建立了一种测量无规则裂缝宽度的量化模型，提出了一种真伪裂缝区域分割新方法.该方法通过边缘检测并利用形态学膨胀运算，在待测裂缝的两侧边缘区域选取近似等量的目标像素和背景像素后，设置门限以自适应选取最佳分割阈值，提取出裂缝区域，进而提取裂缝的走势及边缘像素，用建立的量化模型，即可实现宽度测量.该测量方法能有效克服裂缝图像的噪音较大、裂缝不规则等弊端，去除裂缝图像的伪裂缝区域，测量结果的重复准确度在0.1 mm以内.实验结果表明，该方法有效地实现了裂缝宽度的准确测量，具有较强的适应性.

A quantitative model of width measurement for irregular crack is established. A novel method on distinction between true and pseudo cracks is presented, which uses the theory of edge detection and morphological dilation operation. By selecting two approximate equivalent sets of target pixels and background pixels at the marginal areas of cracks′ both sides, the best threshold is calculated adaptively. Then the edge′s pixels and the movement of crack through the binarization image are extracted. Using the quantitative model, the width of crack can be measured. The experimental results show that the proposed method can effectively overcome the image noise, manipulate any irregular crack, and also remove the pseudo crack. The repeatability precision of the method is superior to 0.1 mm.