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GB/T 38879-2020: Particle - Size analysis - Color image analysis methods
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Particle - Size analysis - Color image analysis methods
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GB/T 38879-2020
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Basic data | Standard ID | GB/T 38879-2020 (GB/T38879-2020) | | Description (Translated English) | Particle - Size analysis - Color image analysis methods | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | A28 | | Classification of International Standard | 19.120 | | Word Count Estimation | 22,266 | | Date of Issue | 2020-06-02 | | Date of Implementation | 2020-08-01 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration | GB/T 38879-2020: Particle - Size analysis - Color image analysis methods---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
Particle - Size analysis - Color image analysis methods
ICS 19.120
A28
National Standards of People's Republic of China
Particle size analysis color image analysis method
2020-06-02 release
2020-08-01 implementation
State Administration of Market Supervision and Administration
Issued by the National Standardization Management Committee
Contents
Foreword Ⅲ
Introduction IV
1 Scope 1
2 Normative references 1
3 Terms and definitions 1
4 Sample preparation 3
5 Image acquisition 3
5.1 General 3
5.2 Acquisition 3
6 Image processing and analysis 4
6.1 General 4
6.2 Image preprocessing 4
6.3 Grain image segmentation 4
6.4 Particle size measurement and calculation 5
6.5 Classification of particles 6
7 Calibration and traceability 6
8 Test report 7
Appendix A (Informative) Flowchart of typical steps for particle size analysis based on color images 8
Appendix B (informative appendix) Commonly used color spaces for image processing and the conversion relationships between 9
Appendix C (informative appendix) Basic principles and steps of color image segmentation algorithm based on fuzzy C-means clustering 12
Appendix D (informative appendix) Particle color image segmentation process and result example in CIELAB color space 14
Reference 17
Foreword
This standard was drafted in accordance with the rules given in GB/T 1.1-2009.
This standard was proposed and managed by the National Technical Committee for Particle Characterization and Sorting and Screen Standardization (SAC/TC168).
This standard was drafted by. Shanghai University of Technology, PetroChina Daqing Oilfield Co., Ltd. Exploration and Development Research Institute, Dandong Baite Instrument
Co., Ltd., Beijing Coast Hongmeng Standard Material Technology Co., Ltd., Shenzhen Defang Nanotechnology Co., Ltd., Chinese Academy of Sciences
Engineering Research Institute, China Machine Productivity Promotion Center, Beijing Physical and Chemical Analysis and Test Center, Yisiqi (Beijing) Technology Development Co., Ltd.
The main drafters of this standard. Zhou Qian, Deng Wenjing, Xu Xiqing, Cai Xiaoshu, Dong Qingyun, Li Zhaojun, Su Mingxu, Li Li, Wang Yuanhang, Gao Yuan,
Yu Fang and Yang Zhenghong.
Introduction
The image method has become one of the main methods of particle analysis. Static and dynamic image methods generally perform threshold division based on the grayscale image of the particles.
Cut to extract information such as particle size from the binary particle image. Compared with the grayscale image of particles, the color image contains richer colors and patterns
Information such as management, which is helpful for the segmentation and identification of particles, so this standard performs particle size analysis on particle color images
Provide guidance on the acquisition, processing and application of color images.
Particle size analysis color image analysis method
1 Scope
This standard specifies the methods of particle color image collection, processing, and particle size analysis.
This standard is applicable to the particle size of particle size analysis equipment such as image method particle size analyzer, microscope, scanner or camera.
Determination.
2 Normative references
The following documents are essential for the application of this document. For dated reference documents, only the dated version applies to this article
Pieces. For the cited documents without date, the latest version (including all amendments) applies to this document.
GB/T 15445.1 Expression of results of particle size analysis. Part 1.Graphic characterization
GB/T 21649.1-2008 Granularity analysis image analysis method Part 1.Static image analysis method
3 Terms and definitions
The following terms and definitions apply to this document.
3.1
Color space
Three-dimensional space representing colors.
Note 1.That is, each color is represented as a point in the three-dimensional coordinate system. The color space is also called a color model, and commonly used color spaces are RGB, CIELAB,
HSV and HSI etc.
Note 2.Rewrite GB/T 5698-2001, definition 4.57.
3.2
Hue
Represents red, yellow, green, blue, purple and other color characteristics.
One of the three attributes of color.
Note. The important attribute of color, which determines the nature of color, is the perception of a certain color on the surface of the object.
[GB/T 5698-2001, definition 5.7]
3.3
Lightness
Under the same lighting conditions, the whiteboard is used as the benchmark to give the visual perception characteristics of the object surface.
One of the three attributes of color.
Note. Rewrite GB/T 5698-2001, definition 5.8.
3.4
Saturation
It is used to evaluate the visual attributes of pure color components in the entire vision.
[GB/T 5698-2001, definition 5.10]
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