摘要
分析实验获取的霜层显微图像,为建立霜层结构模型提供基础。首先采用小波变换的方法去除图像中的噪声,随后使用最大类间方差法求得了合适的门限值,对图像进行灰度级门限化分割,将原图像转换为二值图像。通过对二值图像的分析,可以得到霜层的高度、固含率、冰晶体沉积量以及冰晶体在不同高度的分布等参数。结果表明,数字图像处理技术是研究霜层生长初期冰晶体结构的一种可行手段。
The amplificatory image of frost layer is analyzed for founding frost structure model. Firstly, the wavelet transform is used to denoise. Then proper threshold value is gotten by maximal variance between class method, and then a binary image is gotten by segmenting the target. Several parameters, such as frost height, solid holdup, quantity of ice crystal and distribution of ice crystal at different level and so on can be gotten by analyzing this binary image. The result indicates that digital image processing method supplies a feasible means to study the ice crystal structure at initial time of frost growth.
出处
《建筑热能通风空调》
2007年第2期97-100,共4页
Building Energy & Environment
基金
东南大学基金赞助(9203002149)
关键词
霜层结构
数字图像处理
小波变换
frost structure, digital image processing, wavelet transform
