Component automatic measurement method based on image color feature

A color feature and automatic measurement technology, applied in the field of image analysis, can solve time-consuming and labor-intensive problems

Inactive Publication Date: 2015-10-14
刘畅 +1
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] It is time-consuming and labor-intensive to measure the composition by man

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Component automatic measurement method based on image color feature
  • Component automatic measurement method based on image color feature
  • Component automatic measurement method based on image color feature

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0079] Before color clustering of a color image, it is necessary to analyze the image characteristics and select an appropriate color space. In order to facilitate the calculation of color similarity, it is necessary to normalize the numerical variables.

[0080] (1) Color representation of microscopic images

[0081] The paper microscopic image is a color image, and the color difference of different types of fibers in the image is obvious. The color difference is the perception characteristic of the human eye, so the HSI color space that is more in line with the human eye perception is selected. The brightness (I component) in the HSI color space has nothing to do with the color information of the image and represents the gray level. Therefore, the color difference mainly considers the other two components, hue (H component) and saturation (S component). These two components represent the color information of the image and are closely connected with the way people perceive color...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A component automatic measurement method based on an image color feature belongs to the field of image analysis. The method provided by the invention realizes automatic measurement of components of paper, metal and the like containing mixtures. Component analysis of a paper based relic and a metal relic is a necessary part before maintenance and protection processing. The current component analysis mostly adopts two methods: one is manual observation of a microscopic image and manual speculation; and the other is measurement based on high-end scientific instruments, such as mass spectrometers, energy dispersive spectrometers, etc., and the method is higher in cost. An image analysis model automatically measures the components by analyzing the microscopic image and realizes automation of the measurement, so that costs are lowered and the image analysis model is green, efficient and low in consumption. The image analysis model can process color and greyscale images, and is widely applicable and has a relatively favorable application prospect.

Description

Technical field [0001] The invention belongs to the field of image analysis technology. With the help of the color characteristics of the image, the automatic measurement of the components containing mixtures such as paper and metal is realized. The composition analysis of paper cultural relics and metal cultural relics is a necessary link before restoration and protection. At present, there are two methods for composition analysis: one is to manually observe microscopic images and artificially speculate; the other is to measure with high-end scientific instruments such as mass spectrometers and energy spectrometers, which is costly. The image analysis model realizes the automation of measurement and reduces the cost by analyzing the microscopic images and automatically measuring the components. It is a green, efficient and low-consumption model. The model can handle color and grayscale images, has a wide range of applications, and has strong application prospects. Background ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/00G06T7/40G06K9/62G01N21/25
CPCG06T7/0004G01N21/25G06T2207/10024G06T2207/30124G06F18/23213
Inventor 刘畅李晓岑
Owner 刘畅
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products