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

Method for identifying early-phase bruise of loquat through SD-OCT image

A technology of SD-OCT and images, applied in the fields of application, cultivation, agriculture, etc., can solve the problems of low efficiency, large loquat OCT images, lack of methods for early bruise identification of loquats, etc., to improve efficiency and accuracy, and reduce costs , the effect of good positioning accuracy

Active Publication Date: 2017-01-18
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF6 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the large output of loquats in industrial applications, each batch of goods consists of tens of thousands of loquats, so the amount of OCT images of loquats is very large, and manual discrimination is very inefficient. Therefore, it is necessary to automatically analyze the images
In the application process of loquat OCT images, there are few reports on automatic detection algorithms, and the research is still in its infancy. The existing technology lacks methods for early identification of loquat bruises

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 identifying early-phase bruise of loquat through SD-OCT image
  • Method for identifying early-phase bruise of loquat through SD-OCT image
  • Method for identifying early-phase bruise of loquat through SD-OCT image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0042] Embodiments of the present invention and its implementation process are as follows:

[0043] (1) 40 SD-OCT image samples of loquat fruit were collected using the TELSTO 1300V2 SD-OCT imager produced by Thorlabs, of which 20 contained bruising defects of varying degrees, and 20 were normal samples; figure 2 It is the OCT image of two typical loquat samples, in which (a) is a normal sample without defects, and (b) the sample pulp tissue has bruise defects. It can be seen that the normal non-defective tissue structure is dense and compact, while the tissue with bruises has sparse tissue with less density.

[0044] (2) SD-OCT image is subjected to noise reduction processing;

[0045] 2....

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 identifying an early-phase bruise of a loquat through an SD-OCT image. The SD-OCT image of the loquat fruit is subjected to noise reduction to remove a background in the image, acquire a boundary of the background and a target, and separate a loquat fruit target, the image is sequentially leveled and transformed, an image detection area is chosen to implement parameter fitting after the image is compressed, the attenuation coefficient of a pulp tissue of the loquat in the image detection area is solved, and a bruise result is judged according to a threshold value of the attenuation coefficient. The method detects the early-phase bruise of a loquat pulp, completes the automatic identification and judgment of the bruise tissue, has a stronger adaptability to the bruise tissues at different forms, so that the detection efficiency is improved, and with the matching of an appearance detection method like imaging, a technical foundation is laid for online detection of the interior quality of the loquat.

Description

technical field [0001] The invention belongs to the field of automatic detection of fruit internal quality, and relates to an OCT image processing method, in particular to a method for identifying early bruises of loquats using SD-OCT images. Background technique [0002] Loquat is one of the unique fruit products in my country, and the rapid detection method of its internal quality is the main technical problem faced by the development of loquat industry. During storage and transportation, loquats are extremely vulnerable to mechanical damage, resulting in later spoilage. Loquat bruises may appear in various links such as picking, storage, transportation, packaging, etc., and it is not easy to be noticed in the early stage. The shelf life of loquats after bruising is greatly shortened. Due to the damage of cell structure, the tissue gradually browns, which seriously restricts the production and sales of loquats. [0003] In the non-destructive testing of the internal stru...

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): A01G17/00
CPCA01G17/005
Inventor 周扬刘铁兵王中鹏陈正伟施秧周武杰毛建卫陈芳妮宋起文陶红卫吴茗蔚刘喜昂施祥翁剑枫
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com