一种基因芯片图像的对比度增强方法
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摘要
为降低对比度对网格定位和基因点分割的影响,提出了一种基因芯片图像的自适应对比度增强方法.基于四阶矩进行图像对比度计算,并统计图像背景灰度,从而实现仅针对基因点的自适应对比度增强.通过6个不同数据集的79幅图像实验表明:该对比度增强方法无需人工干预及参数输入,可自动增强图像对比度,鲁棒性强;对比度增强后的图像网格定位准确率普遍提高,最高可达25%.
An automatic algorithm for enhanced contrast is proposed for microarray imaging to reduce the low precision of gridding and segmentation caused with low contrast images. Contrast was first computed based on the fourth order moment,and a background gray value estimated. Contrast was thus enhanced on the spot only. Experiments on 79 images drawn from six different data sets were then done. The results show that the proposed method can enhance the image contrast with good robustness without any parameter input or other human intervention. In addition,the gridding accuracy is increased with enhanced contrast,up to a maximum of 25%.
An automatic algorithm for enhanced contrast is proposed for microarray imaging to reduce the low precision of gridding and segmentation caused with low contrast images. Contrast was first computed based on the fourth order moment,and a background gray value estimated. Contrast was thus enhanced on the spot only. Experiments on 79 images drawn from six different data sets were then done. The results show that the proposed method can enhance the image contrast with good robustness without any parameter input or other human intervention. In addition,the gridding accuracy is increased with enhanced contrast,up to a maximum of 25%.
引文
[1]王媛媛.大肠癌干细胞基因表达谱特点及其信号通路的筛选鉴定[D].广州:南方医科大学,2011.
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[14]CHOYKE P L,DWYER A J,KNOPP M V.Functional tumor imaging with dynamic contrast-enhanced magnetic resonance imaging[J].Journal of Magnetic Resonance Imaging,2003,17(5):509-520.
[15]SAFFARIAN N,ZOU J J.DNA microarray image enhancement using conditional sub-block bi-histogram equalization[C]//IEEE International Conference on Video and Signal Based Surveillance.Sydney:[s.n.],2006:86-91.
[16]尹宁.基因芯片图像识别系统研究[D].长春:吉林大学,2012.
[17]STARCK J L,MURTAGH F,CANDES E J,et al.Gray and color image contrast enhancement by the curvelet transform[J].IEEE Transactions on Image Processing,2003,12(6):706-717.
[18]IBRAHIM H,KONG N S P.Brightness preserving dynamic histogram equalization for image contrast enhancement[J].IEEE Transactions on Consumer Electronics,53(4):1 752-1 758.
[19]BAI X Z,ZHOU F G,XUE B D.Infrared image enhancement through contrast enhancement by using multiscale new top-hat transform[J].Infrared Physics&Technology,2011,54(2):61-69.
[20]SHAO G F,YANG F,ZHANG Q,et al.Using the maximum between-class variance for automatic gridding of c DNA microarray images[J].IEEE/ACM Transactions on Computational Biology and Bioinformatics,2013,10(1):181-192.
[2]夏俊芳,刘箐.生物芯片应用概述[J].生物技术通报,2010(7):73-77.
[3]博思数据研究中心.2011—2013年中国生物芯片行业深度调研与投资前景研究报告[R].北京:博思数据研究中心,2011.
[4]PETER B.An overview of DNA microarray image requirements for automated processing[C]//IEEE Computer Society International Conference on Computer Vision and Pattern Recognition.San Diego:Springer,2005,147.
[5]THAMARAIMANALAN P,KUMAR D,NIRMALAKUMARI K.Efficient gridding and segmentation for microarray images[J].International Journal of Computer Science and Mobile Computing,2014,3(2):353-360.
[6]HARIKIRAN J,AVINASH B,VLAKSHMI D R,et al.Automatic gridding method for microarray images[J].Journal of Theoretical and Applied Information Technology,2014,65(1):235-241.
[7]RUEDA L,REZAEIAN I.A fully automatic gridding method for c DNA microarray images[J].BMC Bioinformatics,2011,12(16):1-17.
[8]ALIAA S E,GHADA E,MOHAMED M E,et al.Segmentation of complementary DNA microarray images using markercontrolled watershed technique[J].International Journal of Computer Applications,2015,110(12):30-34.
[9]MAGULURI L P,RAJAPANTHULA K,SRINIVASU P N.A comparative analysis of clustering based segmentation algorithms in microarray images[J].International Journal of Emerging Science and Engineering,2013,1(5):27-32.
[10]WANGA Zi-dong,ZINEDDIN B,LIANG Jin-ling,et al.c DNA microarray adaptive segmentation[J].Neurocomputing,2014,142(22):408-418.
[11]GIANNAKEAS N,KARVELIS P S,FOTIADIS D I.A classification-based segmentation of c DNA microarray images using support vector machines[C]//The 30th Annual International IEEE EMBS Conference.Vancouver:Springer,2008:875-878.
[12]SHAMS R,RABBANIB H,GAZORC S.A Comparison of x-lets in denoising c DNA microarray images[C]//IEEE International Conference on Acoustic,Speech and Signal Processing.Florence:Springer,2014:2 843-2 847.
[13]HOWLADER T,CHAUBEY Y P.Noise reduction of c DNA microarray images using complex wavelets[J].IEEE Transactions on Image Processing,2010,19(8):1 953-1 967.
[14]CHOYKE P L,DWYER A J,KNOPP M V.Functional tumor imaging with dynamic contrast-enhanced magnetic resonance imaging[J].Journal of Magnetic Resonance Imaging,2003,17(5):509-520.
[15]SAFFARIAN N,ZOU J J.DNA microarray image enhancement using conditional sub-block bi-histogram equalization[C]//IEEE International Conference on Video and Signal Based Surveillance.Sydney:[s.n.],2006:86-91.
[16]尹宁.基因芯片图像识别系统研究[D].长春:吉林大学,2012.
[17]STARCK J L,MURTAGH F,CANDES E J,et al.Gray and color image contrast enhancement by the curvelet transform[J].IEEE Transactions on Image Processing,2003,12(6):706-717.
[18]IBRAHIM H,KONG N S P.Brightness preserving dynamic histogram equalization for image contrast enhancement[J].IEEE Transactions on Consumer Electronics,53(4):1 752-1 758.
[19]BAI X Z,ZHOU F G,XUE B D.Infrared image enhancement through contrast enhancement by using multiscale new top-hat transform[J].Infrared Physics&Technology,2011,54(2):61-69.
[20]SHAO G F,YANG F,ZHANG Q,et al.Using the maximum between-class variance for automatic gridding of c DNA microarray images[J].IEEE/ACM Transactions on Computational Biology and Bioinformatics,2013,10(1):181-192.