计算机科学 ›› 2015, Vol. 42 ›› Issue (4): 292-296.doi: 10.11896/j.issn.1002-137X.2015.04.060
张玉香,高旭杨,王 挺,张乐飞,杜 博
ZHANG Yu-xiang, GAO Xu-yang, WANG Ting, ZHANG Le-fei and DU Bo
摘要： 为了提取指纹、癌变区域等重要的生物信息,传统方法一般是使用物理、化学手段直接作用在信息载体上,这不仅需要较长时间,容易对原有信息及载体造成破坏,而且提取过程不可重现、精度较低。高光谱成像技术避免了获取信息时物理接触造成的破坏,能多次稳定获取图像,成为了一种优秀的生物信息采集途径。在此介绍一种基于背景自学习的高光谱图像信息提取方法,它解决了传统非结构化背景模型适应性不强的问题,利用空间光谱信息进一步提升了信息提取精度。实验证明,该方法能有效对背景信息进行估计,提取完整的生物目标信息,精度优于传统目标信息提取方法。
| [1] 王崇文,李见为.指纹取像与指纹识别[J].计算机工程,2002,28(4):10-12 [2] Sudiro S A,Paindavoine M,Kusuma T M.Simple fingerprint mi-nutiae extraction algorithm using crossing number on valley structure[C]∥2007 IEEE Workshop on Automatic Identification Advanced Technologies.IEEE,2007:41-44 [3] Lee C J,Wang S D.Fingerprint feature extraction using Gabor filters[J].Electronics Letters,1999,35(4):288-290 [4] Zhang Q,Yan H.Fingerprint classification based on extraction and analysis of singularities and pseudo ridges[J].Pattern Re-cognition,2004,37(11):2233-2243 [5] Abbas Q,Celebi M E,García I F.Skin tumor area extractionusing an improved dynamic programming approach[J].Skin Research and Technology,2012,18(2):133-142 [6] Gil J,Wu Hai-shan,Wang B Y.Image analysis and morphometry in the diagnosis of breast cancer[J].Microscopy Research and Technique,2002,59(2):109-118 [7] 张兵,高连如,等.高光谱图像分类与目标探测[M].北京:科学出版社,2011 [8] 黄远程.高光谱影像混合像元分解的若干关键技术研究[D].武汉:武汉大学,2010 [9] Manolakis D,Shaw G.Detection algorithms for hyperspectralimaging applications[J].Signal Processing Magazine,IEEE,2002,19(1):29-43 [10] Harsanyi J C,Farrand W H,Chang C I.Detection of subpixelsignatures in hyperspectral image sequences[C]∥Proceedings of the American Society for Photogrammetry and Remote Sensing.1994:236-247 [11] Scharf L L,McWhorter L T.Adaptive matched subspace detectors and adaptive coherence estimators[C]∥Conference Record of the Thirtieth Asilomar Conference on Signals,Systems and Computers,1996.IEEE,1996:1114-1117 [12] Park B,Windham W R,Lawrence K C,et al.Contaminant classification of poultry hyperspectral imagery using a spectral angle mapper algorithm[J].Biosystems Engineering,2007,96(3):323-333 [13] Chang C I.Orthogonal subspace projection (OSP) revisited:acomprehensive study and analysis[J].IEEE Transactions on Geoscience and Remote Sensing,2005,43(3):502-518 [14] 刘凯,张立福,杨杭,等.面向对象分析的非结构化背景目标高光谱探测方法研究[J].光谱学与光谱分析,2013,33(6) [15] Fuhrmann D R,Kelly E J,Nitzberg R.A CFAR Adaptive-Matched Filter Detector[J].IEEE Transaction on Aerospace and Electronic Systems,1992,28(1):208-216 [16] Matteoli S,Acito N,Diani M,et al.An automatic approach to adaptive local background estimation and suppression in hyperspectral target detection[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(2):790-800 [17] Bioucas-Dias J M,Nascimento J M P.Hyperspectral subspaceidentification[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(8):2435-2445 [18] 王千,王成,冯振元,等.K-means聚类算法研究综述[J].电子设计工程,2012,20(7):21-24 [19] DeLong E R,DeLong D M,Clarke-Pearson D L.Comparing the areas under two or more correlated receiver operating characteri-stic curves:a nonparametric approach[J].Biometrics,1988,44(3):837-845 |
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