Crop row detection method based on minimum tangent circle and morphological principles
A detection method and crop row technology, applied in directions such as navigation and calculation tools, can solve problems such as low accuracy of crop row skeleton, inability to solve ridge breakage and large spacing, and achieve the effect of avoiding the effects of noise such as weeds
Active Publication Date: 2017-08-25
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
View PDF1 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, since this patent cannot solve the situation of broken ridges and large spacing between crop plants when extracting the crop row skeleton, the accuracy of the extracted crop row skeleton is not high
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0028] The present invention is specifically described below by means of drawings and examples.
[0029] like figure 1 Shown, a kind of crop row detection algorithm based on minimum tangent circle and morphological principle among the present invention, comprises the following steps:
[0030] Step S1, using the MV-VD030SC model industrial camera and the AFT-0814MP lens to collect cornfield images, the height of the camera is about 1.8 meters above the ground, and the obtained 8-bit RGB color image is decolorized, as shown in Figure 2 (a) Show. Save the RGB color image in a computer program in BMP format with an image size of 640*480. Through the MFC-based image processing vision program, the picture is directly displayed on the program running interface.
[0031] Step S2, performing grayscale processing on the acquired RGB color image using an improved overgreen grayscale method. Improve the traditional overgreen feature algorithm Gray=2G-R-B, and get an improved gray algo...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a crop row detection method based on the minimum tangent circle principle and morphology. The steps are as follows: collecting corn crop row images in an outdoor field environment; using an improved overgreen grayscale method to gray the corn crop row images The median filter basically eliminates the noise interference and the target area is clearly separated; then the binary image of the corn crop row is obtained by using the maximum inter-class variance method; according to the linear characteristics of the crop row, 5 *1 The method of combining linear structural elements and 3*3 square structural elements is used to perform erosion and expansion operations; the method of combining the minimum tangent circle and morphology is used to extract the skeleton of the central corn crop row and to simulate the central crop row straight line combine. The invention can provide accurate position information for the navigation line, has strong anti-interference ability to the edge noise of the crop row, provides a reference basis for further research on precise pesticide application, and can meet the needs of agricultural machinery for walking in opposite directions.
Description
technical field [0001] The invention relates to the technical field of crop row detection, in particular to a crop row detection method based on the minimum tangent circle and morphological principles, which is mainly used in the detection of the centerline of crop rows for automatic walking of agricultural machinery or automatic alignment of precise pesticide application machinery . Background technique [0002] In the research of modern precision agriculture system, the identification of crop row centerline information plays an important role. Digital image processing algorithm has great advantages in automatic identification, which is the foundation and key technology of modern precision agriculture. Previous studies have shown that crop row extraction methods have the disadvantages of singleness and poor adaptability, and different periods of crop growth, illumination, and crop types will affect the realization of the algorithm. Designing a crop row recognition method ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G01C21/20
CPCG01C21/20
Inventor 刁智华钱晓亮毋媛媛王宏贺振东吴贝贝魏玉泉刁春迎
Owner ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY