CN110896447B - Instant detection platform for content difference of communication signals - Google Patents
Instant detection platform for content difference of communication signals Download PDFInfo
- Publication number
- CN110896447B CN110896447B CN201910954665.9A CN201910954665A CN110896447B CN 110896447 B CN110896447 B CN 110896447B CN 201910954665 A CN201910954665 A CN 201910954665A CN 110896447 B CN110896447 B CN 110896447B
- Authority
- CN
- China
- Prior art keywords
- image
- belt
- pattern
- unit
- brightness
- 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.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/741—Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
Abstract
The invention relates to a content difference instant detection platform, which comprises: a clock supply device for providing different clock control signals for each component in the button capturing device; a button capture device disposed above the conveyor belt; a region dividing device for dividing the belt pattern along a belt length direction to obtain a left belt pattern, a right belt pattern, and a center belt pattern; and a brightness analysis device which acquires the overall brightness of the left belt pattern as a first overall brightness, acquires the overall brightness of the right belt pattern as a second overall brightness, and acquires the overall brightness of the center belt pattern as a third overall brightness. The content difference instant detection platform is reliable in principle and effective in detection. The edge area and the central area of the conveying belt are compared in brightness so as to detect whether the left edge or the right edge is seriously worn or not on site and wirelessly inform, thereby avoiding the occurrence of conveying faults.
Description
Technical Field
The invention relates to the field of signal processing, in particular to a communication signal content difference instant detection platform.
Background
Digital signal processing is developed in the 60 th century, and the design of a circuit and a filter is simulated by an electronic computer in Bell laboratories and the institute of technology, Massachusetts, and the development foundation of the digital filter is laid.
In the middle of the 60 s, the fast fourier transform was invented, so that the calculation speed of fourier analysis of spectrum analysis was increased by more than one hundred times, thereby achieving the purpose of spectrum analysis by using an electronic computer, laying a practical foundation for signal and system analysis, and forming a basic method and concept of digital signal processing with digital filtering and fast fourier transform as central contents. The term digital signal processing was introduced in the scientific field since the 70 s.
Disclosure of Invention
The invention has at least the following two important points:
(1) based on the characteristic that the edge of the conveying belt is worn more than the fixing mechanism of the rolling type combined conveying belt, brightness comparison is carried out on the edge area and the central area of the conveying belt, so that whether the left side edge or the right side edge is worn seriously is detected on site and wirelessly informed, and therefore the conveying fault is avoided;
(2) the button capturing device with the customized structure comprises a dynamic range adjusting unit, a logarithm enhancing unit, a high-pass filtering sharpening unit and a bilinear interpolation unit, and therefore the quality of an output image is guaranteed.
According to an aspect of the present invention, there is provided a content difference immediate detection platform, the platform comprising: the clock supply device is arranged near the button capturing device, is connected with the button capturing device and is used for providing different clock control signals for each component in the button capturing device; the button capturing device is arranged above the conveyor belt and comprises a CCD sensing unit, a dynamic range adjusting unit, a logarithm enhancing unit, a high-pass filtering sharpening unit and a bilinear interpolation unit, wherein the CCD sensing unit is used for executing image capturing action on a scene where the conveyor belt is located so as to obtain and output a corresponding real-time captured image.
More specifically, in the content variance immediate detection platform: in the button capturing apparatus, the dynamic range adjusting unit is connected to the CCD sensor, and is configured to perform a dynamic range adjusting operation on the received real-time captured image to obtain a corresponding dynamic range adjusted image.
More specifically, in the content variance immediate detection platform: in the button capturing device, the logarithmic enhancement unit is connected with the dynamic range adjustment unit and is used for carrying out image enhancement processing based on logarithmic transformation on the received dynamic range adjustment image to obtain a corresponding logarithmic enhancement image; in the button capturing device, the high-pass filtering sharpening unit is connected with the logarithm enhancement unit and is used for carrying out high-pass filtering sharpening processing on the received logarithm enhancement image so as to obtain a corresponding high-pass filtering sharpened image.
More specifically, in the content variance immediate detection platform: in the button capturing device, the bilinear interpolation unit is connected with the high-pass filtering sharpening unit and is used for executing bilinear interpolation processing on the received high-pass filtering sharpened image so as to obtain and output a corresponding bilinear interpolation image.
More specifically, in the content difference instant detection platform, the method further comprises: the belt extraction device is connected with the button capture device and is used for taking pixel points of which the brightness values are located between an upper belt brightness threshold and a lower belt brightness threshold in the received bilinear interpolation image as belt pixel points and outputting a pattern obtained after the de-lone point processing is performed on a plurality of belt pixel points in the bilinear interpolation image as a belt pattern; an area dividing device connected with the belt extracting device and used for dividing the belt pattern along the length direction of the belt to obtain a left belt pattern, a right belt pattern and a central belt pattern; and a brightness analysis device which acquires the overall brightness of the left belt pattern as a first overall brightness, acquires the overall brightness of the right belt pattern as a second overall brightness, and acquires the overall brightness of the center belt pattern as a third overall brightness.
The content difference instant detection platform is reliable in principle and effective in detection. The edge area and the central area of the conveying belt are compared in brightness so as to detect whether the left edge or the right edge is seriously worn or not on site and wirelessly inform, thereby avoiding the occurrence of conveying faults.
Detailed Description
Embodiments of the instant content difference detection platform of the present invention will be described in detail below.
The respective contents of image processing are linked to each other. A practical image processing system often combines several image processing techniques to achieve the desired result. Image digitization is the first step in transforming an image into a form suitable for computer processing. Image coding techniques may be used to transmit and store images. Image enhancement and restoration may be the final purpose of image processing or may be in preparation for further processing. The image characteristics obtained by image segmentation can be used as a final result and can also be used as the basis for the next image analysis.
Image matching, description and recognition compare and register images, extract the features and interrelations of the images by segmentation to obtain a symbolic description of the image, which is then compared with models to determine its classification. Image matching attempts to establish a geometric correspondence between two pictures, measuring how similar or different they are. Matching is used for registration between pictures or between pictures and maps, for example, detecting scene changes between pictures taken at different times to find the trajectory of a moving object.
At present, in the use process of a conveyor belt, the conveyor belt is generally fixed in a rolling type combined manner, so that the two sides of the conveyor belt are rubbed with high force and high probability, and the conveyor belt is damaged more easily.
In order to overcome the defects, the invention builds a content difference instant detection platform, and can effectively solve the corresponding technical problem.
The content difference immediate detection platform shown according to the embodiment of the invention comprises:
the clock supply device is arranged near the button capturing device, is connected with the button capturing device and is used for providing different clock control signals for each component in the button capturing device;
the button capturing device is arranged above the conveyor belt and comprises a CCD sensing unit, a dynamic range adjusting unit, a logarithm enhancing unit, a high-pass filtering sharpening unit and a bilinear interpolation unit, wherein the CCD sensing unit is used for executing image capturing action on a scene where the conveyor belt is located so as to obtain and output a corresponding real-time captured image.
Next, the detailed structure of the content difference immediate detection platform of the present invention will be further described.
In the content difference instant detection platform:
in the button capturing apparatus, the dynamic range adjusting unit is connected to the CCD sensor, and is configured to perform a dynamic range adjusting operation on the received real-time captured image to obtain a corresponding dynamic range adjusted image.
In the content difference instant detection platform:
in the button capturing device, the logarithmic enhancement unit is connected with the dynamic range adjustment unit and is used for carrying out image enhancement processing based on logarithmic transformation on the received dynamic range adjustment image to obtain a corresponding logarithmic enhancement image;
in the button capturing device, the high-pass filtering sharpening unit is connected with the logarithm enhancement unit and is used for carrying out high-pass filtering sharpening processing on the received logarithm enhancement image so as to obtain a corresponding high-pass filtering sharpened image.
In the content difference instant detection platform:
in the button capturing device, the bilinear interpolation unit is connected with the high-pass filtering sharpening unit and is used for executing bilinear interpolation processing on the received high-pass filtering sharpened image so as to obtain and output a corresponding bilinear interpolation image.
In the content difference instant detection platform, the method further comprises the following steps:
the belt extraction device is connected with the button capture device and is used for taking pixel points of which the brightness values are located between an upper belt brightness threshold and a lower belt brightness threshold in the received bilinear interpolation image as belt pixel points and outputting a pattern obtained after the de-lone point processing is performed on a plurality of belt pixel points in the bilinear interpolation image as a belt pattern;
an area dividing device connected with the belt extracting device and used for dividing the belt pattern along the length direction of the belt to obtain a left belt pattern, a right belt pattern and a central belt pattern;
a luminance analyzing device that acquires the overall luminance of the left belt pattern as a first overall luminance, acquires the overall luminance of the right belt pattern as a second overall luminance, and acquires the overall luminance of the center belt pattern as a third overall luminance;
the deviation detection equipment is connected with the brightness analysis equipment and used for sending a left side abrasion signal when the deviation value of the first overall brightness deviating from the third overall brightness exceeds the limit, and otherwise, sending a left side normal signal;
the deviation detection equipment is also used for sending a right side abrasion signal when the deviation value of the second overall brightness deviating from the third overall brightness exceeds the limit, otherwise, sending a right side normal signal;
the wireless notification equipment is connected with the deviation detection equipment and is used for wirelessly sending the left side abrasion signal or the right side abrasion signal to a mobile terminal of a nearest manager when receiving the left side abrasion signal or the right side abrasion signal;
wherein, in the region dividing apparatus, a sum of areas of the left belt sub-pattern and the right belt sub-pattern is equal to an area of the center belt sub-pattern.
In the content difference instant detection platform, the method further comprises the following steps:
the edge sharpening device is connected with the button capturing device and is used for carrying out edge sharpening processing on the received bilinear interpolation image so as to obtain and output a corresponding edge sharpened image;
and the color correction device is connected with the edge sharpening device and is used for executing color correction processing on the received edge sharpened image so as to obtain and output a corresponding color correction image.
In the content difference instant detection platform, the method further comprises the following steps:
and the parameter extraction equipment is connected with the color correction equipment and used for receiving the color correction image, acquiring the area of each object pattern in the color correction image, taking the object pattern with the area close to the belt area threshold as a to-be-processed sub-image, carrying out shape analysis on the to-be-processed sub-image to obtain a plurality of geometric features of an object in the to-be-processed sub-image, and respectively carrying out normalization processing on the geometric features to obtain a plurality of normalized features.
In the content difference instant detection platform, the method further comprises the following steps:
the signal detection equipment is connected with the parameter extraction equipment and used for receiving the plurality of normalization features and inputting the plurality of normalization features into a multi-input single-output deep neural network which is trained and tested in advance to obtain the output object type so as to determine whether a belt exists or not, wherein the number of the plurality of normalization features is the same as the number of the input parameters of the deep neural network;
and the area analysis device is connected with the signal detection device and is used for outputting an image area except the sub-image to be processed in the color correction image as a non-attention area when the belt is determined to exist.
In the content difference instant detection platform, the method further comprises the following steps:
and the numerical value setting device is respectively connected with the belt extraction device, the region analysis device and the color correction device, and is used for setting the pixel values of all pixel points of a non-concerned region in the color correction image to be preset pixel values so as to obtain a numerical value setting image corresponding to the color correction image, and replacing the bilinear interpolation image with the numerical value setting image and sending the numerical value setting image to the belt extraction device.
In the content difference instant detection platform, the method further comprises the following steps:
the SDRAM storage device is connected with the numerical value setting device and used for receiving the numerical value setting image and temporarily storing the numerical value setting image;
and the SDRAM storage equipment is also connected with the area analysis equipment and is used for temporarily storing the non-concerned area.
In addition, the SDRAM: synchronous Dynamic Random Access Memory, wherein synchronization refers to that a Synchronous clock is required for Memory work, and internal command sending and data transmission are based on the Synchronous clock; dynamic means that the memory array needs to be refreshed continuously to ensure that data is not lost; random means that data are not stored linearly and sequentially, but data are read and written by freely appointing addresses. The clock frequency of the SDR SDRAM is the frequency of data storage. The operating voltage of the SDRAM is 3.3V.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (6)
1. A content variation instant detection platform, the platform comprising:
the clock supply device is arranged near the button capturing device, is connected with the button capturing device and is used for providing different clock control signals for each component in the button capturing device;
the button capturing device is arranged above the conveyor belt and comprises a CCD sensing unit, a dynamic range adjusting unit, a logarithm enhancing unit, a high-pass filtering sharpening unit and a bilinear interpolation unit, wherein the CCD sensing unit is used for executing image capturing action on a scene where the conveyor belt is located so as to obtain and output a corresponding real-time captured image;
in the button capturing device, the dynamic range adjusting unit is connected with the CCD sensing unit and is configured to perform a dynamic range adjusting operation on the received real-time captured image to obtain a corresponding dynamic range adjusted image;
in the button capturing device, the logarithmic enhancement unit is connected with the dynamic range adjustment unit and is used for carrying out image enhancement processing based on logarithmic transformation on the received dynamic range adjustment image to obtain a corresponding logarithmic enhancement image;
in the button capturing device, the high-pass filtering sharpening unit is connected with the logarithm enhancement unit and is used for carrying out high-pass filtering sharpening processing on the received logarithm enhancement image so as to obtain a corresponding high-pass filtering sharpened image;
in the button capturing device, the bilinear interpolation unit is connected with the high-pass filtering sharpening unit and is used for executing bilinear interpolation processing on the received high-pass filtering sharpened image so as to obtain and output a corresponding bilinear interpolation image;
the belt extraction device is connected with the button capture device and is used for taking pixel points of which the brightness values are located between an upper belt brightness threshold and a lower belt brightness threshold in the received bilinear interpolation image as belt pixel points and outputting a pattern obtained after the de-lone point processing is performed on a plurality of belt pixel points in the bilinear interpolation image as a belt pattern;
an area dividing device connected with the belt extracting device and used for dividing the belt pattern along the length direction of the belt to obtain a left belt pattern, a right belt pattern and a central belt pattern;
a luminance analyzing device that acquires the overall luminance of the left belt pattern as a first overall luminance, acquires the overall luminance of the right belt pattern as a second overall luminance, and acquires the overall luminance of the center belt pattern as a third overall luminance;
the deviation detection equipment is connected with the brightness analysis equipment and used for sending a left side abrasion signal when the deviation value of the first overall brightness deviating from the third overall brightness exceeds the limit, and otherwise, sending a left side normal signal;
the deviation detection equipment is also used for sending a right side abrasion signal when the deviation value of the second overall brightness deviating from the third overall brightness exceeds the limit, otherwise, sending a right side normal signal;
the wireless notification equipment is connected with the deviation detection equipment and is used for wirelessly sending the left side abrasion signal or the right side abrasion signal to a mobile terminal of a nearest manager when receiving the left side abrasion signal or the right side abrasion signal;
wherein, in the region dividing apparatus, a sum of areas of the left belt sub-pattern and the right belt sub-pattern is equal to an area of the center belt sub-pattern.
2. The content variation immediacy detection platform of claim 1, wherein the platform further comprises:
the edge sharpening device is connected with the button capturing device and is used for carrying out edge sharpening processing on the received bilinear interpolation image so as to obtain and output a corresponding edge sharpened image;
and the color correction device is connected with the edge sharpening device and is used for executing color correction processing on the received edge sharpened image so as to obtain and output a corresponding color correction image.
3. The content variation immediacy detection platform of claim 2, wherein the platform further comprises:
and the parameter extraction equipment is connected with the color correction equipment and used for receiving the color correction image, acquiring the area of each object pattern in the color correction image, taking the object pattern with the area close to the belt area threshold as a to-be-processed sub-image, carrying out shape analysis on the to-be-processed sub-image to obtain a plurality of geometric features of an object in the to-be-processed sub-image, and respectively carrying out normalization processing on the geometric features to obtain a plurality of normalized features.
4. The content variation immediacy detection platform of claim 3, wherein the platform further comprises:
the signal detection equipment is connected with the parameter extraction equipment and used for receiving the plurality of normalization features and inputting the plurality of normalization features into a multi-input single-output deep neural network which is trained and tested in advance to obtain the output object type so as to determine whether a belt exists or not, wherein the number of the plurality of normalization features is the same as the number of the input parameters of the deep neural network;
and the area analysis device is connected with the signal detection device and is used for outputting an image area except the sub-image to be processed in the color correction image as a non-attention area when the belt is determined to exist.
5. The content variation immediacy detection platform of claim 4, wherein the platform further comprises:
and the numerical value setting device is respectively connected with the belt extraction device, the region analysis device and the color correction device, and is used for setting the pixel values of all pixel points of a non-concerned region in the color correction image to be preset pixel values so as to obtain a numerical value setting image corresponding to the color correction image, and replacing the bilinear interpolation image with the numerical value setting image and sending the numerical value setting image to the belt extraction device.
6. The content variation immediacy detection platform of claim 5, wherein the platform further comprises:
the SDRAM storage device is connected with the numerical value setting device and used for receiving the numerical value setting image and temporarily storing the numerical value setting image;
and the SDRAM storage equipment is also connected with the area analysis equipment and is used for temporarily storing the non-concerned area.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910954665.9A CN110896447B (en) | 2019-10-09 | 2019-10-09 | Instant detection platform for content difference of communication signals |
| GBGB2015064.5A GB202015064D0 (en) | 2019-10-09 | 2020-09-24 | Instant detection platform for communication signal content differences |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910954665.9A CN110896447B (en) | 2019-10-09 | 2019-10-09 | Instant detection platform for content difference of communication signals |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110896447A CN110896447A (en) | 2020-03-20 |
| CN110896447B true CN110896447B (en) | 2020-12-01 |
Family
ID=69786226
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910954665.9A Active CN110896447B (en) | 2019-10-09 | 2019-10-09 | Instant detection platform for content difference of communication signals |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN110896447B (en) |
| GB (1) | GB202015064D0 (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111858998B (en) * | 2020-06-23 | 2021-10-08 | 深圳市米谷智能有限公司 | Automatic nail beautifying system and method applying block chain network |
| CN113869159B (en) * | 2021-09-16 | 2022-06-10 | 深圳市创宜隆科技有限公司 | Cloud server data management system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103208117A (en) * | 2013-03-21 | 2013-07-17 | 袁景 | Intelligent multifunctional belt surface patch edge detection method |
| CN105548212A (en) * | 2016-02-03 | 2016-05-04 | 杭州晶耐科光电技术有限公司 | System and method for online automatically detecting defects on glass surface of touch screen |
| CN109230351A (en) * | 2018-08-30 | 2019-01-18 | 山西精英科技股份有限公司 | A kind of recognition methods that belt conveyor is operating abnormally |
| CN110049311A (en) * | 2019-04-04 | 2019-07-23 | 广东省安心加科技有限公司 | Video image point offset detection method, device, system and computer equipment |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6801260B1 (en) * | 2000-02-15 | 2004-10-05 | Accu-Sort Systems, Inc. | Automatic focusing camera with moving mirror between fixed lens and fixed image sensor |
| CN103223870B (en) * | 2007-08-06 | 2016-05-18 | 昆士兰铁路有限公司 | Pantograph damage and wear surveillance |
| CN102208018A (en) * | 2011-06-01 | 2011-10-05 | 西安工程大学 | Method for recognizing fire disaster of power transmission line based on video variance analysis |
| CN103248878B (en) * | 2013-05-23 | 2016-03-09 | 南车株洲电力机车有限公司 | A kind of mode identification method, equipment and system of fully-mechanized mining working unusual condition |
| US9672594B2 (en) * | 2014-10-21 | 2017-06-06 | The Boeing Company | Multiple pixel pitch super resolution |
| CN105491349B (en) * | 2015-12-31 | 2019-03-26 | 天津市三特电子有限公司 | The automatic Perambulated inspection system of belt group abnormality and its detection method |
| CN205940496U (en) * | 2016-08-03 | 2017-02-08 | 广州市华维橡塑制品有限公司 | Rubber developments abrasion index detection device |
| JP2018113614A (en) * | 2017-01-12 | 2018-07-19 | ソニーセミコンダクタソリューションズ株式会社 | Imaging device and imaging method, electronic apparatus, and signal processing device |
| CN110033468B (en) * | 2019-03-21 | 2020-01-17 | 孙凯 | Object removal detection method and device and terminal equipment |
| CN109841086A (en) * | 2019-03-26 | 2019-06-04 | 宋贤 | Radio communication control apparatus |
-
2019
- 2019-10-09 CN CN201910954665.9A patent/CN110896447B/en active Active
-
2020
- 2020-09-24 GB GBGB2015064.5A patent/GB202015064D0/en not_active Ceased
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103208117A (en) * | 2013-03-21 | 2013-07-17 | 袁景 | Intelligent multifunctional belt surface patch edge detection method |
| CN105548212A (en) * | 2016-02-03 | 2016-05-04 | 杭州晶耐科光电技术有限公司 | System and method for online automatically detecting defects on glass surface of touch screen |
| CN109230351A (en) * | 2018-08-30 | 2019-01-18 | 山西精英科技股份有限公司 | A kind of recognition methods that belt conveyor is operating abnormally |
| CN110049311A (en) * | 2019-04-04 | 2019-07-23 | 广东省安心加科技有限公司 | Video image point offset detection method, device, system and computer equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110896447A (en) | 2020-03-20 |
| GB202015064D0 (en) | 2020-11-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110473242B (en) | Texture feature extraction method, texture feature extraction device and terminal equipment | |
| CN106296578B (en) | Image processing method and device | |
| CN110896447B (en) | Instant detection platform for content difference of communication signals | |
| CN109145803B (en) | Gesture recognition method and device, electronic equipment and computer readable storage medium | |
| CN108875621B (en) | Image processing method, image processing device, computer equipment and storage medium | |
| WO2013148566A1 (en) | Image blur detection | |
| CN110852997A (en) | Dynamic image definition detection method and device, electronic equipment and storage medium | |
| CN106033535A (en) | Electronic paper marking method | |
| CN107018407B (en) | Information processing device, evaluation chart, evaluation system, and performance evaluation method | |
| KR20160037305A (en) | Method for User Authentication using Fingerprint Recognition | |
| CN104749801B (en) | High Precision Automatic optical detecting method and system | |
| CN107909554B (en) | Image noise reduction method and device, terminal equipment and medium | |
| CN116519707A (en) | Lithium battery defect detection method and device based on machine vision and electronic equipment | |
| CN111398292A (en) | Gabor filtering and CNN-based cloth defect detection method, system and equipment | |
| CN111127358A (en) | Image processing method, device and storage medium | |
| CN104966283A (en) | Imaging layered registering method | |
| CN113673515A (en) | Computer vision target detection algorithm | |
| CN111126147B (en) | Image processing method, device and electronic system | |
| CN112330618A (en) | Image offset detection method, device and storage medium | |
| CN111080683B (en) | Image processing method, device, storage medium and electronic equipment | |
| US9122935B2 (en) | Object detection method, storage medium, integrated circuit, and object detection apparatus | |
| CN113822927B (en) | Face detection method, device, medium and equipment suitable for weak quality image | |
| CN115359022A (en) | Power chip quality detection method and system | |
| CN110738224A (en) | image processing method and device | |
| JP6217479B2 (en) | Image processing apparatus, image processing method, and image processing program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201116 Address after: Room 105, No. 12 Building, Yuyuan, Singapore, Luan Economic and Technological Development Zone, Luan City, Anhui Province Applicant after: LU'AN RONGYAO INNOVATION INTELLIGENT TECHNOLOGY Co.,Ltd. Address before: No. 588, Changjiang East Road, Huaiyin District, Huai'an City, Jiangsu Province Applicant before: Wang Kun |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |