CN202735235U - Wood identification image analyzing system - Google Patents

Wood identification image analyzing system Download PDF

Info

Publication number
CN202735235U
CN202735235U CN 201220327668 CN201220327668U CN202735235U CN 202735235 U CN202735235 U CN 202735235U CN 201220327668 CN201220327668 CN 201220327668 CN 201220327668 U CN201220327668 U CN 201220327668U CN 202735235 U CN202735235 U CN 202735235U
Authority
CN
China
Prior art keywords
identification image
image analysis
analysis system
information
wood identification
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.)
Expired - Lifetime
Application number
CN 201220327668
Other languages
Chinese (zh)
Inventor
孙书冬
李继光
甘雪菲
王文峰
霍丽平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
National Center For Quality Supervision & Inspection Of Furniture And Indoor Environment
BEIJING PRODUCT QUALITY SUPERVISION AND TESTING INSTITUTE
Original Assignee
National Center For Quality Supervision & Inspection Of Furniture And Indoor Environment
BEIJING PRODUCT QUALITY SUPERVISION AND TESTING INSTITUTE
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by National Center For Quality Supervision & Inspection Of Furniture And Indoor Environment, BEIJING PRODUCT QUALITY SUPERVISION AND TESTING INSTITUTE filed Critical National Center For Quality Supervision & Inspection Of Furniture And Indoor Environment
Priority to CN 201220327668 priority Critical patent/CN202735235U/en
Application granted granted Critical
Publication of CN202735235U publication Critical patent/CN202735235U/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Images

Landscapes

  • Image Analysis (AREA)

Abstract

The utility model discloses a wood identification image analyzing system. The wood identification image analyzing system comprises a microscope device, an information input device, an image obtaining device and a computer system, wherein the microscope device is used to observe images of a to-be-detected tree species and comprises at least one microscope, the information input device is used to input the second kind of information of the to-be-detected tree species, the image obtaining device is used to obtain the images of the tree species observed through the microscope device, the computer system is used to compare feature information of the images of the to-be-detected tree species and the second kind of information of the to-be-detected tree species with feature information of a proximate tree species which is searched out from a standard tree species database, and the computer system is also used to obtain a comparison result. The output end of the at least one microscope in the microscope device is connected with the input end of the image obtaining device, and the output end of the information input device and the output end of the image obtaining device are both connected with the input end of the computer system. According to the wood identification image analyzing system, the images and other information are combined for comprehensive comparison, a computer is used for automatic inquiry, the inquiry is fast, the comparison result can be more accurate, and therefore more accurate tree species information can be obtained.

Description

The wood identification image analysis system
Technical field
The utility model relates to a kind of analytic system, especially a kind of wood identification image analysis system.
Background technology
Treat at present the assize kind and confirm it all is the information of artificial observed and recorded seeds to be measured, then compare the form made of paper in standard seeds storehouse and search one by one checking, this mode is time and effort consuming not only, and artificial various subjective factors probably omit or compare wrong information, cause the inaccurate of comparison result.
In view of this, special the utility model that proposes.
The utility model content
The technical problems to be solved in the utility model is to overcome the deficiencies in the prior art, and a kind of wood identification image analysis system is provided, and this analytic system relies on computer automatically enquiring, and inquiry is fast, and comparative result can be more accurate, thereby can obtain more accurately seeds information.
For solving the problems of the technologies described above, the utility model adopts the basic conception of technical scheme to be:
A kind of wood identification image analysis system comprises the message input device that has the microscopical microscopie unit of at least one observation species map picture to be measured comprising of observation species map picture to be measured, be used for inputting seeds Equations of The Second Kind information to be measured, is used for obtaining by the image acquiring device of the species map picture of above-mentioned microscopie unit observation and is used for the characteristic information of species map picture to be measured and seeds Equations of The Second Kind information to be measured and standard seeds storehouse are searched out the computer system that immediate seeds characteristic information compared and obtained comparative result;
At least one microscopical output terminal in the microscopie unit connects the input end of image acquiring device, and the output terminal of message input device and image acquiring device all connects the input end of described computer system.
Preferably, described microscopie unit comprise be used to the stereomicroscope that obtains seeds grand design to be measured and be used for obtaining the horizontal stroke of seeds to be measured, directly, the biological microscope of string three tangent plane micro images.
Preferably, described computer system is connected with terminal device.
Preferably, described terminal device is printer or display or display screen.
Preferably, comprise encryption device, this encryption device connects described computer system.
Preferably, described image acquiring device specifically comprises camera interface and video camera, and camera interface and video camera are twisted and connect, and are installed in together the microscopical three order joint chair places of microscopie unit.
Preferably, described camera standard is pal mode.
Preferably, described message input device is keyboard.
After adopting technique scheme, the utility model compared with prior art has following beneficial effect:
This analytic system combining image and other information much information Comprehensive Correlations rely on computer automatically enquiring, and inquiry is fast, and comparative result can be more accurate, thereby can obtain more accurately seeds information.
Below in conjunction with accompanying drawing embodiment of the present utility model is described in further detail.
Description of drawings
Fig. 1 is structured flowchart of the present utility model;
Fig. 2 is the structural drawing that the utility model adopts device.
Embodiment
As shown in Figure 1, the utility model is a kind of wood identification image analysis system, comprises microscopical microscopie unit 1, the message input device 2 that is used for inputting seeds Equations of The Second Kind information to be measured with at least one observation species map picture to be measured, is used for obtaining by the image acquiring device 3 of the species map picture of above-mentioned microscopie unit 1 observation and is used for the characteristic information of species map picture to be measured and seeds Equations of The Second Kind information to be measured and standard seeds storehouse are searched out the computer system 4 that immediate seeds characteristic information compared and obtained comparative result;
At least one microscopical output terminal in the microscopie unit 1 connects the input end of image acquiring device, and the output terminal of message input device and image acquiring device all connects the input end of described computer system.
By microscopie unit 1 observation seeds to be measured and obtain this image by image acquiring device 3 and compare searching out immediate seeds characteristic information in this Characteristic of Image information and seeds Equations of The Second Kind information to be measured and the standard seeds storehouse, and the acquisition comparative result.By this system can be very fast the information such as kind of acquisition seeds to be measured, thereby determine its scope of application and using value etc.
This analytic system combining image and other information much information Comprehensive Correlations rely on computer automatically enquiring, and inquiry is fast, and comparative result can be more accurate, thereby can obtain more accurately seeds information.
Preferably, described microscopie unit 1 comprise be used to the stereomicroscope that obtains seeds grand design to be measured and be used for obtaining the horizontal stroke of seeds to be measured, directly, the biological microscope of string three tangent plane micro images.Obtain simultaneously grand design such as the color of seeds to be measured, and micro image such as density, growth ring, test-tube baby, parenchymal tissue, wood radiaftive rays, cross(ed) field pit physical features, comprehensively comparing based on much information, the seeds information that draws is more accurate.
Preferably, described computer system 4 is connected with terminal device.Be convenient to compared result and carry out corresponding operating.When terminal device was printer as described, printable comparative result during for display or display screen, can show comparative result.
Preferably, also can comprise encryption device, this encryption device connects described computer system.Make computer system security higher.
Fig. 2 has illustrated the structural drawing of a kind of device that the utility model adopts, can be found out by this figure, described image acquiring device 3 specifically comprises camera interface 5 and video camera 6, camera interface 5 is twisted with video camera 6 and is connect, and is installed in together any one in the microscope 7(microscopie unit) three order joint chairs, 8 places.Video camera is more commonly used, can conveniently buy on the market, and relative other image acquiring device low prices, cost is low.
Preferably, described video camera 6 machine-processed formulas are pal mode.
Preferably, described message input device is keyboard, can input the information such as seeds title to be measured and the place of production, inputs the true and accuracy of these information seeds check also can corresponding increase to be measured.
The wood identification image analysis system can comprise 84 kinds of timber query characteristics, comprises macrofeature, microscopic feature, color, density, the place of production of timber etc.Certainly, do not limit to 84 kinds yet.
Standard seeds database can comprise softwood and broadleaf amounts to 217 kinds of variety classes timber images, and the timber image comprises timber grand design, microcosmic three tangent plane pictures.Certainly, do not limit to 217 kinds yet.
The above only is preferred implementation of the present utility model; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the utility model principle; can also make some improvements and modifications, these improvements and modifications also should be considered as protection domain of the present utility model.

Claims (8)

1. a wood identification image analysis system is characterized in that: comprise microscopical microscopie unit, the message input device that is used for inputting seeds Equations of The Second Kind information to be measured with at least one observation species map picture to be measured, image acquiring device and the computer system that is used for obtaining the species map picture of being observed by above-mentioned microscopie unit;
At least one microscopical output terminal in the microscopie unit connects the input end of image acquiring device, and the output terminal of message input device and image acquiring device all connects the input end of described computer system.
2. wood identification image analysis system according to claim 1 is characterized in that: described microscopie unit comprise be used to the stereomicroscope that obtains seeds grand design to be measured and be used for obtaining the horizontal stroke of seeds to be measured, directly, the biological microscope of string three tangent plane micro images.
3. wood identification image analysis system according to claim 1, it is characterized in that: described computer system is connected with terminal device.
4. wood identification image analysis system according to claim 3, it is characterized in that: described terminal device is printer or display or display screen.
5. wood identification image analysis system according to claim 1, it is characterized in that: comprise encryption device, this encryption device connects described computer system.
6. wood identification image analysis system according to claim 1, it is characterized in that: described image acquiring device specifically comprises camera interface and video camera, camera interface and video camera are twisted and are connect, and are installed in together the microscopical three order joint chair places of microscopie unit.
7. wood identification image analysis system according to claim 6, it is characterized in that: described camera standard is pal mode.
8. wood identification image analysis system according to claim 1, it is characterized in that: described message input device is keyboard.
CN 201220327668 2012-07-06 2012-07-06 Wood identification image analyzing system Expired - Lifetime CN202735235U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201220327668 CN202735235U (en) 2012-07-06 2012-07-06 Wood identification image analyzing system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201220327668 CN202735235U (en) 2012-07-06 2012-07-06 Wood identification image analyzing system

Publications (1)

Publication Number Publication Date
CN202735235U true CN202735235U (en) 2013-02-13

Family

ID=47660921

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201220327668 Expired - Lifetime CN202735235U (en) 2012-07-06 2012-07-06 Wood identification image analyzing system

Country Status (1)

Country Link
CN (1) CN202735235U (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103674958A (en) * 2013-12-24 2014-03-26 广西建林博物馆 Lossless furniture identification method
CN112149630A (en) * 2020-10-20 2020-12-29 云南省林业和草原科学院 Wood microscopic identification system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103674958A (en) * 2013-12-24 2014-03-26 广西建林博物馆 Lossless furniture identification method
CN112149630A (en) * 2020-10-20 2020-12-29 云南省林业和草原科学院 Wood microscopic identification system

Similar Documents

Publication Publication Date Title
CN1806501B (en) Marine phytoplankton automatic distinguishing method and apparatus
CN104123370A (en) Method and system for detecting sensitive information in database
US20150169525A1 (en) Augmented reality image annotation
US9606975B2 (en) Apparatus and method for automatically generating visual annotation based on visual language
CN105486684A (en) Non-destructive testing method for mahogany furniture wood varieties based on network platform
RU2010128943A (en) METHOD FOR DATA EXTRACTION FROM MEDICAL IMAGES DATA SET
EP2698727A3 (en) Terminal and method for determining type of input method editor
Wu et al. Description of wear debris from on-line ferrograph images by their statistical color
US10885103B2 (en) Cell image search apparatus, method, and program
CN104089580A (en) Concrete surface crack width measuring instrument and method based on smart phone
CN106228157A (en) Coloured image word paragraph segmentation based on image recognition technology and recognition methods
Luck et al. Exploring the variability of tropical savanna tree structural allometry with terrestrial laser scanning
CN104268181B (en) The quick check method of sea life enquiry data and device
CN102882716A (en) Ministry of industry and information technology recording detecting method and system
CN202735235U (en) Wood identification image analyzing system
CN105606610A (en) Bio-speckle technology based method for nondestructive detection of apple internal quality
CN106844337A (en) A kind of contract lacks clause automatic scanning method and system
JP2006215659A5 (en)
CN102103537A (en) Method and device for finding compatibility problem among safety software
CN201653911U (en) Medical print visual detection device
CN108369647B (en) Image-based quality control
CN106770308A (en) A kind of streamline quality inspection system
CN205080576U (en) Drinks each item index check out test set with two -dimensional code
CN110879784B (en) Radar test data processing device and method thereof
Zhou et al. Method of tree-ring image analysis for dendrochronology

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
CX01 Expiry of patent term
CX01 Expiry of patent term

Granted publication date: 20130213