内积能量与边缘检测

Inertial Product Energy and Edge Detection

提出了一种新型的边缘检测算子——基于内积能量的边缘检测算子.在基于内积能量的边缘检测算子中,内积能量在增强图像边缘的同时能够有效地抑制图像中的噪声和细节,因而它能较好地解决传统边缘检测算子的噪音抑制和边缘定位精度之间的矛盾.实验结果表明:与经典的Canny边缘检测算子相比,在具有相当边缘定位精度的条件下,基于内积能量的边缘检测算子对图像噪音和细节具有更强的抑制能力.此外,它还具有对参数调节不敏感的优良性质.

In this paper, a novel image edge detector called the inertial product energy-based edge detector is presented. The inertial product energy is introduced, which can not only enhance the main edges but also simultaneously weaken the noise and tiny edges in image, and thus a better trade-off between de-noising and edge-locating can be obtained by using the inertial product energy. The experiment results in this paper show that compared with the classic Canny edge detector, in the case of offering the equivalent precision for edge locating, the inertial product energybased edge detector performs better in de-noising and tiny edges controlling. Furthermore, the new detector is less sensible to the adjustment of the parameters.