论文标题
使用小波和能量操作员的基于模糊的边缘增强
Fuzzy based Edge Enhancement using Wavelets and Energy Operator
论文作者
论文摘要
边缘增强和保存边缘以强调图像功能是计算机视觉中的重要任务。传统的操作员可能会导致错误的边缘检测。在本文中，提出了一个模糊的推理系统（FIS），它与基于小波（WT）的多向和多级边缘查找技术结合使用，以获得良好的边缘本地化。将WT分解应用于原始图像之后，将系数从水平，垂直和对角线方向滤出。将非线性能量操作员应用于所有WT分解以证实边缘像素。该能量计算的边缘系数被放入FIS中以更好地增强。由于WT允许将图像分离为频带而不会影响空间位置，因此进一步强调了真实的边缘像素。
Edge enhancement and preservation of edges to emphasize the features for images is an essential task in computer vision. The conventional operators may cause false edge detection. In this paper, a fuzzy inference system (FIS) is proposed, which combines with Wavelet (WT) based multidirectional and multilevel edge finding technique for getting good edge localization. After applying of WT decomposition on the original image, the coefficients are filtered out from horizontal, vertical, and diagonal directions. A non-linear energy operator is applied to all WT decomposition to corroborate the edge pixels. This energy calculated edge coefficients are given into the FIS for better enhancement. Since WTs allow for separation of the image into frequency bands without affecting spatial locality, the real edge pixels are further emphasized.
