Work

Image Segmentation By Sobel Edge Detection Algorithm - Mosaic Method

Year: 2018

Type: conference-paper

Abstract: Segmentation is one of the latest directions of digital imaging development, presented by partial segments which are parts of the same image.The currently used algorithms are rare and far from ideal.Depending on the situation, algorithms behave differently, so it is almost impossible to single out a unique conclusion.This paper gives a proposal for new segmentation techniques for the digital image processing with auxiliary Sobel edge detection algorithm and specially a defined threshold of detection.Matlab software is used for giving a particular conceptual design of a partial display of images and for correlating adequate numerical methods of digital processing.The study results confirm the quality of the proposed algorithm and position it for practical use and they also give guidelines for further improvements.

Source: International Scientific Conference Sinteza

DOI: 10.15308/sinteza-2018-189-196

Authors: Ratko Ivković, Ivana Milošević, Mile Petrović, Petar Spalević, Stefan Panić

Institutions: University of Priština - Kosovska Mitrovica, University of Prishtina, Academy of Technical and Art Applied Studies, Singidunum University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: Erasmus+

OpenAlex ID: W2804638596