信息与控制2017，Vol.46Issue(4)：437-442,6.DOI:10.13976/j.cnki.xk.2017.0437
基于生物地理学优化算法的多尺度Retinex权重选择
Weight Selection of Multi-scale Retinex Based on Biogeography Optimization Algorithm
摘要
Abstract
We present an implementation of weight selection in multi-scale retinex (MSR) using the biogeography-based optimization algorithm (BBO).The existing MSR algorithm provides the same values to the Gaussian filters with different scales and cannot ensure the best enhancement results in various environments.We use BBO for weight selection to optimize the enhancement in MSR.The optimization of weight selection compensates for the defects of the scale parameters in Gaussian filters.Extensive simulations with comparisons to the existing MSR verify that our method achieves better enhancement results.关键词
Retinex/图像增强/生物地理学优化/高斯滤波器Key words
Retinex/image enhancement/BBO (biogeography-basedoptimization)/Gaussian filter分类
信息技术与安全科学引用本文复制引用
张北伟,曹江涛,丛秋梅..基于生物地理学优化算法的多尺度Retinex权重选择[J].信息与控制,2017,46(4):437-442,6.基金项目
国家自然科学基金资助项目(61203021) （61203021）
