CN204202563U - Fish morphological parameters self-operated measuring unit - Google Patents
Fish morphological parameters self-operated measuring unit Download PDFInfo
- Publication number
- CN204202563U CN204202563U CN201420753801.0U CN201420753801U CN204202563U CN 204202563 U CN204202563 U CN 204202563U CN 201420753801 U CN201420753801 U CN 201420753801U CN 204202563 U CN204202563 U CN 204202563U
- Authority
- CN
- China
- Prior art keywords
- fish
- module
- size
- measuring unit
- morphological parameters
- 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 - Fee Related
Links
Landscapes
- Length Measuring Devices By Optical Means (AREA)
Abstract
The utility model relates to aquatic products index measurement technical field, particularly relate to a kind of fish morphological parameters self-operated measuring unit, it comprises computing machine, chassis body (1), be inclined at the live fish diversion trench (2) in chassis body (1) and be arranged on live fish diversion trench (2) lower end for taking the camera head of fish volume image, and described live fish diversion trench (2) bottom is transparent platform (3), described camera head comprises the support (4) be arranged in chassis body (1) and the industrial camera (5) be slidably connected with support (4), described industrial camera (5) is connected with Computer signal.Adopt this device can realize fast, can't harm collection fish morphological parameters.
Description
Technical field
The utility model relates to aquatic products index measurement technical field, particularly relates to a kind of fish morphological parameters self-operated measuring unit.
Background technology
In ichthyology research, the physical characteristic parameter of fish is fishery resources survey, fry breeds, the fundamental parameter of parent population seed selection.Present stage, generally artificial by measuring with ruler, tape measure etc. to the collection of these characteristic parameters, above-mentioned measuring method has following shortcoming: 1, morphological index needs the data of measurement a lot, the record of hand dipping, data often needs two people to carry out coordinating and just can complete, not only waste of manpower and the time, and work efficiency is low, has been difficult to extensive sample data collection, and the lasting duplication of labour easily increases personal error; 2, because hand dipping is consuming time long, and dried up measurement is needed, so often cause fish dead, or major injury, as scale comes off, fin is damaged; 3, in addition, collected by hand directly cannot realize excavation for some characteristic and measurement, such as head curvature, back curvature etc.
Utility model content
Technical problem to be solved in the utility model is: provide a kind of fish morphological parameters self-operated measuring unit, adopts this device can realize fast, can't harm collection fish morphological parameters.
The technical scheme that the utility model adopts is: a kind of fish morphological parameters self-operated measuring unit, it comprises computing machine, chassis body, be inclined at the live fish diversion trench in chassis body and be arranged on live fish diversion trench lower end for taking the camera head of fish volume image, and be transparent platform bottom described live fish diversion trench, described camera head comprises the support be arranged in chassis body and the industrial camera be connected with bracket slide, described industrial camera is connected with Computer signal, described computing machine comprises the parameter setting module that signal successively connects, demarcating module, image capture module, the automatic extraction module of fish body size and fish body size manual measurement module, wherein,
Described parameter setting module is for setting industrial camera equipment acquisition parameter;
Described demarcating module is used for obtaining picture size and standard-sized demarcation ratio;
Described image capture module is used for automatically gathering fish volume image;
The automatic extraction module of described fish body size is used for automatically calculating fish body total length and overall with size;
Described fish body size manual measurement module is for calculating the straight-line dimension between manual selected fish body arbitrary characteristics point.
Described chassis body top is also provided with the background board as shooting background, and described chassis body both sides are also provided with the illuminating lamp for throwing light on.
Adopt above structure compared with prior art, the utility model has the following advantages: adopt this device can realize convenient, automatic, quick, the nondestructive measurement of fish body generally; Compared with manual measurement, the utility model utilizes live fish to carry out image acquisition quickly through during transparent platform together with water, and automatic measuring scale cun, damage can not be produced to tested live fish, be applicable to live fish large sample amount and detect.Industrial camera is arranged on transparent platform bottom, makes to keep fixed range between industrial camera camera lens and measured object, like this when carrying out physical size and calculating, the error of calculation that can not produce because the thickness of different fish body is different; Be provided with illuminating lamp, and be provided with background board, make to gather image effect better, so just can improve fish body contours extract treatment effect; The hardware platform of device can realize convenient dismounting, is convenient to replace carrying out rapid field measurement by hand to cultivation site assembling.
Accompanying drawing explanation
Fig. 1 is the structural representation of the utility model fish morphological parameters self-operated measuring unit.
Fig. 2 is the model calling block diagram of the computing machine in the utility model fish morphological parameters self-operated measuring unit.
As shown in the figure: 1, main body frame; 2, live fish diversion trench; 3, transparent platform; 4, support; 5, industrial camera; 6, background board; 7, illuminating lamp.
Embodiment
Below in conjunction with accompanying drawing and embodiment, the utility model is described further, but the utility model is not limited only to following embodiment.
A kind of fish morphological parameters self-operated measuring unit, it comprises computing machine, chassis body 1, be inclined at the live fish diversion trench 2 in chassis body 1 and be arranged on live fish diversion trench 2 lower end for taking the camera head of fish volume image, and be transparent platform 3 bottom described live fish diversion trench 2, described camera head comprises the support 4 be arranged in chassis body 1 and the industrial camera 5 be slidably connected with support 4, described industrial camera 5 is connected with Computer signal, described computing machine comprises the parameter setting module that signal successively connects, demarcating module, image capture module, the automatic extraction module of fish body size and fish body size manual measurement module, wherein,
Described parameter setting module is for setting industrial camera equipment acquisition parameter;
Described demarcating module is used for obtaining picture size and standard-sized demarcation ratio;
Described image capture module is used for automatically gathering fish volume image;
The automatic extraction module of described fish body size is used for automatically calculating fish body total length and overall with size;
Described fish body size manual measurement module is for calculating the straight-line dimension between manual selected fish body arbitrary characteristics point.
Described chassis body 1 top is also provided with the background board 6 as shooting background, and described chassis body 1 both sides are also provided with the illuminating lamp 7 for throwing light on.
Be illustrated in figure 1 the structural representation of the utility model fish morphological parameters self-operated measuring unit, for large yellow croaker, its course of work is as follows: the adjustment position of industrial camera 5 on support 4 and the focal length of industrial camera 5, the coboundary of industrial camera 5 camera lens and transparent platform 3 is made to remain on a surface level, and make transparent platform 3 medium line be in the centre of industrial camera 5 image, simultaneously according to the brightness of current light Environmental adjustments illuminating lamp 7, provide stable illumination condition for measuring; Parameter setting module setting industrial camera image acquisition parameter in computing machine, demarcating module in computing machine calculates demarcates ratio value, the live fish diversion trench 2 that a tested large yellow croaker is poured into together with water, when fish body slips over the medium line of transparent platform 3 li from high to low, image capture module in computing machine automatically triggers industrial camera 5 and gathers a frame fish volume image, and then the fish volume image collected is transferred to computing machine by industrial camera 5; The automatic extraction module of fish body size in computing machine calculates fish body total length and overall with size automatically according to fish volumetric image data, fish body size manual measurement module in addition in computing machine 9 also according to the manual selected fish volume image unique point of user, can calculate the straight-line dimension between fish body characteristics point automatically; Be provided with one block of plain white background plate 5 above transparent platform 3, the sharpness gathering image can be improved like this.
Be illustrated in figure 2 the model calling block diagram in the computing machine in the utility model fish morphological parameters self-operated measuring unit, utilize the modules in computing machine to realize the detailed process of fish volume morphing parameter auto-testing as follows:
1, first by
parameter setting module, the maximum frame per second of industrial camera, resolution, Exposure mode parameter are set, make image acquisition best results;
2, then a standard gauge block (squares of 50 millimeters * 50 millimeters) is positioned on the transparent platform 3 of live fish diversion trench 2, under the prerequisite not changing industrial camera equipment acquisition parameter, utilizes
demarcating modulecalculate demarcation ratio K=L/L
0, be saved in computing machine, wherein L is the computer picture size of this gauge block length of side, represents, L with the pixel number in image
0for the standard size (physical size: 50 millimeters) of this gauge block length of side.In follow-up measurement, utilize measured object computer picture size/K, can physical size be obtained.
3,
image capture modulehUE histogram of component under utilizing calculating industrial camera to gather video image HSV space, the probability distribution of fish body object pixel is obtained by Histogram backprojection, then by calling Camshift algorithm, center and the size of fish body target in video image is adjusted from motion tracking, when the center position coordinates that industrial camera gathers fish body target in sequence of video images is on the medium line of live fish diversion trench transparent platform, automatic triggering industrial camera gathers a two field picture, and image is transferred to computing machine preservation by data cable.
4, then
the automatic extraction module of fish body sizecanny edge detection algorithm is adopted to extract the profile information gathering fish body in image, and then the minimum enclosed rectangle of a fish body profile is constructed according to the profile information extracted, automatic measurement obtains the length of minimum enclosed rectangle and wide picture size, again according to long and wide picture size/demarcation ratio (K), calculate total length and the overall with size of actual fish body, saving result.
Then can pour an other large yellow croaker in live fish diversion trench, then repeat 3-4 process, carry out fish body total length, overall with size automatic measuring.
5, for other morphological parameters of fish body, can in step (3)
gather image modulemanual demarcation fish body characteristics point in the image collected,
fish body size manual measurement modulepicture size between extract minutiae, then according to the picture size between unique point/demarcation ratio (K), calculate physical size between fish body characteristics point.
The utility model has universal to fish dimensional measurement, but because fish species is a lot, therefore, the utility model only lifts the embodiment of a large yellow croaker dimensional measurement, other fish dimensional measurement can be carried out with reference to the method for this embodiment, specifically for the fish of different form-factor, only needs to adjust the distance between industrial camera and transparent platform and industrial camera lens focus, demarcation ratio, just can carry out dimensional measurement to the fish of New raxa.
The above is only embodiment of the present utility model; should be understood that; for those skilled in the art; under the prerequisite not departing from the utility model know-why; can also make some improvement and modification, these improve and modification also should be considered as protection domain of the present utility model.
Claims (3)
1. a fish morphological parameters self-operated measuring unit, it is characterized in that: it comprises computing machine, chassis body (1), is inclined at the live fish diversion trench (2) in chassis body (1) and is arranged on live fish diversion trench (2) lower end for taking the camera head of fish volume image, and described live fish diversion trench (2) bottom is transparent platform (3), described camera head comprises the support (4) be arranged in chassis body (1) and the industrial camera (5) be slidably connected with support (4), and described industrial camera (5) is connected with Computer signal.
2. fish morphological parameters self-operated measuring unit according to claim 1, it is characterized in that: described computing machine comprises parameter setting module, demarcating module, image capture module, the automatic extraction module of fish body size and the fish body size manual measurement module that signal successively connects, wherein
Described parameter setting module is for setting industrial camera equipment acquisition parameter;
Described demarcating module is used for obtaining picture size and standard-sized demarcation ratio;
Described image capture module is used for automatically gathering fish volume image;
The automatic extraction module of described fish body size is used for automatically calculating fish body total length and overall with size;
Described fish body size manual measurement module is for calculating the straight-line dimension between manual selected fish body arbitrary characteristics point.
3. fish morphological parameters self-operated measuring unit according to claim 1, it is characterized in that: described chassis body (1) top is also provided with the background board (6) as shooting background, described chassis body (1) both sides are also provided with the illuminating lamp (7) for throwing light on.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201420753801.0U CN204202563U (en) | 2014-12-05 | 2014-12-05 | Fish morphological parameters self-operated measuring unit |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201420753801.0U CN204202563U (en) | 2014-12-05 | 2014-12-05 | Fish morphological parameters self-operated measuring unit |
Publications (1)
Publication Number | Publication Date |
---|---|
CN204202563U true CN204202563U (en) | 2015-03-11 |
Family
ID=52660510
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201420753801.0U Expired - Fee Related CN204202563U (en) | 2014-12-05 | 2014-12-05 | Fish morphological parameters self-operated measuring unit |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN204202563U (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104482860A (en) * | 2014-12-05 | 2015-04-01 | 浙江大学宁波理工学院 | Automatic measuring device and method for fish type morphological parameters |
CN105554415A (en) * | 2016-02-03 | 2016-05-04 | 中国农业科学院北京畜牧兽医研究所 | Xinjiang brown cattle body size index measurement system |
CN107506801A (en) * | 2017-09-30 | 2017-12-22 | 河南省水产科学研究院 | A kind of fish character measurement apparatus and method |
CN111735833A (en) * | 2020-06-24 | 2020-10-02 | 武汉古奥基因科技有限公司 | Fish phenotype automatic acquisition device and method |
CN112042573A (en) * | 2020-09-21 | 2020-12-08 | 四川润兆渔业有限公司 | Sturgeon breeding method |
-
2014
- 2014-12-05 CN CN201420753801.0U patent/CN204202563U/en not_active Expired - Fee Related
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104482860A (en) * | 2014-12-05 | 2015-04-01 | 浙江大学宁波理工学院 | Automatic measuring device and method for fish type morphological parameters |
CN104482860B (en) * | 2014-12-05 | 2017-10-31 | 浙江大学宁波理工学院 | Fish morphological parameters self-operated measuring unit and method |
CN105554415A (en) * | 2016-02-03 | 2016-05-04 | 中国农业科学院北京畜牧兽医研究所 | Xinjiang brown cattle body size index measurement system |
CN107506801A (en) * | 2017-09-30 | 2017-12-22 | 河南省水产科学研究院 | A kind of fish character measurement apparatus and method |
CN111735833A (en) * | 2020-06-24 | 2020-10-02 | 武汉古奥基因科技有限公司 | Fish phenotype automatic acquisition device and method |
CN111735833B (en) * | 2020-06-24 | 2023-03-14 | 武汉古奥基因科技有限公司 | Fish phenotype automatic acquisition device and method |
CN112042573A (en) * | 2020-09-21 | 2020-12-08 | 四川润兆渔业有限公司 | Sturgeon breeding method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104482860B (en) | Fish morphological parameters self-operated measuring unit and method | |
CN204202563U (en) | Fish morphological parameters self-operated measuring unit | |
US11612148B2 (en) | Estimating fish size, population density, species distribution and biomass | |
Yu et al. | Segmentation and measurement scheme for fish morphological features based on Mask R-CNN | |
CN111855664A (en) | Adjustable three-dimensional tunnel defect detection system | |
CN109636779B (en) | Method, apparatus and storage medium for recognizing integrated ruler of poultry body | |
US20210012516A1 (en) | Depth Image Processing Method and Apparatus, and Electronic Device | |
CN103630091B (en) | Leaf area measurement method based on laser and image processing techniques | |
CN107631782B (en) | Water level detection method based on Harris angular point detection | |
CN102854148A (en) | Detection and grading system for tenderness of fresh beef based on multispectral imagery | |
CN110132989A (en) | A kind of distress in concrete detection device, method and terminal system | |
CN103808265B (en) | Method, device and system for measuring oilseed rape laminae and forms of sclerotium scabs synchronously | |
CN105651776A (en) | Device and method for automatically grading beef carcass meat yield based on computer vision | |
CN109191520A (en) | A kind of Measurement Approach of Leaf Area and system based on color calibration | |
CN106709903B (en) | PM2.5 concentration prediction method based on image quality | |
Li et al. | Estimation of pig weight by machine vision: A review | |
CN204039886U (en) | A kind of pavement damage crack detection system based on multiple stage camera stereoscopic shooting | |
CN110220845A (en) | The in-situ monitoring method and device of a kind of raw algae growth band | |
CN109886170A (en) | A kind of identification of oncomelania intelligent measurement and statistical system | |
CN112417378A (en) | Eriocheir sinensis quality estimation method based on unmanned aerial vehicle image processing | |
CN104089607A (en) | Normal case photography forest metrology method through common digital camera | |
Pforte et al. | Comparison of two different measurement techniques for automated determination of plum tree canopy cover | |
CN107220972B (en) | A kind of quality of poultry eggs discrimination method based on infrared image | |
Cao et al. | Research on counting algorithm of residual feeds in aquaculture based on machine vision | |
CN102542276A (en) | Method for rapidly extracting forest canopy density by applying Photoshop and Matlab |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150311 Termination date: 20151205 |
|
EXPY | Termination of patent right or utility model |