CN112071037B - Method for driving field indicator lamp - Google Patents

Method for driving field indicator lamp Download PDF

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Publication number
CN112071037B
CN112071037B CN201910502754.XA CN201910502754A CN112071037B CN 112071037 B CN112071037 B CN 112071037B CN 201910502754 A CN201910502754 A CN 201910502754A CN 112071037 B CN112071037 B CN 112071037B
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image
equipment
full
signal
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CN112071037A (en
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陈军
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Hongqiu Huanyi Technology Group Co ltd
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Hongqiu Huanyi Technology Group Co ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/24Reminder alarms, e.g. anti-loss alarms
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/20Image enhancement or restoration by the use of local operators
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/40Image enhancement or restoration by the use of histogram techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/255Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B5/00Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
    • G08B5/22Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
    • G08B5/36Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/68Food, e.g. fruit or vegetables

Abstract

The invention relates to a driving method of a field indicator lamp, which comprises the step of providing a driving mechanism of the field indicator lamp, and the driving mechanism is used for determining whether a relevant prompt of equipment fouling needs to be sent according to the proportion of occurrence of a scorching condition in a barbecue object.

Description

Site indicator lamp driving method
Technical Field
The invention relates to the field of lamp control, in particular to a driving method of an on-site indicator lamp.
Background
The lamp is an appliance capable of transmitting light, distributing and changing the light distribution of a light source, and comprises all parts except the light source, which are required for fixing and protecting the light source, and circuit accessories which are necessary for connecting with a power supply.
Modern lighting includes home lighting, commercial lighting, industrial lighting, roadway lighting, landscape lighting, specialty lighting, and the like. The home lighting is developed from the earliest incandescent bulb appearing in the birth of electricity, then developed to a fluorescent tube, then developed to the lighting of energy-saving lamps, halogen tungsten lamps, gas discharge lamps and LED special materials, and the like, and most of all lighting lamps are developed under the development of light sources, such as electric lamp holders, fluorescent lamp supports, various kinds of craft lamps and the like.
Commercial lighting sources have also been developed based on incandescent lamps, such as halogen lamps, metal halide lamps, etc., lamps mainly use both spot light and flood light, and signs, advertisements, special show windows, background lighting, etc. are continuously produced according to development requirements.
The light source of industrial illumination is mainly gas discharge lamp, fluorescent lamp, combine other lamps and lanterns lamp decoration, the requirement such as waterproof, explosion-proof, dustproof is customized, but industrial illumination is prudent, especially have all studied on choosing light source and lamps and lanterns, the effect that colour, surface fabric texture produced under different light sources of dress making is different, the choice of lamps and lanterns mainly considers reflexibility, illuminance, maintenance coefficient etc. but most enterprises in China are still not paying attention to at present, only may make a comparison in some other enterprises.
Disclosure of Invention
The invention needs to have the following two key points:
(1) based on the characteristic that the percentage of noise pixel points occupying the total pixel points in the image is relatively small, judging whether to circularly execute the image interpolation action according to the comparison result of signal-to-noise ratios before and after the image interpolation, thereby improving the image interpolation effect;
(2) whether a relevant prompt that equipment is stained needs to be sent is determined according to the proportion of the occurrence of the scorching condition in the barbecue object, so that the intelligent level of relevant equipment is improved.
According to an aspect of the present invention, there is provided a spot light driving method, the method including providing a spot light driving mechanism for determining whether a reminder regarding contamination of equipment needs to be issued based on a rate of occurrence of a scorch condition in a barbecued subject, the spot light driving mechanism including: the device comprises a dining table, a red-green indicating lamp, a microcontroller, a red-light-emitting unit and a green-light-emitting unit, wherein the dining table is provided with a plurality of dining tables; the red and green indicator light is also used for controlling the green light emitting unit to be turned on and the red light emitting unit to be turned off when receiving an equipment cleaning instruction; the food detection equipment is connected with the histogram equalization equipment and used for identifying a plurality of food areas in which a plurality of food objects in the histogram equalization image are respectively located based on the food imaging characteristics, and sending an equipment fouling instruction when the proportion of the food areas occupied by the number of the food areas with the overall brightness less than or equal to a preset brightness threshold value exceeds a preset brightness threshold value; the food detection equipment is also used for sending an equipment cleaning instruction when the proportion of the number of the food areas with the overall brightness less than or equal to the preset brightness threshold value occupying the plurality of food areas is not over the limit; the full-color camera is arranged above the dining table and used for executing full-color camera shooting action to the dining table so as to obtain and output a corresponding full-color shot image; the homomorphic filtering equipment is connected with the full-color camera and used for receiving the full-color shot image and executing image homomorphic filtering on the full-color shot image so as to obtain and output a corresponding instant restored image; and the kriging interpolation device is connected with the homomorphic filtering device and is used for receiving the instant recovery image and executing kriging interpolation processing on the instant recovery image to obtain a corresponding kriging interpolation image.
The field indicator lamp driving method is effective in control and reliable in operation. Whether a relevant prompt that equipment is stained needs to be sent is determined according to the proportion of the occurrence of the scorching condition in the barbecue object, so that the intelligent level of relevant equipment is improved.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is an external configuration view of a full-color camera of a site indicator lamp driving mechanism according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
A Driver (Device Driver) is a special program that enables a computer to communicate with a Device, and is equivalent to a hardware interface, and an operating system can only control the operation of the hardware Device through the interface, and cannot operate normally if the Driver of a Device is not installed correctly.
For this reason, the driver is important in the system, and generally, when the operating system is installed, the driver for installing the hardware device is the first to install. However, in most cases, drivers for all hardware devices are not required to be installed, for example, a hard disk, a display, an optical drive, etc. are not required to be installed, and a video card, a sound card, a scanner, a camera, a Modem, etc. are required to be installed. In addition, the operating systems of different versions support hardware devices differently, and generally, the higher the version is, the more hardware devices are supported, for example, a writer uses Windows XP, and a driver after the system is installed does not need to be installed.
At present, equipment for frying meat or fungi on site is easy to blacken or have food scorched, and at this time, maintenance operation needs to be carried out on the equipment, for example, the equipment is cleaned manually or the fried meat or fungi are cleaned so as to ensure effective performance of subsequent frying, however, a targeted detection mechanism for cleaning the equipment on site is lacked.
In order to overcome the defects, the invention provides a driving method of the field indicator lamp, which comprises the step of providing a driving mechanism of the field indicator lamp, wherein the driving mechanism is used for determining whether a relevant prompt of equipment fouling needs to be sent according to the proportion of the scorching condition in a barbecue object, and the driving mechanism of the field indicator lamp can effectively solve the corresponding technical problem.
A site indicator light drive mechanism according to an embodiment of the present invention is shown comprising:
the device comprises a dining table, a red-green indicating lamp, a microcontroller, a red-light-emitting unit and a green-light-emitting unit, wherein the dining table is provided with a plurality of dining tables;
the red and green indicator light is also used for controlling the green light emitting unit to be turned on and the red light emitting unit to be turned off when receiving an equipment cleaning instruction;
the food detection equipment is connected with the histogram equalization equipment and used for identifying a plurality of food areas in which a plurality of food objects in the histogram equalization image are respectively located based on the food imaging characteristics, and sending an equipment fouling instruction when the proportion of the food areas occupied by the number of the food areas with the overall brightness less than or equal to a preset brightness threshold value exceeds a preset brightness threshold value;
the food detection equipment is also used for sending an equipment cleaning instruction when the proportion of the number of the food areas with the overall brightness less than or equal to the preset brightness threshold value occupying the plurality of food areas is not over the limit;
a full-color camera, as shown in fig. 1, disposed above the dining table, for performing a full-color image capturing operation to face the dining table, so as to obtain and output a corresponding full-color captured image;
the homomorphic filtering equipment is connected with the full-color camera and used for receiving the full-color shot image and executing image homomorphic filtering on the full-color shot image so as to obtain and output a corresponding instant restored image;
the kriging interpolation equipment is connected with the homomorphic filtering equipment and used for receiving the instant recovery image and executing kriging interpolation processing on the instant recovery image to obtain a corresponding kriging interpolation image;
the signal analysis device is connected with the kriging interpolation device and used for receiving the kriging interpolation image and the instant restoration image, acquiring the signal-to-noise ratio of the kriging interpolation image and the signal-to-noise ratio of the instant restoration image, dividing the signal-to-noise ratio of the kriging interpolation image by the signal-to-noise ratio of the instant restoration image to obtain a signal-to-noise ratio multiple, and sending a first control signal when the signal-to-noise ratio multiple exceeds a preset multiple threshold value;
the signal analysis equipment is also used for sending a second control signal when the signal-to-noise ratio multiple does not exceed the preset multiple threshold;
the computer processing chip is respectively connected with the kriging interpolation equipment and the signal analysis equipment and is used for controlling the kriging interpolation equipment to perform one or more times of kriging interpolation processing on the kriging interpolation image when the second control signal is received until a multiple obtained by dividing the signal-to-noise ratio of the processed image by the signal-to-noise ratio of the instant recovery image exceeds a preset multiple threshold value, and outputting the processed image as a representative image;
the computer processing chip is also used for outputting the kriging interpolation image as a representative image when receiving the first control signal;
the histogram equalization equipment is connected with the computer processing chip and the signal analysis equipment and is used for receiving the representative image and executing histogram equalization processing on the representative image so as to obtain and output a corresponding histogram equalization image;
the food detection equipment is embedded in the side face of the dining table and connected with the red-green indicator light, and food in the food detection equipment is meat or fungus.
Next, a detailed description of the field indicator lamp driving mechanism of the present invention will be further described.
In the site indicator lamp driving mechanism:
the histogram equalization equipment, the computer processing chip and the signal analysis equipment share the same quartz oscillator.
The field indicator lamp driving mechanism can further comprise:
and the area analysis equipment is connected with the full-color camera and used for receiving the full-color shot image and carrying out contour extraction on each target in the full-color shot image so as to obtain each distribution area of each target in the full-color shot image.
The field indicator lamp driving mechanism can further comprise:
and the region partitioning device is connected with the region analysis device and is used for partitioning the full-color shot image to obtain each sub-image, wherein the size of the sub-image obtained by uniformly dividing each distribution region in the full-color shot image is smaller than that of the sub-image obtained by uniformly dividing the non-distribution region.
The field indicator lamp driving mechanism can further comprise:
and the dynamic range detection device is connected with the area partitioning device and used for receiving each sub-image of the full-color shooting image, detecting the dynamic range of each sub-image, and adjusting the threshold size of the corresponding sub-image for background stripping based on the width size of the dynamic range of each sub-image.
The field indicator lamp driving mechanism can further comprise:
the foreground analysis device is connected with the dynamic range detection device and used for executing the following processing aiming at each sub-image: performing foreground extraction on the sub-images by adopting the adjusted threshold value to obtain a corresponding foreground area;
and the foreground analysis equipment is also used for integrating the foreground areas corresponding to the sub-images to obtain a foreground image and outputting the foreground image.
The field indicator lamp driving mechanism can further comprise:
the wiener filtering equipment is respectively connected with the homomorphic filtering equipment and the foreground analysis equipment and is used for receiving the foreground image;
the wiener filtering equipment is further used for executing wiener filtering processing on the foreground image to obtain a corresponding image to be processed;
and the wiener filtering equipment is also used for replacing the full-color shot image with the image to be processed and sending the full-color shot image to the homomorphic filtering equipment.
In the site indicator lamp driving mechanism:
in the region blocking apparatus, uniformly dividing each distribution region includes: the larger the area of the distribution region, the larger the size of the sub-image obtained by the division.
In the site indicator lamp driving mechanism:
in the dynamic range detection apparatus, adjusting the threshold size for peeling the background of the corresponding sub-image based on the width size of the dynamic range thereof includes: the larger the width of its dynamic range, the larger the adjusted threshold for background stripping of the corresponding sub-image.
In addition, image filtering, namely, suppressing the noise of the target image under the condition of keeping the detail features of the image as much as possible, is an indispensable operation in image preprocessing, and the effectiveness and reliability of subsequent image processing and analysis are directly affected by the quality of the processing effect.
Due to the imperfections of the imaging system, the transmission medium, and the recording device, the digital images are often contaminated by various noises during the formation, transmission, and recording processes thereof. In addition, noise may also be introduced into the resulting image at some point in the image processing when the input image object is not as expected. These noises often appear as an isolated pixel or block of pixels on the image that causes a strong visual effect. In general, the noise signal is not correlated with the object to be studied-it appears in the form of useless information, disturbing the observable information of the image. For digital image signals, the noise table is more or less extreme values, and the extreme values act on the real gray values of image pixels through addition and subtraction to cause bright and dark point interference on the image, so that the image quality is greatly reduced, and the follow-up work of image restoration, segmentation, feature extraction, image identification and the like is influenced. Two basic issues must be considered to construct an effective noise suppression filter: the noise in the target and the background can be effectively removed; meanwhile, the shape, the size and the specific geometric and topological structure characteristics of the image target can be well protected.
One of the commonly used modes of image filtering is a non-linear filter, generally speaking, when the signal spectrum is mixed with the noise spectrum or when the signal contains non-superimposed noise, such as noise caused by system nonlinearity or non-gaussian noise, etc., the conventional linear filtering techniques, such as fourier transform, always blur the image details in some way while filtering the noise, thereby causing the positioning accuracy of the image linear features and the extractability of the features to be reduced. The nonlinear filter is based on a nonlinear mapping relation of an input signal, a specific noise can be mapped to be zero approximately, the main characteristic of the signal is reserved, and therefore the nonlinear filter can overcome the defects of the linear filter to a certain extent.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the true spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.

Claims (3)

1. A site indicating lamp driving method, the method comprising providing a site indicating lamp driving mechanism for determining whether a reminder related to equipment fouling needs to be issued according to a proportion of a scorching condition occurring in a barbecue subject, the site indicating lamp driving mechanism comprising:
the device comprises a dining table, a red-green indicating lamp, a microcontroller, a red-light-emitting unit and a green-light-emitting unit, wherein the dining table is provided with a plurality of dining tables;
the red and green indicator light is also used for controlling the green light emitting unit to be turned on and the red light emitting unit to be turned off when receiving an equipment cleaning instruction;
the food detection equipment is connected with the histogram equalization equipment and used for identifying a plurality of food areas in which a plurality of food objects in the histogram equalization image are respectively located based on the food imaging characteristics, and sending an equipment fouling instruction when the proportion of the food areas occupied by the number of the food areas with the overall brightness less than or equal to a preset brightness threshold value exceeds a preset brightness threshold value;
the food detection equipment is also used for sending an equipment cleaning instruction when the proportion of the number of the food areas with the overall brightness less than or equal to the preset brightness threshold value occupying the plurality of food areas is not over the limit;
the full-color camera is arranged above the dining table and used for executing full-color camera shooting action to the dining table so as to obtain and output a corresponding full-color shot image;
the homomorphic filtering equipment is connected with the full-color camera and used for receiving the full-color shot image and executing image homomorphic filtering on the full-color shot image so as to obtain and output a corresponding instant restored image;
the kriging interpolation equipment is connected with the homomorphic filtering equipment and used for receiving the instant recovery image and executing kriging interpolation processing on the instant recovery image to obtain a corresponding kriging interpolation image;
the signal analysis device is connected with the kriging interpolation device and used for receiving the kriging interpolation image and the instant restoration image, acquiring the signal-to-noise ratio of the kriging interpolation image and the signal-to-noise ratio of the instant restoration image, dividing the signal-to-noise ratio of the kriging interpolation image by the signal-to-noise ratio of the instant restoration image to obtain a signal-to-noise ratio multiple, and sending a first control signal when the signal-to-noise ratio multiple exceeds a preset multiple threshold value;
the signal analysis equipment is also used for sending a second control signal when the signal-to-noise ratio multiple does not exceed the preset multiple threshold;
the computer processing chip is respectively connected with the kriging interpolation equipment and the signal analysis equipment and is used for controlling the kriging interpolation equipment to perform one or more times of kriging interpolation processing on the kriging interpolation image when the second control signal is received until a multiple obtained by dividing the signal-to-noise ratio of the processed image by the signal-to-noise ratio of the instant recovery image exceeds a preset multiple threshold value, and outputting the processed image as a representative image;
the computer processing chip is also used for outputting the kriging interpolation image as a representative image when receiving the first control signal;
the histogram equalization equipment is connected with the computer processing chip and the signal analysis equipment and is used for receiving the representative image and executing histogram equalization processing on the representative image so as to obtain and output a corresponding histogram equalization image;
the food detection equipment is embedded in the side face of the dining table and connected with the traffic light, and food in the food detection equipment is meat or fungus;
the histogram equalization equipment, the computer processing chip and the signal analysis equipment share the same quartz oscillator;
the area analysis equipment is connected with the full-color camera and used for receiving the full-color shot image and extracting the outline of each target in the full-color shot image so as to obtain each distribution area of each target in the full-color shot image;
the area partitioning device is connected with the area analyzing device and is used for partitioning the full-color shot image to obtain each sub-image, wherein in the full-color shot image, the size of the sub-image obtained by uniformly dividing each distribution area is smaller than that of the sub-image obtained by uniformly dividing the non-distribution area;
the dynamic range detection device is connected with the region partitioning device and used for receiving each sub-image of the full-color shot image, detecting the dynamic range of each sub-image and adjusting the threshold size of the corresponding sub-image for background stripping based on the width of the dynamic range of each sub-image;
the foreground analysis device is connected with the dynamic range detection device and used for executing the following processing aiming at each sub-image: performing foreground extraction on the sub-images by adopting the adjusted threshold value to obtain a corresponding foreground area;
the foreground analysis equipment is further used for integrating each foreground region corresponding to each sub-image to obtain a foreground image and outputting the foreground image;
the wiener filtering equipment is respectively connected with the homomorphic filtering equipment and the foreground analysis equipment and is used for receiving the foreground image;
the wiener filtering equipment is further used for executing wiener filtering processing on the foreground image to obtain a corresponding image to be processed;
and the wiener filtering equipment is also used for replacing the full-color shot image with the image to be processed and sending the full-color shot image to the homomorphic filtering equipment.
2. The method of claim 1, wherein:
in the region blocking apparatus, uniformly dividing each distribution region includes: the larger the area of the distribution region, the larger the size of the sub-image obtained by the division.
3. The method of claim 2, wherein:
in the dynamic range detection apparatus, adjusting the threshold size for peeling the background of the corresponding sub-image based on the width size of the dynamic range thereof includes: the larger the width of its dynamic range, the larger the adjusted threshold for background stripping of the corresponding sub-image.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101064816A (en) * 2006-04-25 2007-10-31 三星电子株式会社 Image processing apparatus and method for preventing degradation of image quality when bit format of image is converted
CN103366345A (en) * 2012-03-31 2013-10-23 胡继超 Degraded video image restoration technology
CN103455995A (en) * 2012-05-31 2013-12-18 富士通株式会社 Image processing device, image processing method, scanner and storage media
CN105407296A (en) * 2015-11-18 2016-03-16 腾讯科技(深圳)有限公司 Real-time video enhancement method and device
CN108710832A (en) * 2018-04-26 2018-10-26 北京万里红科技股份有限公司 It is a kind of without refer to definition of iris image detection method
CN108765314A (en) * 2018-05-02 2018-11-06 深圳供电局有限公司 A kind of image defogging method containing high-brightness region
CN109003273A (en) * 2018-07-27 2018-12-14 郑州工程技术学院 A kind of car light light guide consistency detecting method

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016077934A1 (en) * 2014-11-21 2016-05-26 Le Henaff Guy System and method for detecting the authenticity of products
JP2018029289A (en) * 2016-08-18 2018-02-22 ブラザー工業株式会社 Image processing apparatus and image processing method
US10789712B2 (en) * 2017-07-11 2020-09-29 MESC Health Ltd Method and system for image analysis to detect cancer
CN108872245B (en) * 2018-05-28 2020-12-22 嵊州市万智网络科技有限公司 Intelligent dining table oil stain removing method
CN109204106B (en) * 2018-08-27 2020-08-07 浙江大丰实业股份有限公司 Stage equipment moving system
CN109344827B (en) * 2018-09-29 2023-06-16 佛山市云米电器科技有限公司 Range hood with light supplementing device and range hood concentration detection method
CN109668178A (en) * 2018-12-31 2019-04-23 佛山市云米电器科技有限公司 A kind of telescopic folding kitchen range that can remotely close fire

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101064816A (en) * 2006-04-25 2007-10-31 三星电子株式会社 Image processing apparatus and method for preventing degradation of image quality when bit format of image is converted
CN103366345A (en) * 2012-03-31 2013-10-23 胡继超 Degraded video image restoration technology
CN103455995A (en) * 2012-05-31 2013-12-18 富士通株式会社 Image processing device, image processing method, scanner and storage media
CN105407296A (en) * 2015-11-18 2016-03-16 腾讯科技(深圳)有限公司 Real-time video enhancement method and device
CN108710832A (en) * 2018-04-26 2018-10-26 北京万里红科技股份有限公司 It is a kind of without refer to definition of iris image detection method
CN108765314A (en) * 2018-05-02 2018-11-06 深圳供电局有限公司 A kind of image defogging method containing high-brightness region
CN109003273A (en) * 2018-07-27 2018-12-14 郑州工程技术学院 A kind of car light light guide consistency detecting method

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