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Sensors 2018, 18(4), 1214;

Improved Seam-Line Searching Algorithm for UAV Image Mosaic with Optical Flow

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China
Authors to whom correspondence should be addressed.
Received: 6 March 2018 / Revised: 8 April 2018 / Accepted: 12 April 2018 / Published: 16 April 2018
(This article belongs to the Special Issue Visual Sensors)
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Ghosting and seams are two major challenges in creating unmanned aerial vehicle (UAV) image mosaic. In response to these problems, this paper proposes an improved method for UAV image seam-line searching. First, an image matching algorithm is used to extract and match the features of adjacent images, so that they can be transformed into the same coordinate system. Then, the gray scale difference, the gradient minimum, and the optical flow value of pixels in adjacent image overlapped area in a neighborhood are calculated, which can be applied to creating an energy function for seam-line searching. Based on that, an improved dynamic programming algorithm is proposed to search the optimal seam-lines to complete the UAV image mosaic. This algorithm adopts a more adaptive energy aggregation and traversal strategy, which can find a more ideal splicing path for adjacent UAV images and avoid the ground objects better. The experimental results show that the proposed method can effectively solve the problems of ghosting and seams in the panoramic UAV images. View Full-Text
Keywords: UAV image; dynamic programming; seam-line; optical flow; image mosaic UAV image; dynamic programming; seam-line; optical flow; image mosaic

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Zhang, W.; Guo, B.; Li, M.; Liao, X.; Li, W. Improved Seam-Line Searching Algorithm for UAV Image Mosaic with Optical Flow. Sensors 2018, 18, 1214.

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