Adaptive noise reduction for engineering drawings based on primitives and noise assessment

被引:0
|
作者
Jing Zhang [1 ]
Wan Zhang [1 ]
Liu Wenyin [1 ]
机构
[1] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
关键词
adaptive noise reduction; engineering drawings; linewidth assessment; noise assessment;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a novel adaptive noise reduction method for engineering drawings is proposed based on the assessment of both primitives and noise. Unlike the current approaches, our method takes into account the special features of engineering drawings and assesses the characteristics of primitives and noise such that adaptive procedures and parameters are applied for noise reduction. For this purpose, we first analyze and categorize various types of noise in engineering drawings. The algorithms for average linewidth assessment, noise distribution assessment and noise level assessment are then proposed. These three assessments are combined to describe the features of the noise of each individual engineering drawing. Finally, median filters and morphological filters, which can adjust their template size and structural element adaptively according to different noise level and type, are used for adaptive noise reduction. Preliminary experimental results show that our approach is effective for noise reduction of engineering drawings.
引用
收藏
页码:140 / 150
页数:11
相关论文
共 50 条
  • [11] A noise reduction system for wideband and sinusoidal noise based on adaptive line enhancer and inverse filter
    Sasaoka, N
    Sumi, K
    Itoh, Y
    Fujii, K
    Kawamura, A
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2006, E89A (02) : 503 - 510
  • [12] Noise Reduction in Instrumentation Engineering.
    Krause, W.
    Thuemmler, J.
    Feingeratetechnik Berlin, 1984, 33 (10): : 466 - 469
  • [13] Adaptive noise reduction algorithms based on statistical hypotheses tests
    Lee, Jaeheon
    Kim, Yeong-Hwa
    Nam, Ji-Ho
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2008, 54 (03) : 1406 - 1414
  • [14] Noise reduction using an adaptive iteration based on Bayesian model
    Lee, Sang-Hoon
    PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, 2007, : 413 - 418
  • [15] Adaptive Rank Based Impulsive Noise Reduction in Color Images
    Smolka, Bogdan
    2012 FOURTH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRONICS (ICCE), 2012, : 355 - 359
  • [16] Adaptive noise reduction method for chaotic signals based on fractal
    Pei, Wenjiang
    Liu, Wenbo
    Yu, Shenglin
    Nanjing Hangkong Hangtian Daxue Xuebao/Journal of Nanjing University of Aeronautics & Astronautics, 29 (05): : 483 - 487
  • [17] Reduction of Mosquito Noise Based on the Adaptive Bilateral-Filter
    Xiao, Bing
    Liu, Lu
    Guo, Li
    Ma, Junliang
    2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2016, : 1933 - 1939
  • [18] Color difference-based adaptive noise reduction for images
    Amano, Y.
    Shimodaira, Y.
    IDW '07: PROCEEDINGS OF THE 14TH INTERNATIONAL DISPLAY WORKSHOPS, VOLS 1-3, 2007, : 1243 - 1246
  • [19] Adaptive noise reduction method based on fractional Fourier transform
    Shen, Yong-Jun
    Yang, Shao-Pu
    Zhang, Guang-Ming
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2009, 22 (03): : 292 - 297
  • [20] Kind of noise reduction method based on multistage adaptive filters
    Kang, Chunyu
    Zhang, Xinhua
    Ye, Qionglong
    Fan, Wentao
    Journal of Information and Computational Science, 2008, 5 (03): : 1273 - 1279