The Color Dissimilarity based Method among Other Segmentation Methods: A Comparison

Karma, I Gede Made and Darma Putra, I Ketut Gede and Sudarma, Made and Linawati, Linawati (2022) The Color Dissimilarity based Method among Other Segmentation Methods: A Comparison. In: International Conference on Emerging Issues in Technology, Engineering and Science, July 1-2, 2021, Bandung, Indonesia.

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Official URL: https://doi.org/10.5220/0010746800003113

Abstract

The segmentation process plays a very important role in the process of detecting and recognizing objects in an image. Although many segmentation methods have been developed, there is no method that can give good results and is generally accepted. This study aims to find a better segmentation method in finding patterns or ground-truths of objects in an image, so that these objects can be easily recognized. Based on the results shown by all the methods being compared, several methods were not successful in showing the pattern of objects contained in the sample image. The segmentation method based on color dissimilarity, which is a method that emulates the way humans recognize an object based on visible color differences, shows the best results compared to other methods. This method is a very suitable method to be used in the process of detecting and recognizing objects in an image.

Item Type: Conference or Workshop Item (Paper)
Subjects: Matematika Dan Ilmu Pengetahuan Alam (MIPA) > Matematika > Ilmu Komputer
Ilmu Teknik > Teknik Elektro Dan Informatika > Teknik Informatika
Divisions: Jurusan Akuntansi > Prodi D4 Akuntansi Manajerial > Publikasi
Depositing User: I Gede Made Karma
Date Deposited: 24 Dec 2022 08:52
Last Modified: 04 Aug 2023 02:41
URI: http://repository.pnb.ac.id/id/eprint/4897

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