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A fruit recognition method based on multi-source image information fusion

A fruit recognition and image fusion technology, applied in the field of fruit recognition based on multi-source image information fusion, can solve the problem of target recognition that has not been reported, and achieve the effect of accurate matching

Inactive Publication Date: 2016-02-17
CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Achievements include face recognition, map creation of navigation robots, detection of parking spaces to assist parking, etc., but target recognition applied to the complex environment of orchards has not been reported

Method used

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  • A fruit recognition method based on multi-source image information fusion
  • A fruit recognition method based on multi-source image information fusion
  • A fruit recognition method based on multi-source image information fusion

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Experimental program
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Embodiment Construction

[0032] The vision system used in this embodiment is mainly composed of a depth camera, a color camera, an adjustable tripod, a data cable and a notebook computer. Among them, the selected model of the depth camera is Camcube3.0, its standard measurement range is 0.3~7m, the viewing angle is 40°×40°, the image resolution is 200×200 pixels, and the emission wavelength of the built-in light source is 870nm. Due to the integrated background light suppression technology, it is suitable for outdoor environment. The camera contains two photosensitive elements: one is a traditional image sensor CMOS to obtain the intensity image of the scene; the other uses a "smart pixel array", which is characterized in that each pixel can measure the modulated infrared emitted by the light The time taken for the light to return and the attenuation amplitude, combined with the speed of light, can be used to know the distance from the camera to the measured object, and finally present the effect ...

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Abstract

The invention provides a fruit identification method based on multi-source image information fusion and relates to the technical field of automatic identification of fruits under the natural environment. The method comprises the following steps: using a vision system combined by a depth camera and a color camera, s synchronous collecting a multi-source image to conduct preprocessing, and obtaining an image to be registered; conducting precise registering for the image to be registered; conducting pixel-level image fusion on an image which is precisely registered, and obtaining a pixel-level fusion image; and conducting identification on a fruit area in the pixel-level fusion image. The method overcomes the defect that a single imaging sensor collects an image to conduct fruit recognition, improves accuracy of fruit recognition, reduces effect of fruit non-structural environment on identification, and achieves reliable identification of the fruit area.

Description

technical field [0001] The invention relates to the technical field of automatic identification of fruits in natural environments, in particular to a fruit identification method based on fusion of multi-source image information. Background technique [0002] Reducing the impact of the unstructured environment, improving the limitations of sensors, and improving the accuracy of target recognition have always been the difficulties and priorities that need to be overcome in the research of fruit and vegetable picking robots at home and abroad, and the means of obtaining the optimal amount of information in the environment has become the key to solving the above problems Important initiatives, related research abounds. The color camera can collect color information in the orchard environment, and derive characteristic parameters such as color difference, texture and shape as the basis for fruit recognition. However, because the camera itself is significantly affected by ambient ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T5/50
Inventor 刘刚冯娟王圣伟马晓丹周薇
Owner CHINA AGRI UNIV