A Point-to-Line Based Model for Digital Image Mosaicking
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Abstract
In this work a mathematical model for mosaicking of digital images is proposed. The main characteristic of the proposed model is its approach to point-to-line, which consists in aligning locally pairs of digital images. The main points to be discussed in this study are: 1) line extraction; 2) estimation of the transformation parameters between pairs of digital images; 3) Digital mosaicking. Firstly, a buffer for reference and search images are defined. Then, lines are extracted using a tool for line detection and extraction implemented by Artero (1999). For each buffer is obtained an orderly grouping of lines. The correspondences between clustered lines are manually established. A mathematical transformation that maps each mid-point of the extracted line in the reference image into a corresponding line in the search image is proposed to estimate the transformation parameters. Finally, the values of the estimated transformation parameters are introduced in a construction matrix. The result is a mosaicked digital image derived from remotely piloted aircraft (RPA).
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