CN102901732A - Method for acquiring and processing enlarged images of fabrics based on digital signal processor (DSP) - Google Patents
Method for acquiring and processing enlarged images of fabrics based on digital signal processor (DSP) Download PDFInfo
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- CN102901732A CN102901732A CN201210430902XA CN201210430902A CN102901732A CN 102901732 A CN102901732 A CN 102901732A CN 201210430902X A CN201210430902X A CN 201210430902XA CN 201210430902 A CN201210430902 A CN 201210430902A CN 102901732 A CN102901732 A CN 102901732A
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- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Treatment Of Fiber Materials (AREA)
Abstract
The invention relates to a method for acquiring and processing enlarged images of fabrics based on a digital signal processor (DSP) and belongs to the field of novel textile testing. In the textile industry, most detection depends on vision of operators. With the development of image process technology, particularly the advancement of embedded machine vision, automatic detection becomes possible. Most detection related to the fabrics is required to be accurate to yarn sizes, the magnifying power of the conventional image acquisition method cannot meet the requirements, and images cannot meet the detection requirements. The invention discloses an enlarging-lens-based digital image acquisition method. According to the method, a digital camera is matched with an enlarging lens to acquire the enlarged images of the fabrics, and the acquired signals are input into a DSP chip to ensure that fabric images are processed and displayed on a special liquid crystal display (LCD). By the method, the enlarged images of the fabrics can be acquired, processed and displayed, and a method for solving related fabric detection problems is provided.
Description
Technical field
The present invention relates to a kind of collection, processing and display packing of fabric enlarged image, it belongs to the novel textile material detection field, is specifically related to enlarged image acquisition technique, embedded machine vision treatment technology.
Background technology
In recent years, along with the development of image processing techniques, its range of application is more and more extensive.In textile industry, the detection that fabric is relevant has the vision that much depends on the testing staff to carry out, such as the detection of fabric construction parameters, fabric pilling ranking etc., the development of image processing techniques is so that the problems referred to above are expected to solve by automated method.
The test problems General Requirements that fabric is relevant is accurate to the yarn rank, and traditional image-pickup method can not reach testing requirement, therefore, at first will amplify processing to fabric before gathering image, so that yarn is clear and legible in the textile image that collects.Detecting instrument is owing to often need to use, so General Requirements has portable characteristics, and the image processing techniques that depends on common computer does not reach portable requirement, and embedded machine vision can effectively address the above problem.
For this reason, the present invention proposes a kind of fabric enlarged image acquisition method based on enlarging lens and digital camera, and by data connecting line image is input in the DSP development board, realize that embedded image is processed and analysis, at last analysis result is outputed on the special-purpose display and show that the specific implementation step as shown in Figure 1.
Summary of the invention
The collection, processing and the display packing that the purpose of this invention is to provide a kind of fabric enlarged image utilize enlarging lens and digital camera to finish the collection of textile image, and are input to the processing of finishing image in the dsp chip, output on the LCD at last to show.
The technical solution used in the present invention is as follows:
(1) based on the combination of enlarging lens and digital camera, finish the collection of fabric enlarged image, require enlargement ratio more than 20 times, in the textile image that collects, yarn is clear and legible;
(2) connect by data, the fabric enlarged image is input in the dsp chip, finish the processing of textile image;
(3) connect by data, result is outputed on the special-purpose display show.
Description of drawings
The performing step that Fig. 1 fabric enlarged image gathers, processes and show
Fig. 2 fabric enlarged image gathers, processes and the demonstration example
Embodiment
Can finish the collection of fabric enlarged image by the combination of enlarging lens and digital camera, connect and the fabric enlarged image can be input in the dsp chip by data, in dsp chip, finish the processing of textile image, at last processing result image is outputed on the special-purpose LCD and show.
Fig. 2 the present invention relates to a kind of instantiation, realize the assembling of enlarging lens by the combination of optical accessories, enlarging lens is linked to each other with the CCD camera, can gather the reflected image of fabric face, connect serial ports by data and will collect textile image and be input among the dsp chip, what use in this example is the DM642 chip.According to the fabric testing requirement, in chip, finish the processing of textile image after, result outputed in the special-purpose color LCD show.
Claims (7)
1. fabric enlarged image acquisition and processing method based on DSP, it is characterized in that: realize the collection of fabric enlarged image based on the combination of digital camera and enlarging lens, the textile image that collects is input in the dsp chip, after finishing the textile image processing, output to again special-purpose display and carry out the image demonstration.
2. enlarging lens according to claim 1 is characterized in that: the combination of scioptics realizes the amplification of fabric more than 20 times, so that the textile image that collects identification yarn clearly.
3. digital camera according to claim 1, it is characterized in that: digital camera can be used in combination with enlarging lens, realizes the clear collection of textile image.
4. digital camera according to claim 1, it is characterized in that: the type of digital camera is CMOS or CCD, and the resolution of camera is more than 300,000 pixels.
5. according to claim 1 digital camera, it is characterized in that: digital camera can be input to view data in the dsp chip by data connecting line, and data-interface is AV, USB, RS232 serial ports etc.
6. according to claim 1 dsp chip, it is characterized in that: the image processing board at DSP place can be finished collection and the output of image.
7. according to claim 1 display is characterized in that: can show the texture color image of processing through dsp chip.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210430902XA CN102901732A (en) | 2012-10-31 | 2012-10-31 | Method for acquiring and processing enlarged images of fabrics based on digital signal processor (DSP) |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210430902XA CN102901732A (en) | 2012-10-31 | 2012-10-31 | Method for acquiring and processing enlarged images of fabrics based on digital signal processor (DSP) |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102901732A true CN102901732A (en) | 2013-01-30 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201210430902XA Pending CN102901732A (en) | 2012-10-31 | 2012-10-31 | Method for acquiring and processing enlarged images of fabrics based on digital signal processor (DSP) |
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| CN (1) | CN102901732A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105386175A (en) * | 2015-12-03 | 2016-03-09 | 江南大学 | Online detection device and detection method of rough yarn uniformity of roving machine |
| CN106979948A (en) * | 2017-02-21 | 2017-07-25 | 上海大学 | Handheld portable Density detecting system |
| CN114858802A (en) * | 2022-07-05 | 2022-08-05 | 天津大学 | Fabric multi-scale image acquisition method and device |
Citations (4)
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| CN101241082A (en) * | 2008-03-14 | 2008-08-13 | 东华大学 | Nonwoven fibric fibre orientation distribution measuring systems and method |
| CN101806749A (en) * | 2010-04-09 | 2010-08-18 | 东华大学 | Device and method for analyzing fiber composition content in fabrics |
| CN101806583A (en) * | 2010-03-04 | 2010-08-18 | 上海大学 | Microscopic image-based fiber fineness measurement method |
| CN102288607A (en) * | 2011-06-20 | 2011-12-21 | 江南大学 | Woven fabric count detector based on digital microscope |
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2012
- 2012-10-31 CN CN201210430902XA patent/CN102901732A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101241082A (en) * | 2008-03-14 | 2008-08-13 | 东华大学 | Nonwoven fibric fibre orientation distribution measuring systems and method |
| CN101806583A (en) * | 2010-03-04 | 2010-08-18 | 上海大学 | Microscopic image-based fiber fineness measurement method |
| CN101806749A (en) * | 2010-04-09 | 2010-08-18 | 东华大学 | Device and method for analyzing fiber composition content in fabrics |
| CN102288607A (en) * | 2011-06-20 | 2011-12-21 | 江南大学 | Woven fabric count detector based on digital microscope |
Non-Patent Citations (5)
| Title |
|---|
| TAE JIN KANG,ET.AL: "Automatic Recognition of Fabric Weave Patterns by Digital Image Analysis", 《TEXTILE RESEARCH JOURNAL》 * |
| 刘亚光等: "基于DSP的便携式织物密度仪可行性分析", 《纺织科技进展》 * |
| 潘如如: "基于数字图像处理的机织物结构参数识别", 《博士学位论文》 * |
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| 潘如如等: "机织物组织自动识别技术", 《纺织学报》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105386175A (en) * | 2015-12-03 | 2016-03-09 | 江南大学 | Online detection device and detection method of rough yarn uniformity of roving machine |
| CN106979948A (en) * | 2017-02-21 | 2017-07-25 | 上海大学 | Handheld portable Density detecting system |
| CN106979948B (en) * | 2017-02-21 | 2020-05-19 | 上海大学 | Handheld portable fabric density detection system |
| CN114858802A (en) * | 2022-07-05 | 2022-08-05 | 天津大学 | Fabric multi-scale image acquisition method and device |
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Application publication date: 20130130 |