ColorED: Color edge and segment detection by Edge Drawing (ED)
ColorED: Color edge and segment detection by Edge Drawing (ED)
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DOI：
10.1016/j.jvcir.2017.01.024
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发表时间：
2017-04-01
影响因子：
2.6
通讯作者：
Topal, Cihan
中科院分区：
文献类型：
--
作者：
Akinlar, Cuneyt;Topal, Cihan
我们扩展我们最近的边缘和段检测器，边缘绘图（GrayED），检测彩色图像中的边缘段。彩色图像的边缘绘制，名为ColorED，接受彩色图像，并输出一组边缘段，每个边缘段都是连续的1像素宽的像素链。检测到的边缘片段，然后通过一个'一个contrario'验证步骤，由于亥姆霍兹原理，以消除感知无效的检测。我们定量评估ColorED与不同的颜色空间和矢量梯度算子的精度召回框架内广泛使用的伯克利分割数据集和基准（BSDS 300），并将其结果与GrayED和彩色版本的Canny边缘检测器命名为ColorCanny。我们的结论是，彩色边缘检测一般上级灰度边缘检测，并与边缘段验证（ColorEDV）ColorED大大优于GrayED，ColorED，和ColorCanny，产生的F-分数为0.6593与DiZenzo和0.6747与罗盘运营商，而平均时间为31.5毫秒的BSDS 300。(C)2017爱思唯尔公司All rights reserved.
We extend our recent edge and segment detector, Edge Drawing (GrayED), to detect edge segments in color images. Edge Drawing for color images, named ColorED, takes in a color image, and outputs a set of edge segments, each a contiguous, 1-pixel wide chain of pixels. Detected edge segments are then passed through an 'a contrario' validation step due to the Helmholtz principle to eliminate perceptually invalid detections. We quantitatively evaluate ColorED with different colorspaces and vector gradient operators within the precision-recall framework of the widely-used Berkeley Segmentation Dataset and Benchmark (BSDS300), and compare its results with those of GrayED and a color version of the Canny edge detector named ColorCanny. We conclude that color edge detection is in general superior to grayscale edge detection, and that ColorED with edge segment validation (ColorEDV) greatly outperforms GrayED, ColorED, and ColorCanny, producing an F-score of 0.6593 with DiZenzo and 0.6747 with the Compass operator while taking an average time of 31.5 ms for BSDS300. (C) 2017 Elsevier Inc. All rights reserved.