生物显微结构连续切片图象的象素地址矢量表达和三维重建信息加工

本文主要介绍一种适用于生物显微结构连续切片三维重建的图象表达方法——象素地址矢量法及其相应的图象信息加工方法:三维重建,三维模型绕任选空间轴旋转和用软件重新剖切.与常用的图象矩阵表达法相比,可以较多地节省序列图象所占的数据容量,便于在微机系统上对多种形态的显微结构进行三维重建信息加工.当对较大的图象进行分解与整合处理时,还避免了采用图象矩阵表达法可能遇到的边界问题.由于数据容量的减少,提高了图象处理的速度.这种图象表达及信息加工方法对包括生物活体时间序列图象在内的多种序列图象加工可能都是适用的.

PIXEL ADDRESS VECTOR REPRESENTATION OF IMAGES FROM SERIAL SECTIONS OF BIOLOGICAL MICROSTRU-CTURE AND its 3-D RECONSTRUCTION INFORMATION PROCESSING

This paper presents an image representational approach in pixel address vector for serial sections of biological microstructure and corresponding image information processing-3-D reconstruction,reconstructed 3-D model rotating round some selected spatial axes and recutting the model with computer software.Compared with conventional representation of image in matrix,the quantity of data for the same image sequence could be saved considerably.Consequently the 3-D reconstruction based on the principle of shading and subsequent image information processing of microstructures with various morphologies especially non-centresymmetrical microstructures could be accomplished using only a low level microcomputer graphics system. Moreover, when the image was representated in matrix the boundary problem induced by dividing and integratinga very large image could be avoided.Because of the decrase of image data,the speed of image information processing could be raised.This approach of image representation may be suitable also for other image sequences processing including time image sequence obtained from living things.