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Image characteristic extracting method and device

An image feature extraction and image technology, applied in the field of image processing, can solve the problems of low accuracy, difficult to solve the problem of target fruit image adhesion, slow speed, etc., and achieve the effect of solving the segmentation problem

Inactive Publication Date: 2009-07-29
CHINA AGRI UNIV
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Problems solved by technology

The above methods are difficult to solve the problem of target fruit image adhesion, and there are defects such as slow speed or low accuracy.

Method used

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  • Image characteristic extracting method and device
  • Image characteristic extracting method and device
  • Image characteristic extracting method and device

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Embodiment Construction

[0027] The technical solutions of the embodiments of the present invention will be described in further detail below with reference to the drawings and embodiments.

[0028] The image feature extraction method provided by all the embodiments of the present invention is mainly aimed at the method for extracting image features of the quasi-circular target fruit under natural conditions. In the following embodiments, the quasi-circular target fruit can be selected to take apples as an example. .

[0029] figure 1 It is a flowchart of an image feature extraction method according to an embodiment of the present invention. like figure 1 As shown, the image feature extraction method of the present embodiment is specifically:

[0030] Step 11, generate a weighted image according to the image collected, the pixel of the weighted image is obtained by weighting the sum-difference ratio of the corresponding pixel in the RGB color space and the gray value of the corresponding pixel in t...

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Abstract

The embodiment of the invention discloses an image feature extraction method and a device thereof, wherein, the image feature extraction method comprises the steps as follows: a weighted image is generated according to a collected image and a pixel of the weighted image is obtained from weighting the sum-difference ratio of a corresponding pixel of the pixel of the weighted image in a RGB color space and the gray value of a corresponding pixel in a Lab color space; a binary image is generated according to the weighted image and comprises a target image and a background image; a hole of the target image in the binary image is filled and noise in the binary image is also removed; edge images of the target image after filling and contour-rectangle images of the edge images are both obtained; and as to any contour-rectangle image, the center and radius of a corresponding circle is obtained according to the calculation of the edge image in the contour-rectangle image. The image feature extraction method and the device thereof proposed solve problems in the recognition of a target-segmented image when targets are more, overlapped with each other and blocked, and are characterized by accurateness and high speed.

Description

technical field [0001] Embodiments of the present invention relate to image processing technologies, and in particular to an image feature extraction method and device. Background technique [0002] With the continuous development of science and technology, fruit and vegetable picking robots based on image processing technology have come out. The emergence of fruit and vegetable picking robots has solved the problem that fruit farmers cannot pick in time due to the large planting area during the picking season, and has high picking success rate and picking efficiency. The advantage of saving manpower. [0003] In order to make fruit and vegetable picking robots better serve fruit farmers, it is necessary to continuously improve the technology of fruit and vegetable picking robots. Among them, the vision system of the fruit and vegetable picking robot is a key component of the fruit and vegetable picking robot. The main function of the vision system is to identify the target...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
Inventor 刘刚司永胜高瑞刘兆祥乔军何蓓
Owner CHINA AGRI UNIV
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