Character segmentation on natural images with graph-based representation Doǧal Imgelerde Çizge Tabanli Gösterimle Karakter Bölütlenmesi

Ali Koksal, Zerrin Isik

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Computer vision approaches like shape based descriptors use silhouettes of objects in images. In this paper, a method to extract silhouettes of objects by segmenting images is proposed in order to describe them, especially characters that are obtained from natural images by using shape based descriptors. This method is binary segmentation approach that has a graph-based representation. Dominant intensity values of segments of an image and cut off intensity value to separate those segments are computed dynamically. Thus, characters that have similar dominant intensity value to the background can be segmented as well. Moreover, the performance of the proposed graph based method is compared with the performance of the global thresholding and it is observed that the success of the proposed method is better than the global thresholding.
Original languageEnglish
Title of host publication26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
ISBN (Electronic)9781538615010
DOIs
Publication statusPublished - 5 Jul 2018
Externally publishedYes
Event26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey
Duration: 2 May 20185 May 2018

Conference

Conference26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Country/TerritoryTurkey
CityIzmir
Period2/05/185/05/18

Fingerprint

Dive into the research topics of 'Character segmentation on natural images with graph-based representation Doǧal Imgelerde Çizge Tabanli Gösterimle Karakter Bölütlenmesi'. Together they form a unique fingerprint.

Cite this