Please use this identifier to cite or link to this item:
|Title:||An image segmentation system : a novel super pixel based approach applied to image segmentation||Authors:||Abboud, Elie||Advisors:||Dagher, Issam||Keywords:||Superpixels algorithm, Image Processing, Image Segmentation||Subjects:||Image processing
University of Balamand--Dissertations
Nowadays, image segmentation has become an important topic in many fields like medical, machine vision, object detection, etc. In this context, many researchers have worked on improving the reliability of image segmentation systems and several methods were developed for this purpose. This paper presents an improved super pixel-based approach applied to image segmentation. The developed approach is based on obtaining an optimum number of clusters and regions of an image. Edge detection, Color frequencies, and texture measures are used in developing the new algorithm. It is compared with other techniques using different segmentation and clustering measures. The results show the improved performance of the proposed technique.
Includes bibliographical references (p. 45-52)
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/5042||Rights:||This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder||Ezproxy URL:||Link to full text||Type:||Thesis|
|Appears in Collections:||UOB Theses and Projects|
Show full item record
checked on Nov 30, 2023
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.