CN110930474A - Insect density thermodynamic diagram construction method, device and system - Google Patents
Insect density thermodynamic diagram construction method, device and system Download PDFInfo
- Publication number
- CN110930474A CN110930474A CN201911241936.2A CN201911241936A CN110930474A CN 110930474 A CN110930474 A CN 110930474A CN 201911241936 A CN201911241936 A CN 201911241936A CN 110930474 A CN110930474 A CN 110930474A
- Authority
- CN
- China
- Prior art keywords
- insect
- matrix
- image
- thermodynamic diagram
- density
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/40—Filling a planar surface by adding surface attributes, e.g. colour or texture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Computing Systems (AREA)
- Algebra (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Image Processing (AREA)
Abstract
The invention provides a method, a device and a system for constructing an insect density thermodynamic diagram, wherein the method comprises the steps of obtaining an insect image photo; extracting insects from the insect image photos through an image processing algorithm to generate an insect foreground matrix; performing convolution processing on the insect foreground matrix by using a parameter-adjustable Gaussian convolution kernel to obtain a primary insect density gradient matrix, wherein the value on the insect density gradient matrix is the weight value of the thermodynamic diagram; and correspondingly distributing color blocks with colors from dark to light according to the weighted values of the thermodynamic diagrams from large to small to form the insect density thermodynamic diagrams. The invention has the beneficial effects that: the time complexity of the construction of the insect density thermodynamic diagram is small, the insect density can be calculated in a short time, the insect density thermodynamic diagram is constructed, and the requirements of low delay and real-time data processing of the Internet of things can be met.
Description
Technical Field
The invention relates to the field of image processing, in particular to a method, a device and a system for constructing an insect density thermodynamic diagram.
Background
The traditional thermodynamic diagram calculation method is based on Euclidean distance, each pixel point of an original image is used for calculating Euclidean distance between the original image and all target pixel points on an insect foreground image, thermodynamic diagram weight division is carried out according to the calculated Euclidean distance, the smaller the Euclidean distance is, the larger the thermodynamic diagram weight is, pixels with different colors are finally distributed according to the thermodynamic diagram weight, and finally the insect density identification thermodynamic diagram is constructed. The time complexity of the calculation method is too large, and the low delay requirement of the Internet of things cannot be met.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: an insect density thermodynamic diagram construction method, device and system are provided, and the aim is to reduce the complexity of insect density thermodynamic diagram construction.
In order to solve the technical problems, the invention adopts the technical scheme that: a method for constructing an insect density thermodynamic diagram comprises the following steps,
acquiring an insect image photo;
extracting insects from the insect image photos through an image processing algorithm to generate an insect foreground matrix;
performing convolution processing on the insect foreground matrix by using a parameter-adjustable Gaussian convolution kernel to obtain a primary insect density gradient matrix, wherein the value on the insect density gradient matrix is the weight value of the thermodynamic diagram;
and correspondingly distributing color blocks with colors from dark to light according to the weighted values of the thermodynamic diagrams from large to small to form the insect density thermodynamic diagrams.
Further, the extracting the insects from the insect image picture through the image processing algorithm and the generating the insect foreground matrix comprise,
analyzing the insect image photo, and converting the insect image photo into an insect image pixel matrix;
and subtracting the insect picture pixel matrix from the background picture pixel matrix by a frame difference method to obtain an insect foreground matrix.
In order to solve the technical problem, the invention adopts another technical scheme as follows: an insect density thermodynamic diagram construction device comprising,
the insect image acquisition module is used for acquiring insect image photos;
the insect foreground matrix generation module is used for extracting insects from the insect image photos through an image processing algorithm to generate an insect foreground matrix;
the thermodynamic diagram weight value calculation module is used for carrying out convolution processing on the insect foreground matrix by using a parameter-adjustable Gaussian convolution kernel to obtain a primary insect density gradient matrix, and the value on the insect density gradient matrix is the weight value of the thermodynamic diagram;
and the insect density thermodynamic diagram forming module is used for correspondingly distributing color blocks with colors from dark to light according to the weight values of the thermodynamic diagrams from large to small to form the insect density thermodynamic diagrams.
Further, the insect foreground matrix generation module is specifically configured to,
analyzing the insect image photo, and converting the insect image photo into an insect image pixel matrix;
and subtracting the insect picture pixel matrix from the background picture pixel matrix by a frame difference method to obtain an insect foreground matrix.
An insect density thermodynamic diagram construction system comprises an LoRa node, an LoRa gateway and a central server;
the LoRa node is connected with a camera and used for collecting insect image photos and sending the collected insect image photos to the LoRa gateway;
the LoRa gateway is used for sending the insect image photos sent by the LoRa node to the central server;
the central server comprises a memory and a processor, wherein the memory is stored with a computer program, and the processor executes the computer program to realize the insect density thermodynamic diagram construction method.
The invention has the beneficial effects that: extracting insects from the insect image photos through an image processing algorithm to generate an insect foreground matrix; and carrying out convolution processing on the insect foreground matrix by using a parameter-adjustable Gaussian convolution kernel to obtain a primary insect density gradient matrix, wherein the value on the insect density gradient matrix is the weight value of the thermodynamic diagram, and color blocks with the colors from deep to light are correspondingly distributed according to the descending of the weight value of the thermodynamic diagram to form the insect density thermodynamic diagram. The time complexity of the insect density thermodynamic diagram construction method is small, the insect density can be calculated in a short time, the insect density thermodynamic diagram is constructed, and the requirements of low delay and real-time data processing of the Internet of things can be met.
Drawings
The following detailed description of the invention refers to the accompanying drawings.
FIG. 1 is a flow chart of a method for constructing an insect density thermodynamic diagram according to an embodiment of the present invention;
FIG. 2 is a block diagram of an insect density thermodynamic diagram building apparatus according to an embodiment of the present invention;
FIG. 3 is a diagram of an insect density thermodynamic diagram construction system in accordance with an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As shown in fig. 1, the first embodiment of the present invention is: a method for constructing an insect density thermodynamic diagram comprises the following steps,
s10, acquiring an insect image photo;
s20, extracting insects from the insect image photos through an image processing algorithm to generate an insect foreground matrix;
s30, performing convolution processing on the insect foreground matrix by using a parameter-adjustable Gaussian convolution kernel to obtain a primary insect density gradient matrix, wherein the value on the insect density gradient matrix is the weight value of the thermodynamic diagram;
and S40, correspondingly distributing color blocks with colors from dark to light according to the weight values of the thermodynamic diagrams from large to small to form the insect density thermodynamic diagrams.
Further, the extracting the insects from the insect image picture through the image processing algorithm and the generating the insect foreground matrix comprise,
analyzing the insect image photo, and converting the insect image photo into an insect image pixel matrix;
and subtracting the insect picture pixel matrix from the background picture pixel matrix by a frame difference method to obtain an insect foreground matrix.
In the embodiment, by constructing the parameter-adjustable Gaussian convolution kernel, the size and the standard deviation of the convolution kernel are adjustable, the generated Gaussian convolution kernel and the insect foreground matrix are subjected to picture convolution operation to obtain a preliminary insect density gradient matrix, and color blocks with colors from deep to light are correspondingly distributed according to the weight value of the thermodynamic diagram from large to small to form the insect density thermodynamic diagram.
As shown in fig. 2, the second embodiment of the present invention is: an insect density thermodynamic diagram construction device comprising,
the insect image acquisition module 10 is used for acquiring insect image photos;
the insect foreground matrix generating module 20 is configured to extract insects from the insect image photos through an image processing algorithm to generate an insect foreground matrix;
the thermodynamic diagram weight value calculation module 30 is used for performing convolution processing on the insect foreground matrix by using a parameter-adjustable Gaussian convolution kernel to obtain a primary insect density gradient matrix, wherein the value on the insect density gradient matrix is the weight value of the thermodynamic diagram;
and the insect density thermodynamic diagram forming module 40 is used for correspondingly distributing color blocks with colors from dark to light according to the weighted values of the thermodynamic diagrams from large to small to form the insect density thermodynamic diagrams.
Further, the insect foreground matrix generating module 20 is specifically configured to,
analyzing the insect image photo, and converting the insect image photo into an insect image pixel matrix;
and subtracting the insect picture pixel matrix from the background picture pixel matrix by a frame difference method to obtain an insect foreground matrix.
It should be noted that, as will be clear to those skilled in the art, the specific implementation process of the insect density thermodynamic diagram construction device described above can refer to the corresponding description in the foregoing method embodiments, and for convenience and brevity of description, no further description is provided herein.
As shown in fig. 3, a third embodiment of the present invention is: an insect density thermodynamic diagram construction system comprises an LoRa node, an LoRa gateway and a central server;
the LoRa node 2 is connected with a camera and used for collecting insect image photos and sending the collected insect image photos to the LoRa gateway 4;
the LoRa gateway 4 is configured to send the insect image photos sent by the LoRa node 2 to the central server 5;
the central server 5 comprises a memory, on which a computer program is stored, and a processor, which when executing the computer program realizes the steps of,
s10, acquiring an insect image photo;
s20, extracting insects from the insect image photos through an image processing algorithm to generate an insect foreground matrix;
s30, performing convolution processing on the insect foreground matrix by using a parameter-adjustable Gaussian convolution kernel to obtain a primary insect density gradient matrix, wherein the value on the insect density gradient matrix is the weight value of the thermodynamic diagram;
and S40, correspondingly distributing color blocks with colors from dark to light according to the weight values of the thermodynamic diagrams from large to small to form the insect density thermodynamic diagrams.
Wherein, loRa node 2 comprises STM32 main control chip, radio frequency module and gateway communication module to through serial ports connection camera 3, camera 3 installs on insect trap 1.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (5)
1. An insect density thermodynamic diagram construction method is characterized by comprising the following steps: comprises the following steps of (a) carrying out,
acquiring an insect image photo;
extracting insects from the insect image photos through an image processing algorithm to generate an insect foreground matrix;
performing convolution processing on the insect foreground matrix by using a parameter-adjustable Gaussian convolution kernel to obtain a primary insect density gradient matrix, wherein the value on the insect density gradient matrix is the weight value of the thermodynamic diagram;
and correspondingly distributing color blocks with colors from dark to light according to the weighted values of the thermodynamic diagrams from large to small to form the insect density thermodynamic diagrams.
2. The method of constructing an insect density thermodynamic diagram of claim 1, wherein: the method comprises the steps of extracting insects from an insect image photo through an image processing algorithm, generating an insect foreground matrix,
analyzing the insect image photo, and converting the insect image photo into an insect image pixel matrix;
and subtracting the insect picture pixel matrix from the background picture pixel matrix by a frame difference method to obtain an insect foreground matrix.
3. An insect density thermodynamic diagram constructing device, which is characterized in that: the insect density thermodynamic diagram constructing device comprises,
the insect image acquisition module is used for acquiring insect image photos;
the insect foreground matrix generation module is used for extracting insects from the insect image photos through an image processing algorithm to generate an insect foreground matrix;
the thermodynamic diagram weight value calculation module is used for carrying out convolution processing on the insect foreground matrix by using a parameter-adjustable Gaussian convolution kernel to obtain a primary insect density gradient matrix, and the value on the insect density gradient matrix is the weight value of the thermodynamic diagram;
and the insect density thermodynamic diagram forming module is used for correspondingly distributing color blocks with colors from dark to light according to the weight values of the thermodynamic diagrams from large to small to form the insect density thermodynamic diagrams.
4. An insect density thermodynamic diagram construction device as claimed in claim 3, wherein: the insect foreground matrix generation module is specifically configured to,
analyzing the insect image photo, and converting the insect image photo into an insect image pixel matrix;
and subtracting the insect picture pixel matrix from the background picture pixel matrix by a frame difference method to obtain an insect foreground matrix.
5. An insect density thermodynamic diagram construction system, characterized in that: the system comprises an LoRa node, an LoRa gateway and a central server;
the LoRa node is connected with a camera and used for collecting insect image photos and sending the collected insect image photos to the LoRa gateway;
the LoRa gateway is used for sending the insect image photos sent by the LoRa node to the central server;
the central server comprises a memory having stored thereon a computer program and a processor which, when executed, implements the insect density thermodynamic diagram construction method according to any one of claims 1-2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911241936.2A CN110930474B (en) | 2019-12-06 | 2019-12-06 | Insect density thermodynamic diagram construction method, device and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911241936.2A CN110930474B (en) | 2019-12-06 | 2019-12-06 | Insect density thermodynamic diagram construction method, device and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110930474A true CN110930474A (en) | 2020-03-27 |
| CN110930474B CN110930474B (en) | 2023-02-28 |
Family
ID=69857329
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911241936.2A Active CN110930474B (en) | 2019-12-06 | 2019-12-06 | Insect density thermodynamic diagram construction method, device and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110930474B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111737396A (en) * | 2020-08-26 | 2020-10-02 | 成都四方伟业软件股份有限公司 | Method and device for improving thermodynamic diagram display performance based on 2D convolution |
| CN112288795A (en) * | 2020-10-29 | 2021-01-29 | 深圳大学 | Insect density calculation method and device based on fast-RCNN |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130083974A1 (en) * | 2011-09-29 | 2013-04-04 | National Tsing Hua University | Image method for classifying insects and classifying process for insects |
| CN105844681A (en) * | 2016-03-22 | 2016-08-10 | 北京建飞无限科技有限公司 | Thermodynamic diagram drawing method and apparatus |
| WO2016145736A1 (en) * | 2015-03-18 | 2016-09-22 | 百度在线网络技术（北京）有限公司 | Method, apparatus and device for presenting thermodynamic chart and non-volatile computer storage medium |
| WO2018019857A1 (en) * | 2016-07-26 | 2018-02-01 | Demand Side Instruments | Method and device for measuring insect density |
| US20180225518A1 (en) * | 2017-02-08 | 2018-08-09 | Tsinghua University | Video Analysis |
-
2019
- 2019-12-06 CN CN201911241936.2A patent/CN110930474B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130083974A1 (en) * | 2011-09-29 | 2013-04-04 | National Tsing Hua University | Image method for classifying insects and classifying process for insects |
| WO2016145736A1 (en) * | 2015-03-18 | 2016-09-22 | 百度在线网络技术（北京）有限公司 | Method, apparatus and device for presenting thermodynamic chart and non-volatile computer storage medium |
| CN105844681A (en) * | 2016-03-22 | 2016-08-10 | 北京建飞无限科技有限公司 | Thermodynamic diagram drawing method and apparatus |
| WO2018019857A1 (en) * | 2016-07-26 | 2018-02-01 | Demand Side Instruments | Method and device for measuring insect density |
| US20180225518A1 (en) * | 2017-02-08 | 2018-08-09 | Tsinghua University | Video Analysis |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111737396A (en) * | 2020-08-26 | 2020-10-02 | 成都四方伟业软件股份有限公司 | Method and device for improving thermodynamic diagram display performance based on 2D convolution |
| CN112288795A (en) * | 2020-10-29 | 2021-01-29 | 深圳大学 | Insect density calculation method and device based on fast-RCNN |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110930474B (en) | 2023-02-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106846336B (en) | Method and device for extracting foreground image and replacing image background | |
| EP3327668B1 (en) | Image-processing device and method for foreground mask correction for object segmentation | |
| CN110929569B (en) | Face recognition method, device, equipment and storage medium | |
| WO2022062346A1 (en) | Image enhancement method and apparatus, and electronic device | |
| CN111985281B (en) | Image generation model generation method and device and image generation method and device | |
| CN111127303A (en) | Background blurring method and device, terminal equipment and computer readable storage medium | |
| WO2020006899A1 (en) | Method and device for measuring weight of livestock | |
| CN110930474B (en) | Insect density thermodynamic diagram construction method, device and system | |
| CN110166684B (en) | Image processing method, image processing device, computer readable medium and electronic equipment | |
| CN110599554A (en) | Method and device for identifying face skin color, storage medium and electronic device | |
| CN111724317A (en) | Method for constructing Raw domain video denoising supervision data set | |
| CN112669232A (en) | Depth image enhancement processing method and device | |
| CN108335272A (en) | A kind of method and apparatus of shooting picture | |
| CN108875751A (en) | Image processing method and device, the training method of neural network, storage medium | |
| CN115512238A (en) | Method and device for determining damaged area, storage medium and electronic device | |
| CN111445487A (en) | Image segmentation method and device, computer equipment and storage medium | |
| EP3496042A1 (en) | System and method for generating training images | |
| CN116188808B (en) | Image feature extraction method and system, storage medium and electronic device | |
| CN111428732B (en) | YUV image recognition method, system and computer equipment | |
| CN105516735B (en) | Represent frame acquisition methods and device | |
| CN105159663B (en) | The method of adjustment and device of image | |
| CN114723883A (en) | Three-dimensional scene reconstruction method, device, equipment and storage medium | |
| CN109949208B (en) | Internet-based automatic 3D clothing pattern generation system | |
| CN113516157A (en) | Embedded three-dimensional scanning system and three-dimensional scanning device | |
| CN113628133A (en) | Rain and fog removing method and device based on video image |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |