Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for classifying homochromatic furs of homologous animals

A classification method and fur technology, applied in the field of fur dyeing, can solve problems such as affecting the automation of fur dyeing, not finding the same color fur classification of the same species, time-consuming and labor-intensive, etc. Effect

Pending Publication Date: 2020-06-12
SHAANXI UNIV OF SCI & TECH
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the classification of the pure-color fur of the same animal is roughly classified by the manual touch of the fur by the master worker. It is time-consuming and labor-intensive for large-scale dyeing, which is an important link that affects the automation of the whole fur dyeing process.
However, there is no relevant report on the classification of the same color fur of the same animal in China.

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
  • Method for classifying homochromatic furs of homologous animals
  • Method for classifying homochromatic furs of homologous animals
  • Method for classifying homochromatic furs of homologous animals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0047] For example, for the classification of white rabbit skin in my country, under normal circumstances, white rabbit skin will be divided into two categories according to hair density and hair density before fur dyeing. Select a typical hairy fur as a reference, and collect N image data in the self-designed camera obscura, where N is selected as 10, then the V1 vector is:

[0048]

[0049] Now take a photo of the furmipi in a dark box, and then convert it into a one-dimensional signal through two-dimensional Fourier transform, and find the maximum value of the one-dimensional signal, and the V2 vector is obtained as:

[0050]

[0051] Then the pairwise comparison matrix A is:

[0052]

[0053]

[0054] Through the judgment of matrix A, it is found that all 100 elements of matrix A are less than 1, so the measured fur and typical fur are not the same kind of fur, which is consistent with the actual situation, that is, white fur dense rabbit fur and white fur sparse...

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

The invention discloses a method for classifying same-color furs of the same animal, and the method comprises the steps: carrying out the photographing of measured furs for N times, and obtaining N pieces of two-dimensional measured fur image information; sequentially carrying out two-dimensional Fourier transform and column direction summation on each piece of two-dimensional detected fur image information to obtain one-dimensional information, and solving a frequency domain maximum value of the one-dimensional information to obtain detection vectors of N elements; comparing the N elements inthe detection vector with the N elements in the reference vector in pairs to obtain an N * N comparison matrix; if 95% of elements in the contrast matrix are greater than 1 or less than 1, the measured fur and the reference fur do not belong to the same kind of fur, otherwise, the measured fur and the reference fur belong to the same kind of fur. According to the method, a camera is used for photographing, obtained image data is sequentially subjected to two-dimensional Fourier transform and same-column addition to be converted into one-dimensional frequency domain data, the maximum value ofthe one-dimensional data is extracted, the type of the fur is automatically judged according to the frequency domain energy ratio, and unmanned, automatic and rapid classification of the fur is achieved.

Description

technical field [0001] The invention relates to the technical field of fur dyeing, in particular to a method for classifying the same-color fur of the same animal. Background technique [0002] In the fur dyeing industry, different species of fur have significant differences in the absorption of dyes by animal fibers, so they must be dyed with different dye formulations. For the same pure-color fur of the same animal, due to different reasons such as origin, domestication, and wildness, it will cause dense or sparse hair. In the actual dyeing process of fur-like fur, it will be found that there are significant differences in the absorption of dyes between the two, and they are also dyed with different dye formulas. Therefore, it is necessary to classify the pure-colored fur of the same animal before dyeing. [0003] At present, the classification of the pure-color fur of the same animal is roughly classified by the manual touch of the fur by the master worker. It is time-co...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/56G06F18/24
Inventor 郭拓王海燕陈晓马令坤孙连山
Owner SHAANXI UNIV OF SCI & TECH