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

Bagged green fruit image segmentation method

An image segmentation and fruit technology, applied in the field of image processing, can solve the problem of not many images of bagged apples

Active Publication Date: 2016-06-22
江苏利泰智能科技有限公司
View PDF5 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are not many researches on the segmentation of bagged apple images, especially bagged green apple images have not been reported yet.

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
  • Bagged green fruit image segmentation method
  • Bagged green fruit image segmentation method
  • Bagged green fruit image segmentation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings. The present invention is illustrated by taking apples as an example, but the present invention is equally applicable to other green fruits.

[0020] Such as figure 1 Shown, the bagged green fruit image segmentation method that the present invention proposes comprises the following steps:

[0021] (1) Image acquisition steps

[0022] The image acquisition is based on the visual sensor, which is used for subsequent extraction of the area information of the target object. The image acquisition is as follows: Figure 4 (a) shown.

[0023] (2) Extraction steps of fruit light constant area

[0024] The implementation process of this step is as follows figure 2 shown. In order to segment more green fruit areas, firstly, the limited contrast adaptive histogram equalization algorithm is applied to deepen the green color of the fruit target area in the collec...

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 bagged green fruit image segmentation method comprising image acquisition for acquiring a fruit image in real time; fruit light normal region extraction for extracting a surface light normal region from the image, namely, first deepening a fruit green region by an image color enhance algorithm, increasing a color distinction between leaves and the fruit light normal region by a contrast enhance algorithm, extracting a contrast-enhanced image from a color-enhanced aberration image, and performing dynamic threshold segmentation and de-nosing treatment; and fruit highlight region extraction for extracting the dominant hue of the image, reconstructing the image by using the dominant hue, and performing subtraction, binaryzation, and de-noising on the reconstructed image and an original image to achieve extraction take the fruit highlight region as a principal thing, and combining the two extracted regions to obtain a complete fruit target region. The method may segment bagged green fruit image, obtains a complete fruit region, and has an important effect on impetus for the practicality of an apple picking robot.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a bagged fruit image segmentation method, in particular to the segmentation of bagged green fruit images whose target and background colors are similar. Background technique [0002] At this stage, my country's apple planting area is increasing, and the varieties are gradually diversifying. Green apples protect the liver. They are low in sugar and can be eaten by diabetics. They are becoming more and more popular among the public. During the growing process of apples, growers usually bag the fruit. Apple bagging can significantly improve fruit quality and coloring, making the fruit smooth and bright, anti-aging, and less sunburn; it can be harvested in bags, stored in bags for freshness, and there is no need to open the bags when selling, and it is known to be free of pesticide pollution at a glance Green fruit, very popular with consumers. [0003] With the development...

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): G06T7/00G06T7/40
CPCG06T2207/30188
Inventor 吕继东王帆马正华徐黎明陈阳戎海龙杨彪林逸峰
Owner 江苏利泰智能科技有限公司
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