二值图像形态滤波与滤波效果的定量评价

就多种形态滤波模型的特点进行了对比分析，并在此基础上提出了形态薄化和厚化滤波模型．此外，还构建了集合对称差距离作为评价形态滤波效果的定量指标．试验结果表明，新滤波模型在去除图像背景和目标中线性噪声方面十分有效，其定量评价指标也优于其它形态滤波模型

Morphological Filters of Binary Image and Quantitative Evaluation on Filtering Result

The characteristics of several morphological filtering models are analyzed and compared. Based on these models, a new morphological filtering model named as morphological thinning and thickening filter is advanced. Meanwhile, set symmetric difference distance is made as an index to evaluate the filtering results quantitatively. The test result has proved that the new filter model is effective in removing linear noises both on background and in target, and it has superiority to other filters in quantitative evaluation index.