Auto Level Color Correction for Underwater Image Matching Optimization
International Journal of Computer Science and Network Security (IJCSNS), Vol.13, No.1, January 2013
The absorption of the light by seawater 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 an HSV conversion image with autolevel color correction to increase the number of SIFT image matching. The experimental results show the number of image matching is increase until 4 %.
Keywords: Auto Level Color Correction, HSV, SIFT Matching, Underwater Image.