基于遗传神经网络的颜色恒常感知计算模型
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摘要
在机器视觉领域,颜色恒常性是实现计算机视觉颜色校正和保持机器对颜色识别稳定性的重要因素.该模型通过心理物理实验获得由人眼感知得到的颜色恒常感知数据,将其放入神经网络中进行样本训练,并用遗传算法优化BP神经网络的连接权值和阈值.将所建立颜色恒常感知计算模型应用到图像颜色校正,通过主观和客观两个方面对校正结果进行对比评价,结果表示所建立的颜色恒常感知计算模型计算精度和效率高、复杂度低,比几种经典算法处理误差要小,针对图像的颜色再现有着更为符合人眼感知的特性.
In the field of machine vision, color constancy is an important factor in achieving computer vision color correction and maintaining the machine stability to color recognition. By means of the psychophysics, the model gains the color perception data obtained by the human eyes perception, and puts it into the neural network for sample training, then optimizes the connection weights and thresholds of the BP neural network using the genetic algorithm. The color constant perception model is applied to the image color correction, and the correction results are evaluated in terms of the subjective and objective measures, the results show that the established algorithm has high precision and better efficiency,low complexity and less error than the classical algorithm, the color representation of images is more consistent with human perception.
In the field of machine vision, color constancy is an important factor in achieving computer vision color correction and maintaining the machine stability to color recognition. By means of the psychophysics, the model gains the color perception data obtained by the human eyes perception, and puts it into the neural network for sample training, then optimizes the connection weights and thresholds of the BP neural network using the genetic algorithm. The color constant perception model is applied to the image color correction, and the correction results are evaluated in terms of the subjective and objective measures, the results show that the established algorithm has high precision and better efficiency,low complexity and less error than the classical algorithm, the color representation of images is more consistent with human perception.
引文
1蔡珣.视频监控中的背景颜色恒常性算法研究[博士学位论文].济南:山东大学,2007.
2陶霖密,徐光祐.机器视觉中的颜色问题及应用.科学通报,2001,46(3):178-190.
3姜龙.基于BP神经网络的颜色恒常性算法[硕士学位论文].济南:山东大学,2010.
4Land EH.The retinex theory of color vision.Scientific American,1977,237(6):108-129.[doi:10.1038/scientificamerican1277-108]
5Buchsbaum G.A spatial processor model for object colour perception.Journal of the Franklin Institute,1980,310(1):1-26.[doi:10.1016/0016-0032(80)90058-7]
6Finlayson GD,Trezzi E.Shades of gray and colour constancy.Proceedings of the IS&T/SID 12th Color Imaging Conference Scottsdale,AZ,USA.2004.37-41.
7Van De Weijer J,Gevers T,Gijsenij A.Edge-based color constancy.IEEE Transactions on Image Processing,2007,16(9):2207-2214.[doi:10.1109/TIP.2007.901808]
8Finlayson G,Hordley S.Improving gamut mapping color constancy.IEEE Transactions on Image Processing,2000,9(10):1774-1783.[doi:10.1109/83.869188]
9Cardei VC,Funt B,Barnard K.Estimating the scene illumination chromaticity by using a neural network.Journal of the Optical Society of America A,2002,19(12):2374-2386.[doi:10.1364/JOSAA.19.002374]
10Xiong WH,Funt B.Estimating illumination chromaticity via support vector regression.Journal of Imaging Science and Technology,2006,50(4):341-348.[doi:10.2352/J.Imaging Sci.Technol.(2006)50:4(341)]
11Faghih MM,Moghaddam ME.Neural gray:A color constancy technique using neural network.Color Research&Application,2014,39(6):571-581.
12Faghih MM,Moghaddam ME.Neural gray edge:Improving gray edge algorithm using neural network.Proceedings of the2011 18th IEEE International Conference on Image Processing.Brussels,Belgium.2011.1705-1708.
13Dufort PA,Lumsden CJ.Color categorization and color constancy in a neural network model of V4.Biological Cybernetics,1991,65(4):293-303.[doi:10.1007/BF00206226]
14Stanikūnas R,Vaitkevi?ius H.Neural network for color constancy.Informatica,2000,11(2):219-232.
15乐国安.“心理物理学”的发展和现状评述.心理学报,1983,15(1):1-8.
16吕玮阁.基于色貌的感知对比度评价方法及建模研究[博士学位论文].杭州:浙江大学,2012.
17Cardei VC,Funt B,Barnard K.Adaptive illuminant estimation using neural networks.Niklasson L,Bodén M,Ziemke T.ICANN 98.London,UK:Springer,1998.749-754.
18Ciurea F,Funt B.A large image database for color constancy research.Proceedings of the 11th Color and Imaging Conference.Scottsdale,AZ,USA.2003.160-164.
19Janikow CZ,Michalewicz Z.An experimental comparison of binary and floating point representations in genetic algorithms.Proceedings of 4th ICGA.San Diego,CA,USA.1991.31-36.
20李伟超,宋大猛,陈斌.基于遗传算法的人工神经网络.计算机工程与设计,2006,27(2):316-318.
21李晔.基于一种改进遗传算法的神经网络[硕士学位论文].太原:太原理工大学,2007.
22朱文龙.基于遗传算法的BP神经网络在多目标优化中的应用研究[硕士学位论文].哈尔滨:哈尔滨理工大学,2009.
23Barnard K,Martin L,Funt B,et al.A data set for colorresearch.Color Research&Application,2002,27(3):147-151.
24Bartleson CJ,Grum F.Optical radiation measurements:A treatise.Visual Measurements.New York,NY,USA: Academic Press,1984.
2陶霖密,徐光祐.机器视觉中的颜色问题及应用.科学通报,2001,46(3):178-190.
3姜龙.基于BP神经网络的颜色恒常性算法[硕士学位论文].济南:山东大学,2010.
4Land EH.The retinex theory of color vision.Scientific American,1977,237(6):108-129.[doi:10.1038/scientificamerican1277-108]
5Buchsbaum G.A spatial processor model for object colour perception.Journal of the Franklin Institute,1980,310(1):1-26.[doi:10.1016/0016-0032(80)90058-7]
6Finlayson GD,Trezzi E.Shades of gray and colour constancy.Proceedings of the IS&T/SID 12th Color Imaging Conference Scottsdale,AZ,USA.2004.37-41.
7Van De Weijer J,Gevers T,Gijsenij A.Edge-based color constancy.IEEE Transactions on Image Processing,2007,16(9):2207-2214.[doi:10.1109/TIP.2007.901808]
8Finlayson G,Hordley S.Improving gamut mapping color constancy.IEEE Transactions on Image Processing,2000,9(10):1774-1783.[doi:10.1109/83.869188]
9Cardei VC,Funt B,Barnard K.Estimating the scene illumination chromaticity by using a neural network.Journal of the Optical Society of America A,2002,19(12):2374-2386.[doi:10.1364/JOSAA.19.002374]
10Xiong WH,Funt B.Estimating illumination chromaticity via support vector regression.Journal of Imaging Science and Technology,2006,50(4):341-348.[doi:10.2352/J.Imaging Sci.Technol.(2006)50:4(341)]
11Faghih MM,Moghaddam ME.Neural gray:A color constancy technique using neural network.Color Research&Application,2014,39(6):571-581.
12Faghih MM,Moghaddam ME.Neural gray edge:Improving gray edge algorithm using neural network.Proceedings of the2011 18th IEEE International Conference on Image Processing.Brussels,Belgium.2011.1705-1708.
13Dufort PA,Lumsden CJ.Color categorization and color constancy in a neural network model of V4.Biological Cybernetics,1991,65(4):293-303.[doi:10.1007/BF00206226]
14Stanikūnas R,Vaitkevi?ius H.Neural network for color constancy.Informatica,2000,11(2):219-232.
15乐国安.“心理物理学”的发展和现状评述.心理学报,1983,15(1):1-8.
16吕玮阁.基于色貌的感知对比度评价方法及建模研究[博士学位论文].杭州:浙江大学,2012.
17Cardei VC,Funt B,Barnard K.Adaptive illuminant estimation using neural networks.Niklasson L,Bodén M,Ziemke T.ICANN 98.London,UK:Springer,1998.749-754.
18Ciurea F,Funt B.A large image database for color constancy research.Proceedings of the 11th Color and Imaging Conference.Scottsdale,AZ,USA.2003.160-164.
19Janikow CZ,Michalewicz Z.An experimental comparison of binary and floating point representations in genetic algorithms.Proceedings of 4th ICGA.San Diego,CA,USA.1991.31-36.
20李伟超,宋大猛,陈斌.基于遗传算法的人工神经网络.计算机工程与设计,2006,27(2):316-318.
21李晔.基于一种改进遗传算法的神经网络[硕士学位论文].太原:太原理工大学,2007.
22朱文龙.基于遗传算法的BP神经网络在多目标优化中的应用研究[硕士学位论文].哈尔滨:哈尔滨理工大学,2009.
23Barnard K,Martin L,Funt B,et al.A data set for colorresearch.Color Research&Application,2002,27(3):147-151.
24Bartleson CJ,Grum F.Optical radiation measurements:A treatise.Visual Measurements.New York,NY,USA: Academic Press,1984.