Designing an Auto Cropping Application System for Fish Eye Image Using the Edge Detection Method

Autor:	Luther Latumakulita, Altien J. Rindengan, Jullia Titaley, Brian Sulu
Rok vydání:	2019
Předmět:	business.product_category Computer science business.industry General Arts and Humanities Fish eye GeneralLiterature_MISCELLANEOUS Edge detection Image (mathematics) Archipelagic state Digital image Fish Computer vision Artificial intelligence business Cropping Digital camera
Zdroj:	d'CARTESIAN:Jurnal Matematika dan Aplikasi; Vol 8, No 2 (2019): September 2019; 141-146
ISSN:	2685-1083 2302-4224
DOI:	10.35799/dc.8.2.2019.24255
Popis:	Indonesia is one of the largest archipelagic countries in the world with the ocean area is larger than the mainland. This potential provides a great opportunity to do research in the maritime sector. The purpose of this research is to develop the application system that can automatically recognize and separate the fisheye images using the edge detection method. By using 20 fish digital images which taken by digital camera, the application system can recognize and separate the fisheye characteristic features with a good accuracy of 90%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::936b340ddd3c5d3172dd036b9d6d661f https://doi.org/10.35799/dc.8.2.2019.24255 Zobrazit plný text záznamu