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机构地区:[1]安徽工业大学计算机学院,安徽马鞍山243002
出 处:《华中科技大学学报(自然科学版)》2009年第1期42-45,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)
基 金:安徽省自然科学基金资助项目(070412029);安徽省教育厅自然科学基金资助项目(2006KJ018A)
摘 要:针对传统主动轮廓模型在目标检测中存在的不足,对传统Snake算法进行了改进,用轮廓和目标间的频域距离来构造内力.分别研究了在单纯频域距离约束下和频域距离与图像力共同作用下Snake的变形行为.研究表明,在单纯频域距离约束下Snake能变形到目标、能量趋最小化,而在频域距离和图像力共同作用下Snake不能变形到目标.提出一种新的变参数Snake算法,该算法的变参数方式是让频域距离和图像力在Snake变形的不同阶段起作用,实验结果表明新的Snake算法可以变行到目标.Based on the disadvantage of finding objects of images with the active contour model, an improvement on the inner forces of active contour model wes implemented and the inner forces of active contour model were made of the frequency space distance between the contour and the objective. The distortion behaviors of active contour model were researched respectively when the restriction was alone frequency space distance or integration of frequency space distance and image forces. The experimental results showed that the active contour model under the restriction of alone frequency space distance can be distorted to the objects and the active contour model under the restriction of integration of frequency space distance and image forces cannot be distorted to the objective. A new Snake arithmetic is presented finally and the experimental result shows that that problem is solved.
关 键 词:图像处理 目标检测 动态轮廓模型 频域距离 Greedy算法
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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