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A Recognition Method of Oil Peony Fruit Image Based on Force

A technology of oil peony and recognition method, which is applied in the field of image recognition, can solve problems such as inaccurate segmentation recognition rate, and achieve the effect of automatic picking

Inactive Publication Date: 2019-03-22
BEIJING FORESTRY UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In the above segmentation and recognition methods of many agricultural, forestry, fruit and vegetable images, there are specific requirements for lighting conditions, occlusion, etc., and there are also problems such as inaccurate segmentation and recognition rates.
In addition, compared to the special research object, there is no general image segmentation method suitable for all images.

Method used

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  • A Recognition Method of Oil Peony Fruit Image Based on Force
  • A Recognition Method of Oil Peony Fruit Image Based on Force
  • A Recognition Method of Oil Peony Fruit Image Based on Force

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] The oil peony fruit image is recognized by using the force-based oil peony fruit image recognition method provided by the present invention, wherein, when the angle between the fan and the target fruit is both 30°, the unidirectional fan loads the device In the case of different wind speed and flow rate, such as 5m 3 / min-25m 3 / min, the obtained fruits, leaves and displacement difference are shown in Table 1 and attached Figure 5:

[0075] Table 1

[0076]

[0077]

[0078] Depend on Figure 5 As can be seen from Table 1, when the angle between the fan and the target fruit is the same as 30°, the wind speed is 7-14m 3 The greater the average displacement difference between the fruit and the leaves at the time of / min, the more obvious the separation effect is;

Embodiment 2

[0080] Adopt the recognition method of the peony fruit image for oil based on the force provided by the present invention to recognize the image of the peony fruit for oil, wherein, the wind speed and flow rate of the unidirectional fan loading device is 13m 3 / min, when the angle between the fan and the target fruit is different, such as 10°~90°, the obtained fruit, leaves and displacement difference are as follows in Table 2 and attached Figure 6 :

[0081] Table 2

[0082]

[0083] Depend on Figure 6 And Table 2 shows that at a wind speed of 13m 3 / min, when the angle between the fan and the target fruit is 25°-45°, the average displacement difference between the fruit and the leaves is larger, and the separation effect is more obvious, and the separation effect is the most obvious when the angle is 30°;

[0084] To sum up, it can be seen that the most optimal fan is 30° to the target fruit, and the wind speed is 7-14m 3 / min, the average displacement difference be...

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Abstract

The invention provides a method for recognizing images of peony fruits for oil based on stress. The recognition method comprises the following steps: constructing a charge-coupled device (CCD) machine vision system with external force application equipment, and collecting peony plants for oil under the action of external force. The images before and after the displacement are shown below; in the images before and after the displacement of oil peony plants, the reference sub-area, the search sub-area, and the target sub-area are respectively selected; the reference sub-area and the target sub-area are calculated to obtain the target sub-area in the target sub-area Point position coordinates, so as to obtain the displacement vector of the fruit and leaves, select a predetermined displacement vector threshold, and obtain the image of the fruit outline; use the sub-pixel search algorithm to obtain the precise centroid position of the oil peony fruit; at the same time, establish the oil peony Fruit chromaticity evolution model: According to the chromaticity evolution model, a characteristic variable that can represent the maturity change of peony fruit is proposed to judge the maturity, so as to complete the positioning identification and maturity judgment of oil peony fruit.

Description

technical field [0001] The invention relates to the related field of image recognition, in particular to a force-based recognition method of peony fruit image for oil. Background technique [0002] Machine automation in the fruit picking process is the development direction of intelligent agricultural machinery in the future. Mobile picking equipment is generally composed of manipulators, end effectors, mobile mechanisms, machine vision systems, and control systems. Among them, the autonomous navigation of the mobile mechanism and the machine vision system solve The autonomous walking and target positioning of picking equipment are the core and key of the entire equipment system. Accurate positioning can effectively improve picking efficiency and save labor costs. [0003] At present, there is a shortage of edible oil supply in our country. In order to improve the self-sufficiency rate of edible oil, vigorously developing new oil crops is one of the effective ways to solve t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/188G06V10/56G06V20/68
Inventor 赵健赵东李天行张建中
Owner BEIJING FORESTRY UNIVERSITY