文章基本信息

标题：Auto Level Color Correction for Underwater Image Matching Optimization
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作者：Ricardus Anggi Pramunendar ; Guruh Fajar Shidik ; Catur Supriyanto 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2013
卷号：13
期号：1
页码：18-23
出版社：International Journal of Computer Science and Network Security
摘要：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 %.
关键词：Auto Level Color Correction; HSV; SIFT Matching; Underwater Image.