CN2724110Y - Visual quantitative change computer collector - Google Patents
Visual quantitative change computer collector Download PDFInfo
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- CN2724110Y CN2724110Y CN 200420033265 CN200420033265U CN2724110Y CN 2724110 Y CN2724110 Y CN 2724110Y CN 200420033265 CN200420033265 CN 200420033265 CN 200420033265 U CN200420033265 U CN 200420033265U CN 2724110 Y CN2724110 Y CN 2724110Y
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Abstract
The utility model discloses a device which automatically collects varying numerical magnitude of testing and metering a gage reading, a bit shift, a corner, a deformation, a surface feature and a colour value into a computer, obtaining the quantitative change data. The utility model is composed of a collector collecting the moment image of the quantitative change, a microprocessor accepting and collecting image files, an image processing module processing the numerical value image for the image files and a comparative analysis module comparatively analyzing the processed image and the standard image stored up and preset. The utility model adopts the image frequency to transform visible signals into the microprocessor and the image is converted to the numerical magnitude required of the numerical operation through processing of the image processing module and the comparative analysis module. Therefore, the non-additional general sensor can transfer the visible quantitative change into the computer for processing through' mould-number ', ' number-mould' conversion device, obtaining the quantitative change numerical value and the gage reading of collected objects.
Description
Technical field
The utility model belongs to the computer-automatic collection and the industrial control technology field of technical testing, test figure, measuring instrument reading, relates to the device that the test and the quantitative value of variations such as measuring instrument reading (comprising digital display meter), displacement, corner, distortion, configuration of surface and color value collect computing machine automatically and obtain the quantitative change data.
Background technology
Because computing machine can be stored, handle information, so in fields of measurement such as displacement, corner, color value, computing machine obtains application more and more widely.People very need directly import Computer Processing with measurement data such as displacement, corner, color values.In the existing technology, computer acquisition mode commonly used has three classes, the one, change the flexible respective sensor of crossing of displacement, corner, color value equivalent into light or electric signal, pass through " analog to digital conversion " (or specialized equipment) again and be converted to the discernible digital signal of computing machine and import computing machine into; The 2nd, the output voltage signal that has the simulation test instrument now is converted to the discernible digital signal of computing machine through " analog to digital conversion " (or specialized equipment) imports computing machine into; The 3rd, the output interface of digital sensor is converted to the discernible digital signal of computing machine by attachment device imports computing machine into.Above-mentioned acquisition mode cost is higher, and it is more obvious when gathering simultaneously particularly to carry out legacy equipment transformation and many device datas.And increase converter and mean that increasing sum of errors disturbs link.
Summary of the invention
The utility model is intended to overcome existing quantitative change acquisition mode need be to by the acquisition target additional displacement, corner, sensors such as pressure, and need by " mould-number ", " number-mould " conversion equipment links to each other acquisition target with computing machine problem, a kind of popularization commercial product (video collector of utilizing is provided, it is first-class to make a video recording) the instead of dedicated equipment and instrument, with test instrumentation reading (comprising digital display meter), displacement, corner, distortion, the quantitative value of variation such as configuration of surface and color value collects computing machine automatically and obtains the visual quantitative change computer acquisition device of quantitative change data.
For solving the problems of the technologies described above, the utility model adopts following technical scheme:
A kind of visual quantitative change computer acquisition device is characterized in that: the image file that comprise the collector of gathering the quantitative change moment image, connect and receive the microprocessor of the image file that collector collects with collector, microprocessor is received carries out image processing module that numerical imaging handles, the image after image processing module is handled is analyzed with the predefined standard picture of computer stored and get acquisition quantitative change newly the scalar comparative analysis module, the display terminal that is connected with microprocessor of value in the corresponding value of goodness of fit soprano.
Described microprocessor is connected with a storer that stores the image that video collector collects.
Described microprocessor is connected with one and stores the storage medium that contrasts the scalar collection.
Described contrast scalar collection is a standard drawing master drawing image set, be by classification such as digital instrument reading, displacement, corner or distortion, maybe can generate in advance the routine package of above-mentioned standard picture according to the set of the quantitative change standard pictures at different levels of acquisition target customization, each image is corresponding with a concrete numerical parameter or Status Name.
The storage medium of described storage contrast scalar collection is the scalar video memory.
The beneficial effects of the utility model show:
Video (image) collector imports optical signal (comprise micro-amplification, fibre-optical probe or look far into the distance) into computing machine, handles and scalar contrasts view image is converted to the needed numerical quantities of computer numerical computing through the Flame Image Process parsing module.The utility model utilizes popularization commercial product (video camera is first-class), the instead of dedicated equipment and instrument carries out data acquisition, can not be required to be by sensors such as acquisition target additional displacement, corner, pressure, do not need by " mould-number ", " number-mould " conversion equipment acquisition target to be linked to each other with computing machine again, and directly displacement, corner, distortion, configuration of surface and the color form and aspect of acquisition target or the quantitative value of test instrumentation reading visual variations such as (comprising digital display meter) are collected computing machine automatically.
The visual variable quantity that the utility model can change changing in time (can by micro-, as to look far into the distance etc. facility) carries out continuous measurement and collects computing machine; Also can be directly the reading of other numerals or pointer instrument be collected computing machine; Can also demand and look back the process image that whole test is gathered; Along with the large-scale production of video capture device and technical progress cost are can lower precision higher.
Description of drawings
Fig. 1 is the utility model structured flowchart
Fig. 2 is that the embodiment logic diagram is gathered in conventional quantitative change
Fig. 3 gathers the embodiment logic diagram for color value
Embodiment
The scalar compare of analysis module that a kind of visual quantitative change computer acquisition device, the image file that comprises the collector of gathering the quantitative change moment image, is connected and receives the microprocessor of the image file that collector collects or computing machine with collector, microprocessor is received carry out the image processing module of numerical imaging processing, the predefined standard picture of image after the image processing module processing and computer stored is analyzed.
Adopt the utility model to carry out the image acquisition judgement and can be divided into two big classes, the one, the decision analysis of conventional quantitative change, the 2nd, the decision analysis of RGB color value.
The decision analysis of embodiment one, conventional quantitative change
1, Flame Image Process:
A, image acquisition device are passed to microprocessor with the image that collects, and are converted into the black-and-white two color image by image processing module;
Method: the rgb value that 1. obtains each pixel color of image;
2. getting a value is conversion critical value (threshold values), when rgb value just is converted to black greater than threshold values, otherwise is white.
B, by adjusting the conversion threshold values, make the tool identifiability (promptly reducing image impurity, outstanding quantitative change main body) of image;
Method: change threshold values, repetitive process a is till meeting the requirements.The threshold values adjustment can beginning is formal gather before with artificial judge adjust, also available programs rule of thumb data select (a certain area pixel is that counting of black determined in the ratio of always counting) automatically.
[RGB color value terminological interpretation: RGB is the color mode of coloured light, and R represents red, and G represents green, and B represents blue.Because each all has 256 luminance level levels three kinds of colors, so three kinds of colors stacks just can form 1,670 ten thousand kinds of colors (being commonly called as " very coloured silk ").The RGB pattern is because be by superimposed other colors that forms of red, green, blue.Under this color mode, each primary colors will form a color channel (Channel) separately, and the brightness of color is respectively 256 rank on each passage, by 0-255.Again by a synthetic composite channel--the RGB passage of three monochromatic channel group.The color of image each several part determines by the numerical value on three color channels of RGB.When RGB numerical value was 0, this part was a black; When rgb color numerical value was 255, this part was a white.]
2, comparative analysis:
A, microprocessor are chosen contrast scalar collection according to quantitative change grab type (digital instrument reading, displacement, corner or distortion etc.) from the scalar video memory;
Contrast scalar collection---the standard drawing master drawing image set under all kinds quantitative change, press classification such as digital instrument reading, displacement, corner or distortion, maybe can generate in advance the routine package of above-mentioned standard picture according to the set of the quantitative change standard pictures at different levels of acquisition target customization, each image is corresponding with concrete numerical value (parameter) or Status Name.Be stored in database or other storage mediums, be convenient to retrieval and inquisition.
B, the image (calling " collection sample " in the following text) after will handling by the comparative analysis module carry out the degree of conformity probability analysis with the image (calling " standard specimen " in the following text) of contrast scalar collection;
Method: 1. will gather sample respectively and the standard specimen image carries out vectorized process, and be about to the broken line that continuous black image point is converted to width;
2. allow two width of cloth figure carry out overlapping computing, draw and meet probability accordingly.Getting the value that meets concentrated " standard specimen " the pairing parameter of the highest contrast scalar of probability is adopted value, obtains the collection value, finishes collection.
Embodiment two, for the decision analysis of color value
1, Flame Image Process:
A, image acquisition device are passed to microprocessor with the image that collects, and by image processing module acquisition target and standard specimen colour table (colour table that the standard color block of arranging by linear relationship with a determining deviation is formed) to be gathered simultaneously be coloured image;
The mean value of the RGB color value of the pickup area image of b, calculating acquisition target is called " sRGB " in the following text;
2, scalar comparative analysis:
A, by the comparative analysis module, search isochrome zone position coordinate mutually at " standard specimen colour table " image with sRGB;
Method: traversal is taken out the RGB color value of " standard specimen colour table " each color lump, draws the color lump coordinate that equates with sRGB,
B, microprocessor be the corresponding actual RGB color value database of its color lump coordinate during according to customization standard specimen colour table, draws actual RGB color value (finally collection value).
Claims (4)
1, a kind of visual quantitative change computer acquisition device is characterized in that: the image file that comprise the collector of gathering the quantitative change moment image, connect and receive the microprocessor of the image file that collector collects with collector, microprocessor is received carries out image processing module that numerical imaging handles, the image after image processing module is handled is analyzed with the predefined standard picture of computer stored and get acquisition quantitative change newly the scalar comparative analysis module, the display terminal that is connected with microprocessor of value in the corresponding value of goodness of fit soprano.
2, a kind of visual quantitative change computer acquisition device according to claim 1 is characterized in that: described microprocessor is connected with a storer that stores the image that video collector collects.
3, a kind of visual quantitative change computer acquisition device according to claim 1 and 2 is characterized in that: described microprocessor is connected with one and stores the storage medium that contrasts the scalar collection.
4, a kind of visual quantitative change computer acquisition device according to claim 3 is characterized in that: the storage medium of described storage contrast scalar collection is the scalar video memory.
Priority Applications (1)
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CN 200420033265 CN2724110Y (en) | 2004-03-17 | 2004-03-17 | Visual quantitative change computer collector |
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CN 200420033265 CN2724110Y (en) | 2004-03-17 | 2004-03-17 | Visual quantitative change computer collector |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102003945A (en) * | 2010-10-28 | 2011-04-06 | 汪远银 | Virtual optical extensometer and measurement method thereof |
CN104240359A (en) * | 2014-08-20 | 2014-12-24 | 中广核核电运营有限公司 | Reading method and system of non-digitalization transmission instrument in nuclear radiation environment |
CN107038049A (en) * | 2017-04-25 | 2017-08-11 | 航天科技控股集团股份有限公司 | A kind of adaptive download system of automobile instrument aging procedure and method based on graphic correlation pattern |
-
2004
- 2004-03-17 CN CN 200420033265 patent/CN2724110Y/en not_active Expired - Fee Related
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102003945A (en) * | 2010-10-28 | 2011-04-06 | 汪远银 | Virtual optical extensometer and measurement method thereof |
CN102003945B (en) * | 2010-10-28 | 2013-05-22 | 汪远银 | Virtual optical extensometer and measurement method thereof |
CN104240359A (en) * | 2014-08-20 | 2014-12-24 | 中广核核电运营有限公司 | Reading method and system of non-digitalization transmission instrument in nuclear radiation environment |
CN107038049A (en) * | 2017-04-25 | 2017-08-11 | 航天科技控股集团股份有限公司 | A kind of adaptive download system of automobile instrument aging procedure and method based on graphic correlation pattern |
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C14 | Grant of patent or utility model | ||
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C17 | Cessation of patent right | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20050907 |