An instantaneous memetic algorithm for illumination correction
An instantaneous memetic algorithm for illumination correction
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DOI：
10.1109/cec.2004.1330985
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发表时间：
2004-06
期刊：
影响因子：
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通讯作者：
Elsa Fernández;M. Graña;J. Ruíz-Cabello
中科院分区：
文献类型：
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作者：
Elsa Fernández;M. Graña;J. Ruíz-Cabello
模因算法是一种将联合收割机局部优化与进化搜索算子相结合的混合进化算法。在本文中，我们描述了一个例子，这个范例设计用于校正图像中的照明不均匀性。该算法使用嵌入变异算子中的误差函数的梯度信息。此外，该算法是一个单解种群算法，这使得它的计算量轻。假设图像强度是分段恒定的，并且照明偏差可以通过2D勒让德多项式的线性组合来近似，定义适应度函数。我们称该算法为瞬时模因照明校正（IMIC）。
Memetic algorithms are hybrid evolutionary algorithms that combine local optimization with evolutionary search operators. In this paper we describe an instance of this paradigm designed for the correction of illumination inhomogeneities in images. The algorithm uses the gradient information of an error function embedded in the mutation operator. Moreover, the algorithm is a single-solution population algorithm, which makes it computationally light. The fitness function is defined assuming that the image intensity is piecewise constant and that the illumination bias may be approximated by a linear combination of 2D Legendre polynomials. We call the algorithm instantaneous memetic illumination correction (IMIC).