论文标题
使用多尺度和多向Gabor滤波器的彩色图像边缘检测
Color Image Edge Detection using Multi-scale and Multi-directional Gabor filter
论文作者
论文摘要
在本文中，提出了一种颜色边缘检测方法，其中使用多尺度Gabor滤波器从输入颜色图像获取边缘。提出的方法的主要优点是在保持良好的噪声稳健性的同时达到了高边缘检测精度。提出的方法包括三个方面：首先，由于其宽阔的着色区域和均匀的颜色分布，RGB颜色图像被转换为CIE L*A*B*空间。其次，使用一组Gabor过滤器来平滑输入图像，并提取了色边缘强度图，并将其融合到具有噪声稳健性和准确边缘提取的新ESM中。第三，将熔融ESM嵌入精美探测器的途径中会产生噪声颜色边缘检测器。结果表明，所提出的检测器在检测准确性和噪声过程中具有更好的经验。
In this paper, a color edge detection method is proposed where the multi-scale Gabor filter are used to obtain edges from input color images. The main advantage of the proposed method is that high edge detection accuracy is attained while maintaining good noise robustness. The proposed method consists of three aspects: First, the RGB color image is converted to CIE L*a*b* space because of its wide coloring area and uniform color distribution. Second, a set of Gabor filters are used to smooth the input images and the color edge strength maps are extracted, which are fused into a new ESM with the noise robustness and accurate edge extraction. Third, Embedding the fused ESM in the route of the Canny detector yields a noise-robust color edge detector. The results show that the proposed detector has the better experience in detection accuracy and noise-robustness.
