Stitching algorithm applied to camera array images for the visualization of Tubbataha reef grounding scars

Laurice Janette Dagum, F. J. Corpuz, M. Soriano, J. Jauod, E. Capili, R. J. Judilla
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引用次数: 2

Abstract

This paper presents a unique system specifically made to capture and create image mosaics of flat, wide, and shallow coral reefs at the Tubbataha Reefs Natural Park to assist in the rapid assessment of the reef scars caused by the grounding of the USS Guardian last January 17, 2013. This system is composed of an array of underwater cameras coupled with a GPS and depth logging device, and a mosaicking algorithm to stitch the images. The algorithm color corrects the images before creating panoramic strips of images across cameras. Linear regression is applied to the pixel shifts to smoothen values overlooked by the cross correlation function. The strips are then stitched across time to form image mosaics using modified fast image labeling. With an overlap of at least 30% between image frames, strips formed from an array of three cameras cover a distance more than twice the distance covered by a single camera.
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将拼接算法应用于相机阵列图像,实现图巴塔哈礁接地伤痕的可视化
本文介绍了一个独特的系统,专门用于捕捉和创建Tubbataha珊瑚礁自然公园的平坦,宽和浅珊瑚礁的图像马赛克,以协助快速评估2013年1月17日美国护卫舰搁浅造成的珊瑚礁疤痕。该系统由一组水下摄像机、GPS和深度记录设备以及一种拼接算法拼接图像组成。该算法在创建跨相机的全景图像条之前对图像进行颜色校正。线性回归应用于像素位移,以平滑被互相关函数忽略的值。然后使用改进的快速图像标记将这些条带拼接成图像马赛克。图像帧之间至少有30%的重叠,由三个相机阵列形成的条带覆盖的距离是单个相机覆盖距离的两倍以上。
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