【24h】

Edge Detection Based on Regulated Morphological Gradient

机译:基于形态学梯度的边缘检测

获取原文
获取原文并翻译 | 示例

摘要

Morphological gradient transform is a common way to detect both sharp and transition edges, but it tend to result in thick edges. A regulated morphological gradient method for edge detection is proposed corroding to Soille multi-scale gradient, while opening by reconstruction top-hat is used to replace traditional top-hat and ultimate erosion to erosion. First, morphological thick gradient is calculated, and then top-hat by reconstruction and ultimate erosion are employed to extract thin edges with less essential edges lost, and to avoid the small space edges merging. Experiments show that this method can efficiently detect thin edges without essential edges lost and edge point position bias under noiseless case, also it can result in good edges in the noise corrupted condition when the pre-filter is employed.
机译:形态梯度变换是检测锐利边缘和过渡边缘的常用方法,但它往往会导致边缘较厚。提出了一种边缘检测的形态学梯度调节方法,该方法可以腐蚀到Soille多尺度梯度,同时通过重建大礼帽来代替传统的大礼帽并最终腐蚀侵蚀。首先,计算形态上的厚梯度,然后使用通过重构和最终腐蚀的礼帽提取具有较少必要边缘损失的薄边缘,并避免小空间边缘合并。实验表明,该方法在无噪声的情况下,可以有效地检测出较薄的边缘,而没有必要的边缘丢失和边缘点位置偏差,并且在使用预滤波器的情况下,在噪声破坏的情况下可以产生良好的边缘。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号