一种二值图像特征提取的新理论
收稿日期: 2010-07-15
修回日期: 2010-10-15
网络出版日期: 2011-06-25
基金资助
国家部委预研基金资助项目
A New Theory of Feature Extraction for Binary Images
Received date: 2010-07-15
Revised date: 2010-10-15
Online published: 2011-06-25
陈雪松,徐学军 . 一种二值图像特征提取的新理论[J]. 计算机工程与科学, 2011 , 33(6) : 31 -36 . DOI: 10.3969/j.issn.1007130X.2011.
Extracting the features of images and targets is the key program in the field of image processing and target recognition. The image potential energy theory is a new method to extract the target features and recognize the target in image processing. This article shows the definition, collection, analysis and application of the binary image potential energy theory. The method shows well the target features, gives us a good result in speed, efficiency, accuracy experimentally. The binary image potential energy theory can be used in target extraction, recognition, tracking and target restoration.
［1］Blum H. A Trnasofmration for Extracting New Parameter of Shape［M］∥Models for the Perception of Speech and Visual Form. MIT: Cambridge,1967.
［2］Blum H. Biological Shape and Visual Science［J］. Journal of Theoretical Biology,1973,38(2):205287.
［3］Marogos P A,Schafer R W. Morphological Skeleton Representation and Coding of Binary Images［J］. IEEE Trans on Speech and Signal Processing, 1986, 34(5):12281244.
［4］Shoji K. Generalized Skeleton Representation and Adaptive Prectangular Decomposition of Binary Image［C］∥Proc of SPIE Conf on Image Algebra and Morphological Image Processing,1992:404415.
［5］Cyr M,Kimia B B. 3D Object Recognition Using Shape SimiliarityBased Aspect Graph［C］∥Proc of the Eighth Int’l Conf on Computer Vision, 2001:254261.
［6］Wenyu L, Hua L, Guangxi Z. A Fast Algorithm for Corner Detection Using the Morphologic Skeleton［J］. Pattern Recognition Letters, 2001, 22(8):891901.
［7］Zixing C,Hao C. A Kind of Manuscript Character Recognition Technique Based on Framework Character and Neural Network［J］. Computing Technology and Automation, 2001, 20(3):5965.
［8］Piella G, Heuimans H, J A M. Adaptive Lifting Schemes with Perfect Reconstruction［J］. IEEE Transactions on Signal Processing, 2002, 50(7):16201630.
［9］Victor B, Bowyer K, Sarkar S. An Evaluation of Face and Ear Biometrics［C］∥Proc of the 16th Int’l Conf on Pattern Recognition, 2002:429432.
［10］Xiangqian W, David Z, Kuanquan W. Fisherpalms Based Palmprint Recognition［J］. Pattern Recognition Letters ,2003, 24(15):28292838.
［11］爨莹，张豫华，薛继军，等. 工程图纸骨架识别的模板设计［J］. 微电子学与计算机, 2003, 20(4):4749.
［12］TU Zhuowen, Chen Xiangrong,Yuile A L,et al. Image Parsing: Unifying Segmentation, Detection, and Recognition［J］. Int’l Journal of Computer Vision,2003,63(2):113140.
［13］Xiaofei C. Research on Object Representation and Recognition Techniques Based on Skeleton［D］.Information and Communication Engineering, National University of Defense Technology,ChangSha, 2004.
［14］余莉. 基于数学形态学的目标检测：［博士学位论文］［D］.长沙：国防科学技术大学, 2005.
［15］杨庆雄. 基于神经网络的字符识别研究［J］. 信息技术, 2005, 29（4）:9294.
［16］Dinesh R,G D S. Corner Detection Using Morphological Skeleton［C］∥Proc of ACCV’06, 2006:752760.
［17］张绍广，李凤亭，马惠敏. 一种基于权值的骨架算法［J］. 微计算信息, 2007, 23(23):255256.
［18］宋丹. 基于粗糙集的手写体数字识别多分类器［J］. 科学技术与工程, 2008, 8(10):27112713.
［19］Liu Jinzong, Zou Chengxiao. Potential Energy of Physical［J］. Journal of Jingzhou Normal College, 1984(2):2933.
［20］Gonzalez R C,Woods R E. Digital Image Processing［M］.2nd ed.Upper Saddle River, NJ:Prentice Hall, 2002.
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