近年来图像拼接技术的研究与应用随着人们生活以及科学研究的需要正受到越来越多的关注。图像拼接(Image Mosaics)主要是利用现有的计算机等设备,将两幅或者多幅具有相关重叠区域的图像拼成一幅大型的无缝高分辨率图像的技术。本文通过介绍图像拼接技术的图像获取、图像预处理、图像配准以及图像融合等步骤,并利用Visual C++中的MFC编程实现了两幅简单的具有一定重叠区域的位图的拼接。

图像拼接技术研究与应用

陈琳1,2，祝传贝1,2

（1.同济大学CAD研究中心, 上海201804；2.同济大学企业数字化技术教育部工程研究中心, 上海200092）

摘要：近年来图像拼接技术的研究与应用随着人们生活以及科学研究的需要正受到越来越多的关注。图像拼接（Image Mosaics）主要是利用现有的计算机等设备，将两幅或者多幅具有相关重叠区域的图像拼成一幅大型的无缝高分辨率图像的技术。它突破了传统图像获取设备的局限性，正在广泛的被应用于航空航天、医学图像分析、计算机视觉、视频监控等领域中，是当前图像处理领域的一个非常重要的分支。本文通过介绍图像拼接技术的图像获取、图像预处理、图像配准以及图像融合等步骤，并利用Visual C++中的MFC编程实现了两幅简单的具有一定重叠区域的位图的拼接。

关键词：图像拼接，算法，配准，融合，C++

中图分类号：TP311

Research and application of image mosaic

technology

In recent years, the research and application of image stitching technology along with the people's life and the need of scientific research has been paid more and more attention. Image mosaic technology refers to making use of computers and other devices to lettwo or more images with certain overlap region mosaic together that can form a newimage of large seamless high resolution image. It breaks through the limitation of traditional image acquisition devices, is widely used in aerospace, medical image analysis, computer vision, video surveillance and other fields, is a very important branch of the current image processing. This paper introduces the image stitching technology through the image acquisition, image preprocessing, image registration and image fusion step, and realized two pieces of a simple with some overlap region of the bitmap using Visual C++ splicing in MFC programming.

Keywords: image mosaic, algorithm, registration, fusion, C++

An optimized segmentation method based on snake

model

CHEN Lin1,2,ZHUChuan-bei1,2

(1.Research Center of CAD, Tongji University, Shanghai, 201804, China; 2.The Engineering Research Center for EnterpriseDigital Technology, Ministry of Education, Tongji

University, Shanghai, 200092, China)