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Received:January 21, 2019 Revised:February 21, 2019
Received:January 21, 2019 Revised:February 21, 2019
中文摘要: 本文从局部能量的角度提出了一种有效的图像边缘检测方法.在以一个像素点为中心的对称区域中，计算区域内所有像素的灰度值与中心像素的灰度值之间的差值，将差值平方的总和作为中心点所对应的局部能量.该局部能量可以有效地用于检测图像的边缘，因为边缘点的局部能量要比对应光滑区域内的像素点大得多.根据本文所构造的局部能量函数可以有效地找到边缘点.本文使用Baddeley误差度量（BEM）方法来评估本文方法检测结果的准确性.实验结果表明本文方法检测效果比较好.
Abstract:In this study, an effective method about image edge detection is proposed from the local energy. In the symmetrical region centered on one pixel, we compare the differences of the gray value between every pixel all around the region and the pixel in the center. And the local energy of the central pixel is the sum of all the difference squares. The local energy can be used to detect the image edge effectively, because the local energy of the edge point is bigger than the pixel in the smooth region. And edge point can be precisely found, according to the local energy function constructed in the study. The Baddeley Error Metric (BEM) method is used to evaluate the accuracy of the proposed method. The experimental results show that the proposed method is better.
keywords: edge detection local energy Baddeley Error Metric (BEM) Berkeley Segmentation Data Set (BSDS)
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基金项目:国家自然科学基金（11571293）
引用文本：
潘园园,曾笑云,刘洋,杨晟院,左国才.基于局部能量的边缘检测方法.计算机系统应用,2019,28(8):39-45
PAN Yuan-Yuan,ZENG Xiao-Yun,LIU Yang,YANG Sheng-Yuan,ZUO Guo-Cai.Edge Detection Method Based on Local Energy.COMPUTER SYSTEMS APPLICATIONS,2019,28(8):39-45
潘园园,曾笑云,刘洋,杨晟院,左国才.基于局部能量的边缘检测方法.计算机系统应用,2019,28(8):39-45
PAN Yuan-Yuan,ZENG Xiao-Yun,LIU Yang,YANG Sheng-Yuan,ZUO Guo-Cai.Edge Detection Method Based on Local Energy.COMPUTER SYSTEMS APPLICATIONS,2019,28(8):39-45
