Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/5042
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
Dissertations, Academic
University of Balamand--Dissertations
Issue Date: 2021
Abstract: 
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.
Description: 
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

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