基于描述的微血管网络图象压缩

Compression of Microvascular Network Images Based on Description

微血管网络图象已日渐成为临床诊断和科学研究的重要依据，为了压缩无用数据，保留已有测量结果，本文提出了基于描述的微血管网络图象压缩技术。通过血管提取、细化等步骤，最后建立了相应于原血管图的数学描述结构，这种方法使数据达到了极高的压缩比。借助于生成的描述结构，可以方便地获得已有的测量结果而无需对图象作恢复和再测量。由于描述保留了足够充分的网络构造信息，因此使网络重构成为可能。

This paper presents a compress method of microvascular network images based on description. Processing the image by noise elimination, thresholding and thinning, we establish the mathematical representation of original image. We can get a series of parameters from expression and no need to reconstruct or remeasure images. Due to the description reserve the plenty of information of micrcoirculatory morphology, it is possible to get the reconstruction of network, and get the higher compressing ratio