一种新的彩色图像碎片全自动拼接算法

目的为了实现横向和纵向分切的彩色图像碎片的拼接,提出针对同一张经过横向和纵向分切的彩色图像碎片建立关于相关系数的拼接复原模型和算法。方法通过获取彩色图像碎片的各单色图像,并提取单色图像边缘的灰度值,根据图像碎片边缘灰度值之间的相似程度自动拼接碎片。结果文中算法对彩色图像碎片的拼接效果优于常规算法,实验中采用100张彩色图,对每张彩图分切成64张300×300像素的彩图碎片进行顺序复原,综合拼接成功率达到100%,拼接平均耗时1.59 s。此外,文中算法实验性强,不仅能拼接仅纵切的图像,还能拼接横向和纵向分切的彩色图像。结论实验结果表明该算法对彩色图像碎片的拼接具有很好的适应性和可重复性,对图像碎片的大小和颜色无严格要求,是一套完整有效的针对规则彩色图像碎片的全自动拼接方案。

A New Automatic Stitching Algorithm for Color Image Fragments

The work aims to propose a stitching restoration model and algorithm about the correlation coefficient based on the color image fragments divided into horizontal and vertical slices, in order to realize the stitching of the color image fragments in the horizontal and vertical slices. By obtaining each monochrome image of the color image fragments and extracting the gray value of the monochrome image edge, the fragments were automatically stitched according to the similarity between gray values of the image fragment edge. The stitching effects of the color image fragments resulting from the proposed algorithm were superior to the conventional algorithm. In the experiment of 100 color images, the 64 pieces of color image fragments with 300×300 pixels cut from each color image were restored in order. The success rate of the comprehensive stitching reached 100%, and the stitching took an average time of 1.59 s. In addition, the proposed algorithm was strongly experimental. It could not only stitch the images divided into vertical slices, but also stitch the color images divided into horizontal and vertical slices. The experimental results show that the proposed algorithm has good adaptability and repeatability for the stitching of color image fragments. No strict requirements are needed for the size and color of the image fragments. The algorithm is a complete set of effective automatic stitching scheme for the regular color image fragments.