Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Detection method of imperfect rice grains

A detection method and perfect technology, which are used in measurement devices, optical testing flaws/defects, image data processing, etc., to achieve the effect of convenient detection methods and good judgment and identification

Inactive Publication Date: 2018-10-02
NANJING UNIV OF FINANCE & ECONOMICS
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is not common to use computer vision to discriminate various imperfect grains of rice, which is of great significance to improve the efficiency of procurement and reduce the error of manual discrimination

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
  • Detection method of imperfect rice grains
  • Detection method of imperfect rice grains
  • Detection method of imperfect rice grains

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The present invention will be further described below in conjunction with specific steps

[0023] 1. Test materials

[0024] The rice grains needed for the experiment were screened according to the GB1354-2009 standard. The samples were purchased from Huaian, Jiangsu. After artificial selection of imperfect grains such as insect infestation, chalkiness, and damage, they were stored for use.

[0025] 2. Test image acquisition device

[0026] Computer vision system mainly consists of computer, camera, light source, bracket and base. The camera used is a Sony camera, and then the acquisition conditions are filtered.

[0027] ① Light source selection: The light source provides the brightness required for sample detection and photography, and the LED light source is selected as the detection light source.

[0028] ②Background selection: different backgrounds have different absorption of light. Generally speaking, a black background is the best.

[0029] Finally, make sure that the lig...

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 detection method of imperfect rice grains, and belongs to the field of non-destructive detection during storage and processing of agricultural products. The detection methodof the imperfect rice grains is achieved by acquiring images by a computer image acquisition system to obtain images of perfect grains and the imperfect grains, processing the images to obtain relevant parameters of the images, selecting appropriate parameters, establishing a model, and distinguishing the imperfect grains. Compared with other detection ways, the detection method provided by the invention has the characteristics of fastness, convenience and high efficiency and is of a great significance in grain safety quality.

Description

Technical field [0001] The invention is a method for detecting imperfect grains of rice based on machine vision, and belongs to the field of non-destructive inspection of agricultural products storage and processing. Background technique [0002] With the increase in rice output, people are more concerned about the appearance quality of rice and the eating quality of rice, which requires timely inspection of multiple links such as rice production and processing. In the aspect of rice quality inspection, most of the manual measurement methods are currently used, and the results are obtained through visual inspection and sensory evaluation. However, due to differences in human subjective factors, the detection speed and accuracy rate are relatively low, resulting in different results. How to achieve rapid non-destructive inspection of rice, which can improve the efficiency of purchase and reduce the error of manual discrimination, is a problem that needs to be solved at the moment....

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): G01N21/95G01N21/88G06T7/00G06T7/11G06T7/13G06T7/136G06T7/44G06T7/62G06T7/90
CPCG01N21/8851G01N21/95G06T7/0012G06T7/11G06T7/13G06T7/136G06T7/44G06T7/62G06T7/90G06T2207/10024G06T2207/20032G06T2207/30188
Inventor 袁建陈尚兵邢常瑞沈飞何荣鞠兴荣
Owner NANJING UNIV OF FINANCE & ECONOMICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products