CN202630915U - FPGA+DSP-based embedded system for rapidly measuring pulp fiber morphological parameters - Google Patents
FPGA+DSP-based embedded system for rapidly measuring pulp fiber morphological parameters Download PDFInfo
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- CN202630915U CN202630915U CN 201220214188 CN201220214188U CN202630915U CN 202630915 U CN202630915 U CN 202630915U CN 201220214188 CN201220214188 CN 201220214188 CN 201220214188 U CN201220214188 U CN 201220214188U CN 202630915 U CN202630915 U CN 202630915U
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Abstract
The utility model relates to a small-sized, rapid and accurate FPGA+DSP-based embedded system for rapidly measuring pulp fiber morphological parameters. The system comprises a CCD camera which is connected with an ADC conversion chip; the ADC conversion chip is connected with an SDRAM module in an FPGA module; the SDRAM module is connected with a fiber image preprocessing module; the FPGA module is further provided with a DSP data reading control module and an ADC sequential control module, wherein the ADC sequential control module is connected with the ADC conversion chip, the DSP data reading control module is communicated with a DSP module, and the DSP module is further communicated with the SDRAM module, an LCD display and a fiber image and morphological parameter storage FLASH module. The system provided by the utility model can be used for accurately measuring multiple morphological parameters of pulp fiber in real time and has the characteristics of high automation degree, low cost, small size and the like.
Description
Technical field
The utility model relates to a kind of quick measuring system of embedded paper pulp fiber morphological parameters based on FPGA+DSP; Realize that paper pulp fiber morphological parameters (length, width, crimp index, kink index, fiber fines become to grade) in real time, measure exactly, can be widely used in raw material of papermaking fiber quality analysis and evaluation.
Background technology
The paper pulp fiber morphological feature is to estimate the important indicator of papermaking plant fiber material and pulp quality, and they not only have influence on pulp quality, also are related to the quality of finished paper.The fast and accurate measurement of paper pulp fiber morphological parameters can improve into the class of paper on each operation quality being detected control in the pulping and papermaking processes, reaches the scientific utilization raw material, optimizes the purpose of product.The traditional measurement method of paper pulp fiber morphological parameters mainly is that manual work is carried out through microscope or optical projector, perhaps measures paper pulp fiber length roughly through sifter.Because the fibre morphology parameter is some statistical parameters, have only the paper pulp fiber of quite a lot of quantity measured after, just can obtain result more accurately, shortcoming such as therefore traditional method measuring speed is slow, and the cycle is long.
General image collection processing system adopts PC as core processing unit; Because Flame Image Process needs great amount of time and internal memory; Also there are the high performance workstation of use and minicomputer to accomplish this work; The former real-time of tectonic system is bad, system cost height, the system complex, bulky of latter's structure, and incompatible the test with industry spot used.
Morphological parameters (parameters such as length, width, crimp index, kink index, fine particle degree) in order to realize quick and precisely measuring paper pulp fiber needs the rapid and reliable system that the paper pulp fiber image is gathered and handled and analyzes.Realize that high-precision Flame Image Process needs a large amount of calculating, and a large amount of calculating must expend time in, and causes the system real time variation, this is the principal element of restriction based on the NI Vision Builder for Automated Inspection of PC.Along with to the speed of fibre morphology parameter measurement and the raising of accuracy requirement, this defective is more and more obvious.
The utility model content
The utility model purpose is to overcome that the measurement range that existing paper pulp fiber morphological parameters exists in measuring is little, measurement parameter is few, speed is slow, precision is low; Deficiencies such as equipment cost is high, volume is big have proposed a kind of miniaturization, fast and accurately based on the quick measuring system of embedded paper pulp fiber morphological parameters of FPGA+DSP.
To achieve these goals, the technical solution of the utility model is following:
A kind of quick measuring system of embedded paper pulp fiber morphological parameters based on FPGA+DSP; It comprises ccd video camera; It is connected with the ADC conversion chip, and the ADC conversion chip is connected with SDRAM module in the FPGA module, and the SDRAM module is connected with the fibre image pre-processing module; In the FPGA module, also be provided with simultaneously DSP reading of data control module and ADC time-sequence control module; The ADC time-sequence control module is connected with the ADC conversion chip, DSP reading of data control module and DSP module communication, and simultaneously the DSP module is also stored the FLASH module communication with SDRAM module and LCD display and fibre image, morphological parameters.
A kind of measuring method that adopts based on the quick measuring system of embedded paper pulp fiber morphological parameters of FPGA+DSP, concrete steps are:
(1) paper pulp fiber sample preparation, circularly polarized light is adopted in illumination;
(2) utilize the ccd image acquisition module to realize the perception of fibre image;
(3) utilize the ADC conversion chip, link to each other with the FPGA module, be used for the analog picture signal of CCD output carry out fast digitalization, convert digital picture into the ccd image acquisition module;
(4) FPGA module; Link to each other with the DSP module with the ADC conversion chip, be used to control the sequential logic of ADC conversion chip, control frame is deposited the SDRAM module simultaneously; Fast digitalization, the frame of accomplishing fibre image deposited, pre-service, and pre-service finishes and sends look-at-me notice DSP module reading of data; The fibre image pre-service comprise image denoising, strengthen, cut apart, remove non-zone of fiber;
(5) DSP module; Link to each other with LCD display with the FPGA module; Be used for reading and handling of the fibre image data start-up control image and that collect; The pretreated fibre image of fibre image pre-processing module in the FPGA module is carried out multiple dimensioned processing, under coarse resolution, measure physical length L, projected length l, the crimp index C of fiber
l, the width d of calculating fiber, rugosity Co, kink index K under high resolving power
l, the fiber fines composition parameter, the fiber form parameter is calculated in classification, simultaneously the plurality of fibers parameter of measuring is carried out statistical study, then the result is shown through LCD;
(6) the fibre image data that generate are stored.
Circularly polarized light in the said step (1), because the vegetable fibre that cellulose is formed has optical activity, 2 circular analyzers of configuration on the ccd video camera light path.If the angle of rotation of vegetable fibre to be measured is φ, the angle of 2 circular polarisers polarization axles that dispose on the light path is in ° scope of φ ± 5.
The DSP module is used for the pretreated fibre image of FPGA is carried out multi-scale geometric analysis in the said step (5), and the fiber form parameter is calculated in classification; Be under the thick yardstick, image to be carried out refinement under low resolution, calculate the length and the crimp index of fiber; Be under the thin yardstick, image carried out rim detection, utilize on the marginal point detection of twisting together of curved transition speed that the fast-changing point of curvature is exactly to twist together a little under high resolving power; The kink angle of calculating kink point place according to the difference in change of kink point place neighborhood slope then; Utilize formula (2) to calculate kink index C at last
lWherein, crimp index refers to that the continuous gradually bending of fiber is that curved transition is slow, sees formula:
The fiber crimp index increases, and become tensile strength, bursting strength, the ring crush intensity of paper to descend, and the air permeability of paper, bulk, filter velocity and light-scattering coefficient increases;
Kink is meant that the stiff turnover that produces owing to the fiber finer cell wall is impaired is the fast change of fiber curvature; The high fiber of kink degree can receive bigger weakening aspect the tensile strength of paper, the tear strength properties; The weighted sum that the interior kink of angular region number is respectively twisted together in the kink index definition, see formula:
N wherein
xBe the kink number in the scope of kink angle " x ", L
TotalBe total fibre length.
The principle of the utility model: send the CCD camera control signal by FPGA; Various parameters such as time shutter, picture size and form to camera are provided with; The fibre image that ccd video camera is taken links to each other with the ADC conversion chip; Be used for picture signal is converted into digital signal, accomplish the collection of fibre image.After gather finishing the view data that collects sent into the hardware system of FPGA+DSP; Concrete workflow is: under the control of frame synchronizing signal; View data is carried out filtering, enhancement process and Threshold Segmentation through being arranged in the image pre-processing module of FPGA to image.The pretreated image pixel data of FPGA is deposited into frame successively and deposits among the SDRAM and to the valid pixel clock and count; When count value approaches the piece image size; Send an interruption pulse and give DSP, DSP carries out read operation to dual port RAM after receiving this interruption pulse, reads entire image.DSP adopts the mode of interrupting, and pretreated image is read through the mode of EMIFA mouth with EDMA, and LCD shows and deposits in to be convenient in the FLASH check in the future.Between FPGA and the DSP handshake is arranged, send signal by FPGA, notice DSP deposits reading of data the SDRAM from the frame of FPGA, does corresponding algorithm process then, under different scale, calculates the various morphological parameters of fiber, has both accelerated speed, has also guaranteed degree of accuracy.
The utility model compare with existing paper pulp fiber morphological parameters measuring technique have highly-parallel, data throughout reaches advantages such as real-time height, precision is high, measurement parameter is many greatly, and is specific as follows:
(1) the utility model adopts fpga chip to realize the pre-service of ADC controlling of sampling and fibre image; Can save the working time of DSP; Improve SF largely; Reach sampling precision height, computing real-time good characteristics, and then can improve the precision and the speed of fiber characteristics parameter measurement.
(2) the utility model adopts DSP to realize the analysis and the calculation of parameter of fibre image; The control of DSP is primarily aimed at interface management, data upload, system state setting, Interrupt Process etc.; These controls do not have the sampled data storage control of FPGA realization so high to the requirement of time; But digital signal processing that DSP is powerful and control function can realize the function that some FPGA are difficult to realize easily, need complicated calculating such as the realization of the complicated algorithm of fibre image, the statistics of measurement parameter etc.
(3) analysis of fibre image is adopted multi-scale technique with processing, under coarse resolution, measures physical length L, projected length l, the crimp index C of fiber
l, the width d of calculating fiber, rugosity Co, kink index K under high resolving power
l, fiber fines becomes gradation parameter, the fiber form parameter is calculated in classification, simultaneously the plurality of fibers parameter of measuring is carried out statistical study.Both realize the high-acruracy survey calculating of small parameters such as rugosity, width, also realized length, crimp index, the isoparametric quick measurement of kink index and calculating.
(4) circularly polarized light is adopted in the illumination of measuring system, and imaging effect is good, can not receive the influence of factors such as bubble, spot and direction, keeps the image of pristine fibre form to greatest extent, has improved measurement range and measuring accuracy.Shown in accompanying drawing 5a-c.
Description of drawings
Fig. 1 is the quick measuring system block diagram of embedded fibre morphology parameter;
Fig. 2 handles for fibre image and parameter measurement statistics process flow diagram;
Fig. 3 fibre image Preprocessing Algorithm process flow diagram;
Fig. 4 fibre image multi-scale geometric analysis process flow diagram;
Fig. 5 a polarized light and nonpolarized light obtain the difference figure of fibre image;
The fibre image that Fig. 5 b circularly polarized light obtains has kept the form of pristine fibre;
The fibre image that Fig. 5 c linearly polarized light obtains has partial distortion;
The pre-service of Fig. 6 a fibre image is fibre image in the example as a result;
Fig. 6 b fibre image pre-service denoising in the example as a result, strengthen the result;
The pre-service of Fig. 6 c fibre image is binaryzation result in the example as a result;
The pre-service of Fig. 6 d fibre image is the level and smooth result of fiber edge in the example as a result;
Yardstick in Fig. 7 a fibre image multiscale analysis example decomposes;
Refinement result in Fig. 7 b fibre image multiscale analysis example;
Fiber edge in Fig. 7 c fibre image multiscale analysis example;
Fig. 8 a fiber kink point detects the original image in the example as a result;
Fig. 8 b fiber kink point detects the kink point detection result in the example as a result;
Fig. 9 physical length L and projected length l, curling and kink synoptic diagram.
Wherein, 1.CCD video camera, 2.ADC conversion chip, 3.SDRAM module, 4.DSP reading of data control module, 5. fibre image pre-processing module, 6.DSP module, 7.LCD display, 8.FLASH module, 9.ADC time-sequence control module.
Embodiment
Below in conjunction with accompanying drawing and embodiment the utility model is further specified.
As shown in Figure 1, the hardware of the system that the utility model is related mainly prepares equipment, ccd video camera 1, ADC conversion chip 2, FPGA, DSP module 6, FLASH module 8 and LCD display 7 by fiber samples and forms.The fibre image that ccd video camera 1 is taken links to each other with ADC conversion chip 2, is used for analog image is converted into digital picture, by the sequential of the ADC time-sequence control module 9 control ADC conversion chips 2 of FPGA, the collection of completion fibre image.After gathering end the view data that collects is sent into FPGA; Carry out pre-service by 5 pairs of images of fibre image pre-processing module; The data volume that the Signal Pretreatment algorithm of bottom will be handled is big, processing speed is required height, but algorithm structure is simple; Be applicable to that FPGA carries out hardware programming and realizes, deposit SDRAM module 3 in through the view data after the bottom pre-service.Take the mode of synchronization frame sampling, deposit a frame continuous data in SDRAM module 3 after, by DSP module 6 reading of data from SDRAM module 3, DSP module 6 adopts multistage water operation to realize data in real time, show accurately.Reading strong point synchronizing signal (sampled point look-at-me) is produced by FPGA, can decide according to needs, and its cycle is the FPGA integral multiple in overall situation cycle, the i.e. integral multiple of ADC conversion chip 2 output point synchronizing signals.DSP module 6 adopts the mode of interrupting, and the pretreated view data of FPGA is read through the mode of EMIFA mouth with EDMA, deposits FLASH the module 8 interior and demonstrations on LCD display 7 of DSP module 6 peripheral hardwares in.Between FPGA and the DSP module 6 handshake is arranged, send signal by FPGA, notice DSP module 6 reading of data from SDRAM module 3 is done corresponding algorithm process then, and the fiber form parameter is calculated in classification.
Accompanying drawing 2 has provided fibre image processing and parameter measurement statistics flow process.Concrete steps are following:
(1) paper pulp fiber sample preparation;
(2) ccd video camera 1 is realized the perception of fibre image;
(3) ADC conversion chip 2 links to each other with fpga chip with ccd video camera, is used for the analog picture signal of ccd video camera 1 output carry out fast digitalization, converts digital picture into.
(4) FPGA links to each other with DSP module 6 with ADC conversion chip 2, is used to control the sequential logic of ADC conversion chip 2, accomplishes fast digitalization, the pre-service of fibre image, and sends look-at-me notice DSP module 6 reading of data.The fibre image pre-service comprise image denoising, strengthen, cut apart, remove non-zone of fiber, pretreatment process is as shown in Figure 3, fibre image pre-service result is shown in Fig. 6 a-d.
(5) the DSP module 6, link to each other with LCD display 7 with fpga chip, are used for the collection of start-up control image and the reading and handling of the fibre image data that collect.Simultaneously, the pretreated fibre image of fpga chip is carried out multiple dimensioned processing, process flow diagram is as shown in Figure 4, and result is measured physical length L, projected length l, the crimp index C of fiber under coarse resolution shown in Fig. 7 a-c, Fig. 8 a, b
l, the width d of calculating fiber, rugosity Co, kink index K under high resolving power
l, fiber fines becomes gradation parameter, the fiber form parameter is calculated in classification, simultaneously the plurality of fibers parameter of measuring is carried out statistical study, then the result is shown through LCD.
(6) the FLASH flash memory carries out the storage of image and measurement data.
In the step (5), DSP module 6 is used for the pretreated fibre image of FPGA is carried out multi-scale geometric analysis, and the fiber form parameter is calculated in classification, and is as shown in Figure 9; Be under the thick yardstick, image to be carried out refinement under low resolution, calculate the length and the crimp index of fiber; Be under the thin yardstick, image carried out rim detection, utilize on the marginal point detection of twisting together of curved transition speed that the fast-changing point of curvature is exactly to twist together a little under high resolving power; The kink angle of calculating kink point place according to the difference in change of kink point place neighborhood slope then; Utilize formula (2) to calculate kink index C at last
lWherein, crimp index refers to that the continuous gradually bending of fiber is that curved transition is slow, sees formula:
The fiber crimp index increases, and become tensile strength, bursting strength, the ring crush intensity of paper to descend, and the air permeability of paper, bulk, filter velocity and light-scattering coefficient increases;
Kink is meant that the stiff turnover that produces owing to the fiber finer cell wall is impaired is the fast change of fiber curvature; The high fiber of kink degree can receive bigger weakening aspect the tensile strength of paper, the tear strength properties; The weighted sum that the interior kink of angular region number is respectively twisted together in the kink index definition, see formula:
N wherein
xBe the kink number in the scope of kink angle " x ", L
TotalBe total fibre length.
Claims (2)
1. quick measuring system of embedded paper pulp fiber morphological parameters based on FPGA+DSP; It is characterized in that it comprises ccd video camera, it is connected with the ADC conversion chip; The ADC conversion chip is connected with SDRAM module in the FPGA module; The SDRAM module is connected with the fibre image pre-processing module, in the FPGA module, also is provided with DSP reading of data control module and ADC time-sequence control module simultaneously, and the ADC time-sequence control module is connected with the ADC conversion chip; DSP reading of data control module and DSP module communication, simultaneously the DSP module is also stored the FLASH module communication with SDRAM module and LCD display and fibre image, morphological parameters.
2. the quick measuring system of embedded paper pulp fiber morphological parameters based on FPGA+DSP as claimed in claim 1 is characterized in that, 2 circular analyzers of configuration on the said ccd video camera light path.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102692251A (en) * | 2012-05-14 | 2012-09-26 | 山东轻工业学院 | FPGA (Field Programmable Gate Array) and DSP (Digital Signal Processor) based system and method for rapidly measuring embedded pulp fiber morphological parameters |
| CN103020972A (en) * | 2012-12-28 | 2013-04-03 | 中国科学院长春光学精密机械与物理研究所 | Embedded processor based binary image connected domain detecting method |
| CN104713828A (en) * | 2015-03-09 | 2015-06-17 | 陕西科技大学 | Method for identifying paper pulp types |
| CN111445495A (en) * | 2020-04-15 | 2020-07-24 | 青海民族大学 | Uneven-illumination image edge detection system and method |
-
2012
- 2012-05-14 CN CN 201220214188 patent/CN202630915U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102692251A (en) * | 2012-05-14 | 2012-09-26 | 山东轻工业学院 | FPGA (Field Programmable Gate Array) and DSP (Digital Signal Processor) based system and method for rapidly measuring embedded pulp fiber morphological parameters |
| CN103020972A (en) * | 2012-12-28 | 2013-04-03 | 中国科学院长春光学精密机械与物理研究所 | Embedded processor based binary image connected domain detecting method |
| CN104713828A (en) * | 2015-03-09 | 2015-06-17 | 陕西科技大学 | Method for identifying paper pulp types |
| CN104713828B (en) * | 2015-03-09 | 2018-01-23 | 陕西科技大学 | A kind of method for differentiating pulp fiber variety |
| CN111445495A (en) * | 2020-04-15 | 2020-07-24 | 青海民族大学 | Uneven-illumination image edge detection system and method |
| CN111445495B (en) * | 2020-04-15 | 2022-09-13 | 青海民族大学 | Uneven-illumination image edge detection method |
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Granted publication date: 20121226 Termination date: 20130514 |