Matlab光电数字图像背景合成技术研究
本文在Matlab 环境中，通过Matlab的语言编程实现虚拟数字图像提取与合成系统，试图建立有效的图像目标与虚拟背景合成模型，并实现图像目标与虚拟背景合成算法，给出实验结果及结论。关键词 图像处理 图像分割 数字图像合成 Matlab
毕业论文设计说明书外文摘要
Title Study on Background Composition of Photoelectric Digital Images
Abstract
In modern time, digital image composition has become an essential technology in many professions, especially in film and television industry for its people-friendly operation and low cost. During the shoot of movies, the producer need to composite some different scenes from separate time together in order to realize some special effects. And when the composition was in process, the digital image composition emerged as the times require. Currently, there are two main types of digital image composition, one is background color image composition, the other is natural image composition. Because of its enormous potential of application and values in the academic realm, digital image composition attracts wide attention of researchers in the field of computer vision and computer graphics.
The authors used Matlab environment, by using Matlab programming language to implement virtual digital image composition and compositing system, trying to establish an effective image target background composition model and realize image goals with background composition algorithm giving the experimental results and conclusions.
Keywords image processing image segmentation digital image composition Matlab
目 次
1 引言 1
1.1 研究背景 1
1.2 研究现状 3
1.3 论文的主要内容和安排 3
2 目标提取 5
2.1 图像分割的概念 5
2.2 图像分割的方法分类 5
3 程序实现过程 15
结论 23
致谢 24
参考文献 25
图1-1 虚拟演播室蓝幕背景 1
图1-2 电影拍摄中的绿幕背景 2
图2-1 图像分割所处的位置 6
图2-2-1 边缘检测-Sobel算子 7
图2-2-2 边缘检测-Canny算子 7
图2-2-3 边缘跟踪 8
图2-2-4 图像的直方图 9
图2-2-5 原图转换得到的灰度图像和输出的二值图像 10
图2-2-6 分水岭阈值法处理结果对比01 11
图2-2-7 分水岭阈值法处理结果对比02 11
图2-2-8 区域生长对比 13
图2-2-9 对RGB图像进行区域生长 13
图2-2-10 对RGB图像进行区域生长结果 14
图3-1 Matlab界面及命令窗口 15
图3-2 所选前景图1 16
图3-3 所选前景图2 16
图3-4 因颜色提取造成的前景目标缺失 17
图3-5 区域生长二值图像 17
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