Journal of Guangxi Normal University(Natural Science Edition) ›› 2015, Vol. 33 ›› Issue (2): 22-28.doi: 10.16088/j.issn.1001-6600.2015.02.004
Previous Articles Next Articles
CHEN Jin, LUO Xiao-shu
CLC Number:
| [1] LEE,HEE H.Emerging intelligent computing technology and applications[M]. Heidelberg: Springer, 2009:187-192. [2] YUAN Hua,ZHANG Xiao-ping,GUAN Ling.A statistical approach for image feature extraction in the wavelet domain[C].//Canadian Conference on Electrical and Computer Engineering. Montreal: IEEE,2003:1159-1162. [3] GHAZALI K H, MANSOR M F, MUSTAFA MM, et al. Feature extraction technique discrete wavelet transform for image classification[C].//5th Student Conference on Research and Development. Selangor, Malaysia:IEEE, 2007:1-4. [4] LI Xiao-li,HE Yong,QIU Zheng-jun.Textural feature extraction and optimization in wavelet sub-bands for discrimination of green tea brands[C]//International Conference on Machine Learning and Cybernetics.Kunming:IEEE,2008:1461-1466. [5] ERGIN S,KILINC O.A new feature extraction framework based on wavelets for breast cancer diagnosis[J].Computers in Biology and Medicine,2014,51:171-182. [6] AVCI E,SENGUR A,HANBAY D.An optimum feature extraction method for texture classification[J].Expert Systems with Applications,2009,36(3):6036-6043. [7] NASCIMENTO D,MARTINS A,NEVES L,et al.Classification of masses in mammographic image using wavelet domain features and polynomia classifier[J].Expert Systems with Applications,2013,40:6213-6221. [8] IMTIAZ H,FATTAH S A.A wavelet-based dominant feature extraction algorithm for palm-print recognition[J].Digital Signal Processing,2013,23(1):244-258. [9] HUANG Zheng-hai,LI Wen-juan,WANG Jun,et al.Face recognition based on pixel-level and feature-level fusion of the top-level’s wavelet sub-bands[J].Information Fusio,2015,22:95-104. [10] AGRAWAL P, VATSA M, SINGH R. Machine learning in medical imaging[M]. International Publishing: Springer, 2013:195-202. [11] RAKSHIT P,BHOWMIK K.Detection of abnormal findings in human RBC in diagnosing sickle cell anaemia using image processing[J].Procedia Technology,2013,10:28-36. [12] PHINYOMARK A,JITAREE S,PHUKPATTARANONT P,et.al.Texture analysis of Breast cancer cells in microscopic images using critical exponent analysis method[J].Procedia Engineering,2012,32:232-238. [13] LEE H,YI Ping,CHEN P.Cell morphology based classification for red cells in blood smear images[J].Pattern Recognition Letters,2014,49(1):155-161. [14] 陈锦,张晗博,殷奕,等.一种新的小波阈值去噪方法研究[J].信息化研究,2014,40(3):13-17. [15] YANG Yan,WILIEM A,ALAVI A, et al. Visual learning and classification of human epithelial type 2 cell images through spontaneous activity patterns[J].Pattern Recognition,2014,47(7):2325-2337. [16] 李亚标,王宝光,李温温.基于小波变换的图像纹理特征提取方法及其应用[J].传感技术学报,2009,22(9):1308-1311. [17] MEHRABIAN A R,LUCASC C.A novel numerical optimization algorithm inspired from weed colonization[J]. Ecological Informatics,2006,1(4):355-366. [18] 于蕾,周忠良,郑丽颖.基于入侵性杂草优化算法的图像识别的研究[J].计算机工程与应用,2014,50(16):188-191. [19] 张帅,王营冠,夏凌楠.离散二进制入侵杂草算法[J].华中科技大学学报:自然科学版,2011,39(10):55-60. |
| [1] | LIU Xin, LUO Xiaoshu, ZHAO Shulin. Active Disturbance Rejection Control of Three-AxisStabilized Platform Based on BP Neural Network [J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(2): 115-120. |
| [2] | XU Lunhui, CHEN Kaixun. Prediction of Road Network Speed Distribution Based on BP Neural Network Optimization by Improved Firefly Algorithm [J]. Journal of Guangxi Normal University(Natural Science Edition), 2019, 37(2): 1-8. |
| [3] | ZHONG Haixin, QIU Senhui, LUO Xiaoshu, TANG Tang, YANG Li, ZHAO Shuai. Study of Applying BP Neural Network with Inertia Term Self-tuningto Attitude Stability of Quadrotor Unmanned Aerial Vehicle [J]. Journal of Guangxi Normal University(Natural Science Edition), 2017, 35(2): 24-31. |
| [4] | PENG Xinjian, WENG Xiaoxiong. Bus Travel Time Prediction Based on BP Neural Network Optimized by Firefly Algorithm [J]. Journal of Guangxi Normal University(Natural Science Edition), 2017, 35(1): 28-36. |
| [5] | HUANG Jing, LUO Xiao-shu. Application of BP Neural Network in Ice Accretion over Transmission Line [J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(4): 25-27. |
|
||