Spectral image-based meat quality visual non-contact detection method

A spectral image and detection method technology, which is applied in the field of non-destructive testing of food objects, can solve problems such as internal quality cannot be achieved, and achieve the effect of simplifying operations and saving time

Inactive Publication Date: 2012-07-11
沛县汉腾建设发展有限公司
View PDF9 Cites 40 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The traditional machine vision inspection detects the appearance characteristics of the measured object in the range of visible light, and has the characteristics described by the spatial distribution of the detection index, but the internal quality cannot be realized due to the display of the imaging spectral band.

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
  • Spectral image-based meat quality visual non-contact detection method
  • Spectral image-based meat quality visual non-contact detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] A visual non-contact detection method for meat quality based on spectral images, the steps comprising:

[0038] 1) Establish a traditional detection index spectrum prediction model library;

[0039] 2) Collect spectral images of the detected meat objects;

[0040] 3) Preprocessing the spectral image obtained in step 2);

[0041] 4) for the spectral image obtained in step 3), extract the effective detection area in the spectral image;

[0042] 5) Using the corresponding traditional detection index spectrum prediction model in the model library established in step 1), visually detect the effective detection area of ​​the measured meat object, and finally obtain the visual detection result of the meat quality index;

[0043] In described step 1), the establishment steps of the traditional detection index spectral prediction model library are as follows:

[0044] 101) Build a sample library:

[0045] Select the detection object under the population, location, storage meth...

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 spectral image-based meat quality visual non-contact detection method. By means of spatial distribution information and spectral characteristic information which are contained in a spectral image and reflect the characteristics of an object to be detected, multiple indexes of meat quality (such as water content, water activity, volatile basic nitrogen, meat color, microorganism counts, acid value and pH value) are respectively or comprehensively evaluated, and evaluation results are given in an image mode according to spatial distribution conditions of specific indexes in the object to be detected. The method can be used for quick and non-contact inspection of meat production, processing, storage, transportation and marketing links, inspection results are accurate and objective, and the expression mode is intuitive, so that a guarantee means for supervising the production and marketing quality safety of meat is provided.

Description

technical field [0001] The invention relates to a method for detecting the quality of meat products, in particular to non-contact detection of meat products based on spectral images, and the detection results are visualized to present the distribution of relevant quality on the measured surface, which belongs to the non-destructive food object detection technology field. Background technique [0002] my country is the largest economy in the production and consumption of pork, and the production and sales of pork rank first in the world all the year round. However, the inspection methods for meat products are still at a relatively low level. The traditional sensory inspection, physical and chemical inspection, and microbial inspection have shortcomings such as high subjectivity, single index, and long time-consuming, which are inconvenient for on-site application, which limits the use in storage, transportation, and sales. Link to the inspection of meat products. [0003] T...

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): G01N21/25
Inventor 汪希伟赵茂程居荣华赵宁王琤支勇海宋青华陈亭亭华东青
Owner 沛县汉腾建设发展有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap