CVVEFM: Cubical voxels and virtual electric field model for edge detection in color images
CVVEFM: Cubical voxels and virtual electric field model for edge detection in color images
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DOI：
10.1016/j.sigpro.2007.10.006
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发表时间：
2008-04
期刊：
影响因子：
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通讯作者：
B. Bouda;L. Masmoudi;D. Aboutajdine
中科院分区：
文献类型：
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作者：
B. Bouda;L. Masmoudi;D. Aboutajdine
传统的基于导数的彩色边缘检测算法存在运算量大、实现困难、边缘缺失等缺点。本文提出了一种新的、简单有效的立方体素和虚拟电场模型(CVVEFM)用于彩色图像的边缘检测。其主要思想是将彩色图像建模为虚拟电荷的基本立方点(体素)网络。这些电荷均匀地分布在立方体上，处于静电平衡状态。在该边缘检测器中，确定了三个设计的算子，它们提供每个平面颜色分量的近似梯度。该方法基于简单立方体素(CV)和虚拟电场(VEF)模型的组合。CV模型将颜色像素描述为立方体素。VEF模型通过数学表达式将体素描述为点电荷。两者同时用于描述包含比通常使用的更多边缘的彩色图像。利用CVVEFM实现了快速、易实现和令人满意的边缘检测。一些彩色图像说明了结果。
Most conventional derivative-based color edge detectors have shortcomings such as high computational cost, difficulty in implementation and missing edges. In this paper, we propose a new, simple and effective cubical voxels and virtual electric field model (CVVEFM) for edge detection in color images. The main idea is to model a color image as the network of elementary cubical points (voxels) of virtual electric charges. These charges are uniformly distributed on a cube, in electrostatic balance. In this edge detector, three designed operators which provide approximate gradients of each plane color component are determined. The method is based on the combinations of simple cubical voxels (CV) and virtual electric field (VEF) models. The CV model describes the color pixels as cubical voxels. The VEF model describes the voxels as punctual electric charges by mathematical expressions. Both are used simultaneously to describe the color images including more edges than usually used. Fast, easy to implement and satisfactory edge detection due to its characteristics is accomplished with the CVVEFM. Some color images illustrate the results.