An image parallel thinning algorithm for serial computers 一种适于串行机实现的图像并行细化算法
In this thesis, we give a simple method for character extraction, and then standardize the character based on the center of gravity . at last, we use mathematical morphology principle to thin the character . the primary work of this thesis includes giving an adaptive segmentation algorithm, and using morphology principle and sharpening algorithm to solve the problems occurring in noise removing; illustrating a simple method for character extraction; demonstrating the difference between serial thinning method and parallel thinning method; giving a algorithm based on unit circle projection and combining the texture feature for recognition 本文的主要工作包括:提出了一种自适应去噪的算法,并针对在去噪过程中出现的文字断笔现象运用形态学及锐化处理的方法进行修复及预防;给出了一种简单的文字分割的自动算法及手动方法;对比了串行细化和并行细化算法的不同;提出了一种基于单位圆投影的特征提取方法并结合纹理特征进行细分识别。
The main task of this paper concentrates on such parts as calibration of measurement sensor, high speed and accuracy image collection and processing, data fusion of different angle of view, visualization of measuring results . to accomplish sensor calibration, a pinhole model of the camera is employed and an equation of a light plane is setup . parameters such as the m array of the pinhole model and the normal vector of the light plane arc acquired through experiment . in image processing, we adopt the template-changing parallel thinning method to improve processing speed and accuracy 主要研究了摄像机针孔模型的建立及测量传感器的标定;图像的快速高精度的采集和处理,在图像处理中采用多帧平均算法,很好地解决了速度和精度之间的矛盾制约;根据旋动理论建立空间坐标变换数学模型,进而建立其不同视角下的测量数据融合算法,生成完整的物体三维数据集合;在vc平台下编写三维显示软件模块,完成三维测量结果的可视化,实现了三维物体的任意角度的观察、任意倍数的放大和缩小、任意方向平移及动画效果。