摘要
Taking lapels as examples,the purpose of this paper is to study the problem of recognizing the same clothing component in the flat sketches. Supposing that the four lines in a lapel are concurrent and symmetrical,a mathematical lapel model is built. Then,a novel method for lapel recognition in fashion flat sketches based on the lapel model is proposed. In the image preprocessing stage, the images need to be cropped for two times in order to remove the blank background and extract the region of interest,respectively. In the concurrent recognition stage,line detection,θ selection,and curve fitting are applied to limiting candidate lines. In the symmetrical recognition stage, k-means clustering algorithm is employed to divide the selected lines into four clusters. The threshold values of the difference of corresponding weighted θ are set as lapel recognition criteria. Experiments demonstrate that the recognition accuracy of the proposed method is obtained at about 91. 7%.
Taking lapels as examples,the purpose of this paper is to study the problem of recognizing the same clothing component in the flat sketches. Supposing that the four lines in a lapel are concurrent and symmetrical,a mathematical lapel model is built. Then,a novel method for lapel recognition in fashion flat sketches based on the lapel model is proposed. In the image preprocessing stage, the images need to be cropped for two times in order to remove the blank background and extract the region of interest,respectively. In the concurrent recognition stage,line detection,θ selection,and curve fitting are applied to limiting candidate lines. In the symmetrical recognition stage, k-means clustering algorithm is employed to divide the selected lines into four clusters. The threshold values of the difference of corresponding weighted θ are set as lapel recognition criteria. Experiments demonstrate that the recognition accuracy of the proposed method is obtained at about 91. 7%.
