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A method for image segmentation of bagged green fruit

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

Active Publication Date: 2018-05-04
江苏利泰智能科技有限公司
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  • 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

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  • A method for image segmentation of bagged green fruit
  • A method for image segmentation of bagged green fruit
  • A method for image segmentation of bagged green fruit

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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...

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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

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/136G06T7/11G06T7/187G06T7/90
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
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