Development of the hybrid adaptive method for noise reduction in the bitmap image of the part drawing
DOI:
https://doi.org/10.15587/1729-4061.2015.47415Keywords:
drawing, monochrome, binary, noise, contrast, contour, method, aperture, primitive, filterAbstract
An original hybrid method FILTRATOR that allows to eliminate the noise in monochrome and binary bitmap images of the part drawings was proposed. The analysis of the characteristics of the scanned images of the part drawings and characteristic noise, not allowing to get a satisfactory result by standard noise reduction methods was performed. The main features of bitmap images of drawings are the presence of fine lines, filtering of which by standard methods leads to disruption of the integrity and coherence of the part contours, as well as specific types of noise and distortion.
The peculiarity of the proposed hybrid method is its phased implementation. At the first stage, monochrome noise is eliminated by the automatic tone adjustment of the monochrome bitmap image of the part drawing based on the analysis of its brightness and contrast histograms. At the second stage, the remaining binary noise is eliminated by adaptive method, which involves selecting an effective combination of filtering methods: the contour mask method, modified aperture method kFill, median, morphological and logical filtering methods, as well as selecting structural elements based on the block-by-block evaluation of the image parameters: contour line thickness, noise type and level.
The proposed hybrid method FILTRATOR effectively eliminates noise in binary bitmap images of the part drawings, while maintaining the integrity and continuity of contours.
The comparative qualitative and quantitative testing results of the FILTRATOR method and spatial, frequency, and morphological filtering methods were given. The comparison was performed using the MSE, PSNR and UQI criteria. The result of the comparison showed the superiority of the FILTRATOR method in terms of filtering quality of artifacts in scanned bitmap images of the part drawings.References
- Shrestha, S. (2014). Image Denoising Using New Adaptive Based Median Filter. Signal & Image Processing : An International Journal, 5 (4), 1–13. doi: 10.5121/sipij.2014.5401
- Debayle, J., Pinoli, J.-C. (2005). Spatially adaptive morphological image filtering using intrinsic structuring elements. Image Analysis & Stereology, 24 (3), 145–158. doi: 10.5566/ias.v24.p145-158
- Lyra, M., Ploussi, A. (2011). Filtering in SPECT Image Reconstruction. International Journal of Biomedical Imaging, 2011, 1–14. doi: 10.1155/2011/693795
- Ali, K. H., Whitehead, A. (2015). Image Subset Selection Using Gabor Filters and Neural Networks. The International journal of Multimedia & Its Applications, 7 (2), 43–55. doi: 10.5121/ijma.2015.7204
- Amza, C. G., Cicic, D. T. (2015). Industrial Image Processing Using Fuzzy-logic. Procedia Engineering, 100, 492–498. doi: 10.1016/j.proeng.2015.01.404
- Khryashchev, D. A. (2010). Ob odnom metode analiza tsifrovogo izobrazheniia s primeneniem gistogramm [On a method of the analysis of digital image using histograms]. Vestnik Astrahanskogo gosudarstvennogo tehnicheskogo universiteta. Seriia: Upravlenie, vychislitel'naia tehnika i informatika, 1, 109–113.
- Tan, H. L., Li, Z., Tan, Y. H., Rahardja, S., Yeo, C. (2013). A Perceptually Relevant MSE-Based Image Quality Metric. IEEE Transactions on Image Processing, 22 (11), 4447–4459. doi: 10.1109/tip.2013.2273671
- Huynh-Thu, Q., Ghanbari, M. (2008). Scope of validity of PSNR in image/video quality assessment. Electronics Letters, 44 (13), 800–801. doi: 10.1049/el:20080522
- Hum, Y. C., Lai, K. W., Mohamad Salim, M. I. (2014). Multiobjectives bihistogram equalization for image contrast enhancement. Complexity, 20 (2), 22–36. doi: 10.1002/cplx.21499
- Ablameyko, S. V., Lagunovsky, D. M. (2000). Obrabotka izobrazhenii: tehnologiia, metody, primenenie [Image processing: technology, methods, application]. Minsk: Amalfeia, 304.
- Kolmogorov, A. N., Fomin, S. V. (1976). Elementy teorii funktsii i funktsional'nogo analiza [Elements of the theory of functions and functional analize]. Moscow: Nauka, 544.
- Wang, Z., Bovik, A. C. (2002). A universal image quality index. IEEE Signal Processing Letters, 9 (3), 81–84. doi: 10.1109/97.995823
- Krasilnikov, N. N. (2011). Tsifrovaia obrabotka 2D- i 3D-izobrazhenii [Digital processing of 2D- and 3D-image]. SPb.: BHV-Peterburg, 608.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 Вера Сергеевна Молчанова
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.
