基于二維不可分小波變換的矩不變量
doi: 10.11999/JEIT151218
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(61471160),湖北省自然科學(xué)基金(2012FFA053)
Moment Invariants Based on Two Dimensional Non-separable Wavelet Transform
Funds:
The National Natural Science Foundation of China (61471160), The Key Project of the Natural Science of Hubei Province (2012FFA053)
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摘要: 尋找相對(duì)于尺度、平移、旋轉(zhuǎn)不變的小波不變量是多尺度分析在模式識(shí)別中應(yīng)用的關(guān)鍵性問題。該文利用基于統(tǒng)計(jì)的不變矩這一理論和應(yīng)用上都比較成熟的方法,將圖像有限個(gè)尺度的小波近似系數(shù)和圖像不變矩聯(lián)系起來,從而給出了一種小波矩不變量,得到了比較完善的理論和實(shí)驗(yàn)結(jié)果。同時(shí)指出了該理論方法在實(shí)際應(yīng)用中所需注意的地方,最后簡(jiǎn)要闡述了多尺度分析與不變矩的應(yīng)用關(guān)系。Abstract: Searching for wavelet invariants is a key issue in multiresolution analysis. On the other hand,the method of moment invariants is fully developed both in the theory and the practice. A kind of wavelet moment invariants are given based on the image invariant moments and wavelet appr-oximation coefficients from the limited number of scales of the image. A fairy complete result on theory and experiment is obtained. At the same time, some problems of the theory and method are pointed out in the practical application.Finally, the application relationship between multi-scale analysis and invariant moment is briefly described.
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李駿揚(yáng), 金立左, 費(fèi)樹岷, 等. 基于多尺度特征表示的城市道路檢測(cè)[J]. 電子與信息學(xué)報(bào), 2014, 36(11): 2578-2585. doi: 10.3724/SP.J.1146.2014.00271. LI Junyang, JIN Lizuo, FEI Shumin, et al. Urban road detection based on multi-scale feature representation[J]. Journal of Electronics Information Technology, 2014, 36(11): 2578-2585. doi: 10.3724/SP.J.1146.2014.00271. MALLAT S G. A Theory for multi-resolution signal decomposition: the wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 1(7): 674-693. MALLAT S G. Multiresolution approximations and wavelet orthonormal bases of L2(R)[J]. Transactions of the American Mathematical Society, 1989, 315(1): 69-87. DAUBECHIES I. Orthonormal bases of compactly supported wavelets[J]. Communications on Pure And Applied Mathematics, 1988, 41(7): 909-996. PRASHAN P and MALIN P. Image matching using moment invariants[J]. Neurocomputing, 2014, 137: 65-70. doi: 10.1016/j.neucom.2013.02.058. HU M K. Visual pattern recognition by moment invariants[J]. IEEE Transactions on Information Theory, 1962, 8(2): 179-182. 謝生龍, 王夏黎, 董春雨, 等. 基于不變矩理論線矩法圖像特征的提取[J]. 計(jì)算機(jī)技術(shù)與發(fā)展, 2014, 24(11): 139-143. doi: 10.3969/j.issn.1673-629X.2014.11.035. XIE Shenglong, WANG Xiali, DONG Chunyu, et al. Extraction of figure features based on line moment method of moment invariant theory[J]. Computer Technology and Development, 2014, 24(11): 139-143. doi: 10.3969/j.issn.1673- 629X.2014.11.035. 軒建平, 鄭鋒. 基于Coiflet的二維小波有限元構(gòu)造與應(yīng)用[J]. 華中科技大學(xué)學(xué)報(bào)(自然科學(xué)版), 2014, 42(5): 21-24. doi: 10.13245/j.hust.140505. XUAN Jianping and ZHENG Feng. Construction and application of two-dimentional wavelet finite element based on Coiflet[J]. Huazhong University of Science Technology, 2014, 42(5): 21-24. doi: 10.13245/j.hust.140505. HUR Y, PARK H, and ZHENG Fang. Multi-D wavelet filter bank design using quillen-suslin theorem for laurent polynomials[J]. IEEE Transactions on Signal Processing, 2014, 62(20): 5348-5358.doi: 10.1109/TSP.2014.2347263. HUAE Y. Construction of compactly supported nonseparable orthogonal wavelet with dilation 4[J]. Advanced Materials Research, 2014, 1061(1): 1064-1069. 金琪, 戴汝為. 基于矩表示的小波不變量[J]. 模式識(shí)別與人工智能, 1995, 8(3): 179-187. JIN Qi and DAI Ruwei. Wavelet invariants based on moment presentation[J]. Pattern Recognition and Artificial Intelligence, 1995, 8(3): 179-187. AYACHE A. Some methods for constructing non-separable, orthonormal, compactly supported wavelet bases[J]. Letter to the Editor In Applied And Computational Harmonic Analysis, 2001, 10(1): 99-111. DAUBECHIES I. Ten Lectures on Wavelets [M]. Vermont: Capital City Press, 1992: 299-300. 徐應(yīng)祥, 關(guān)履泰. 具有消失矩的新二元正交小波[J]. 云南大學(xué)學(xué)報(bào)(自然科學(xué)版), 2010, 32(4): 385-391. XU Yingxiang and GUAN Ltai. New bivariate orthogonal wavelets with vanishing moments[J]. Journal of Yunnan University, 2010, 32(4): 385-391. WONG Y R. Scene matching with invariant moments[J]. Computer Graphics and Image Processing, 1978, 8(1): 16-24. 潘泉, 程詠梅, 杜亞娟, 等. 離散不變矩算法及其在目標(biāo)識(shí)別中的應(yīng)用[J]. 電子與信息學(xué)報(bào), 2001, 23(1): 30-36. PAN Quan, CHENG Yongmei, DU Yajuan, et al. Discrete moment invariant algorithm and its application on target recognition[J]. Journal of Electronics Information Technology, 2001, 23(1): 30-36. 沈會(huì)良, 李志能. 基于矩和小波變換的數(shù)字、字母字符識(shí)別研究[J]. 中國(guó)圖象圖形學(xué)報(bào), 2000, 5A(3): 249-252. doi: 10.3969 /j.issn.1006-8961.2000.03.015. SHEN Huiliang and LI Zhineng. A study of number and letter character recognition based on moments and wavelet transform[J]. Journal of Image and Graphics, 2000, 5A(3): 249-252. doi: 10.3969/j.issn.1006-8961.2000.03.015. 毛賢光, 李云欣, 李罕, 等. 基于不變矩和小波分析的指橫紋匹配新算法[J]. 計(jì)算機(jī)工程與應(yīng)用, 2015, 51(20): 172-177. doi: 10.3778/j.issn.1002-8331.1310-0109. MAO Xianguang, LI Yunxin, LI Han, et al. New matching algorithm of knuckleprint based on moment invariants and wavelet multi-resolution analysis[J].Computer Engineering and Applications, 2015, 51(20): 172-177. doi: 10.3778/j.issn. 1002-8331.1310-0109. 丁曉青. 漢字識(shí)別研究的回顧[J]. 電子學(xué)報(bào), 2002, 9(9): 1364-1368. doi: 10.3321/j.issn:0372-2112.2002.09.029. DING Xiaoqing. Chinese character recognition:a review[J]. Acta Electronica Sinica, 2002, 9(9): 1364-1368. doi: 10.3321/ j.issn:0372-2112.2002.09.029. -
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