (IIS) methods are usually evaluated in terms of segmentation performance vs. number of clicks (NoC). However, the automatic evaluation depends on a clicking procedure and its relation to the procedure used for training. In this work we compare qualitatively and quantitatively three state-of-the-art IIS methods that report the best performances but have not been compared against each other.
Keywords	Interactive Image Segmentation, Accuracy, Dice, Intersection Over Union, Precision, Recall
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 4, July-August 2024
Published On	2024-07-20
Cite This	A Comparative Study of Various Interactive Image Segmentation Models - Jasbeer Kaur, Vidhi Sharma - IJFMR Volume 6, Issue 4, July-August 2024. DOI 10.36948/ijfmr.2024.v06i04.24495
DOI	https://doi.org/10.36948/ijfmr.2024.v06i04.24495
Short DOI	https://doi.org/gt43wz

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research