首页> 外文会议>International Symposium on Computational Intelligence and Design >SIFT Image Stitching Technology Based on Music Score Scanning Recognition System
【24h】

SIFT Image Stitching Technology Based on Music Score Scanning Recognition System

机译:基于音乐分数扫描识别系统的筛选图像拼接技术

获取原文
获取外文期刊封面目录资料

摘要

Music score scanning recognition system, to identify musical notes through hand-held device by scanning five-line staff. Most of the music score scanning equipment equips with linear sensors, acquires the binary image according to the intensity of reflection of light with the irradiation of the front LED. However, because of the influence of illumination and differential rotation of this method, the acquired picture signal is incomplete with lots of noise. It describes a new collection method that is to use video instead of images and cut out several images, using the image stitching algorithm, to improve matching precision with the RANSAC algorithm. Simultaneously, use the weighted smoothing fusion algorithm based on the matching principle. Ultimately, realizes the stitching method based on SIFT feature matching in the music score scanning recognition system. Because of its high matching capacity, problems such as translation between two different images and illumination could be perfectly solved, the pictures look much more verisimilitude and the traditional deficiency could be improved.
机译:音乐得分扫描识别系统,通过扫描五行员工通过手持设备识别音符。大多数音乐分数扫描设备配备线性传感器,根据光线的反射强度与前面LED的照射获取二进制图像。然而,由于这种方法的照明和差分旋转的影响,所获取的图像信号与大量噪声不完整。它描述了一种新的收集方法,即使用视频代替图像并使用图像拼接算法切出几个图像,以提高与RANSAC算法的匹配精度。同时,使用基于匹配原理的加权平滑融合算法。最终,实现了基于SIFT特征匹配在音乐得分扫描识别系统中的拼接方法。由于其高匹配能力,两个不同的图像和照明之间的翻译可能完全解决,这些图片看起来更加真实,传统的缺陷可以得到改善。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号