Unlock instant, AI-driven research and patent intelligence for your innovation.

Vein network image extraction device

A network image and extraction device technology, applied in the direction of image communication, electrical components, etc., can solve the problems of incomplete leaf vein network image, inability to display the small terminal side veins of leaves, and inability to obtain real images of leaf vein network structure, etc., to achieve structural The effect of simplicity, low equipment cost and convenient operation

Pending Publication Date: 2022-08-02
郑比芳
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The fine terminal lateral veins of these leaves cannot be visualized using a pure transmission scan
Therefore, the scanned image of the leaf vein network is incomplete; using an ordinary flat-bed scanner for optical scanning can only display the surface of the leaf, and cannot obtain a true image of the leaf vein network structure

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vein network image extraction device
  • Vein network image extraction device
  • Vein network image extraction device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] like Figures 1 to 7 As shown, a leaf vein network image extraction device includes a body 1, a controller 13, a photoelectric converter, an original table 2, an upper cover 3, a driving mechanism and a scanning head 4, a controller 13, an original table 2, an upper cover 3, The driving mechanism and the scanning head 4 are both installed on the body 1, and the driving mechanism and the scanning head 4 are controlled by the controller 13. The driving mechanism is connected with the scanning head 4 to drive the scanning head 4 to move. The body 1 is provided with a second installation. Slot 11, the drive mechanism includes a stepper motor 51, a screw rod 52, a sliding table 53 and a guide rail 12, the stepper motor 51, the screw rod 52 and the guide rail 12 are installed in the second installation slot 11, and the scan head 4 is slidably sleeved on the guide rail 12, a linear bearing 42 is installed between the scanning head 4 and the guide rail 12, the stepping motor 51...

Embodiment 2

[0044] Different from Embodiment 1, in this embodiment, the lamp tube 47 can be either a cold light lamp or a thermal light source. In this example, the lamp tube 47 is preferably an LED light bar, the shading plate 48 is aluminum foil, the aluminum foil is a black matte surface, and the aluminum foil is attached to the reflective surface. Any reflector of group 43 is partially blocked by the reflector. By reducing the total amount of light reflection, the influence of the transmitted light source 32 on the leaf and the increase in the brightness of the leaf surface on the scanning can be reduced, and the light flux received by the CCD photoreceptor 45 has been reduced to obtain a clearer image. Image of leaf veins.

[0045] The aluminum foil is attached to the first reflector of the reflector group 43, and the shielding area of ​​the reflector by the aluminum foil is 50% to 65% of the reflective area of ​​the reflector, preferably 60% in this embodiment, within this size range...

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

No PUM Login to View More

Abstract

The invention belongs to the technical field of vein image extraction equipment, and particularly relates to a vein network image extraction device which comprises a machine body, a controller, a photoelectric converter, an original manuscript table, an upper cover, a driving mechanism and a scanning head, and the controller, the original manuscript table, the upper cover, the driving mechanism and the scanning head are all installed on the machine body. The driving mechanism is in transmission connection with the scanning head and used for driving the scanning head to move, the scanning head comprises a scanning cabin, a light blocking cover, a lamp tube, a light reflecting set, a prism and a CCD photoreceptor, a first light window is formed in the scanning cabin, the light blocking cover is located in the first light window, the lamp tube is located in the light blocking cover, the CCD photoreceptor is connected with the photoelectric converter, and a transmission light source and a transparent pressing plate are installed on the upper cover. The transparent pressing plate covers the transmission light source, the scanning head is provided with a light shielding plate, and the light shielding plate is used for reducing the luminous flux of reflected light after the lamp tube irradiates a scanned object, so that the problems that the existing vein image is difficult to obtain, the vein and mesophyll cannot be distinguished by a traditional scanner, and a relatively three-dimensional vein structure is difficult to obtain are solved.

Description

technical field [0001] The invention belongs to the technical field of leaf vein image extraction equipment, and in particular relates to a leaf vein network image extraction device. Background technique [0002] The system structure determines the system function. Understanding the leaf vein network structure of a specific plant is of great significance for understanding and utilizing the specific functions of plants. To understand the leaf vein network structure, it is necessary to first extract the binary image of the leaf vein network, and then use suitable software to submit the binary image to the computer for calculation, so as to obtain various parameters that characterize the leaf vein network structure characteristics. By analyzing these structural parameters, we can further understand the relationship between leaf vein network structure and leaf photosynthesis function and characteristics of plant stress resistance. Accordingly, the target plant individual plant...

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
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04N1/00H04N1/028H04N1/04
CPCH04N1/00519H04N1/028H04N1/04
Inventor 马良清郑比芳
Owner 郑比芳