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Oil peony fruit image identification method based on stress

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

Inactive Publication Date: 2016-08-10
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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  • Oil peony fruit image identification method based on stress
  • Oil peony fruit image identification method based on stress
  • Oil peony fruit image identification method based on stress

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0076] 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 :

[0077] Table 1

[0078]

[0079]

[0080] 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

[0082] Adopt the recognition method based on the oil peony fruit image provided by the present invention to recognize the oil peony fruit image, wherein, the wind speed and flow rate of the one-way fan loading device is 13m 3 / min, when the angle between the fan and the target fruit is different, such as 10°~90°, the fruit, leaf and displacement difference obtained are as follows in Table 2 and attached Figure 6 :

[0083] Table 2

[0084]

[0085] 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°;

[0086] 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 between the fruit and the leaf is the l...

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Abstract

The invention provides an oil peony fruit image identification method based on stress. The identification method comprises the following steps: constructing a charge coupling device (CCD) machine visual system with an external force application device, and acquiring images of oil peony plants under the effects of external forces before and after displacement; respectively selecting a reference subarea, a search subarea and an object subarea from the images of the oil peony plants before and after the displacement; performing calculation on the reference subarea and the object subarea, obtaining position coordinates of object points in the object subarea, obtaining displacement vectors of fruits and blades, selecting predetermined displacement vector thresholds, and obtaining images of fruit contours; by use of a sub-pixel search algorithm, obtaining accurate centroid positions of the oil peony fruits; at the same time, establishing an oil peony fruit chroma evolution model; and according to the chroma evolution model, bringing forward feature variables capable of representing maturity change of the oil peony fruits to determine maturity so as to complete positioning identification and maturity determination of the oil peony fruits.

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 Applications(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
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