Rectangular Paper Scraps Recovery Based on a New Edge Detection
Xin Yu Cao · Applied Mechanics and Materials · 2014
For the regular rectangular paper scraps recovery problem, at first, I used the edge detection based on the improved wavelet analysis to numerically describe the outline of words on each of the pieces. Secondly, screening according to the line spacing to find out paper scraps which are located in the edge. Thirdly, do initial matching to select the best line as a benchmark for two-dimensional double match splicing. At last, I used two-dimensional double match to make the whole stitching come out. In this paper, the data would use the 2013 China National University Mathematical Modeling Competition topic B official data. The model not only can solve the problem of this article, also can be used to solve the problem of similar cutting conditions.