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Auto Level Color Correction for Underwater Image Matching Optimization

Pramunendar, Ricardus Anggi and Shidik, Guruh Fajar and Supriyanto, Catur and Andono, Pulung Nurtantio and Hariadi, Mochamad (2014) Auto Level Color Correction for Underwater Image Matching Optimization. Document Repository.

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Abstract

The absorption of the light by sea water and light scattering by small particles of underwater environment has become an obstacle of underwater vision researches with camera. It gives impact to the limitation of visibility distances camera in the sea water. The research of 3D reconstruction requires image matching technique to find out the keypoints of image pairs. SIFT is one of the image matching technique where the quality of image matching depends on the quality of the image. This research proposed HSV conversion image with auto level color correction to increase the number of SIFT image matching. The experimental results show the number of image matching is increase until 4 %. Key words: Auto Level Color Correction, HSV, SIFT Matching, Underwater Image.

Item Type: Article
Subjects: T Technology > Teknik Informatika > INF Informatika
Universitas Dian Nuswantoro > Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika
Semantik 2013 > INF Informatika
Divisions: Library of Congress Subject Areas > T Technology > Teknik Informatika > INF Informatika
Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika
Semantik 2013 > INF Informatika
Depositing User: Psi Udinus
Date Deposited: 17 Dec 2014 11:21
Last Modified: 09 Oct 2015 16:13
URI: http://eprints.dinus.ac.id/id/eprint/14134

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