CAJ | 학술논문

传统的分水岭算法在图像处理中具有保持微弱边缘信息良好的优点，但容易产生过分割问题。针对传统分水岭算法过分割的问题对分水岭合并算法进行了改进，结合沥青路面裂缝特点提出了梯度熵的概念，同时提出了自适应区域合并算法作为判断区域合并的准则，通过该方法在路面裂缝检测上的应用，实验结果表明，该方法与改进前分水岭算法相比，提取出的路面裂缝噪声少，细节保持得好，而且有效地解决了过分割问题。
전통적분수령산법재도상처리중구유보지미약변연신식량호적우점，단용역산생과분할문제。침대전통분수령산법과분할적문제대분수령합병산법진행료개진，결합력청로면렬봉특점제출료제도적적개념，동시제출료자괄응구역합병산법작위판단구역합병적준칙，통과해방법재로면렬봉검측상적응용，실험결과표명，해방법여개진전분수령산법상비，제취출적로면렬봉조성소，세절보지득호，이차유효지해결료과분할문제。
The traditional watershed algorithm in image processing has the advantage of remaining good weak edge information, but it is easy to cause the over-segmentation problem. Aimed at the over-segmentation problem of traditional algorithm, this paper improves the watershed merging algorithm, and proposes the concept of gradient entropy combined with characteristics of asphalt pavement cracks. At the same time, it puts forward an adaptive region merging algorithm as judged by region merging rules, the entropy as the criterion to judge whether region merging should be stopped as well. Then the method is applied in pavement cracks detection. The experimental results show that pavement cracks extracted by the method have little of noise, while details are remained well compared with the traditional threshold segmentation method, and then this method solves the over-segmentation problem effectively.