CN111191495A - Material supplement platform based on signal analysis - Google Patents
Material supplement platform based on signal analysis Download PDFInfo
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- CN111191495A CN111191495A CN201910387711.1A CN201910387711A CN111191495A CN 111191495 A CN111191495 A CN 111191495A CN 201910387711 A CN201910387711 A CN 201910387711A CN 111191495 A CN111191495 A CN 111191495A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 33
- 239000000463 material Substances 0.000 title claims abstract description 31
- 239000013589 supplement Substances 0.000 title abstract description 13
- 238000001914 filtration Methods 0.000 claims abstract description 70
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims abstract description 46
- 229910052799 carbon Inorganic materials 0.000 claims abstract description 46
- 235000021168 barbecue Nutrition 0.000 claims abstract description 30
- 238000001514 detection method Methods 0.000 claims abstract description 15
- 239000003610 charcoal Substances 0.000 claims abstract description 10
- 238000003384 imaging method Methods 0.000 claims abstract description 5
- 238000012545 processing Methods 0.000 claims description 26
- 238000000605 extraction Methods 0.000 claims description 11
- 230000000903 blocking effect Effects 0.000 claims description 10
- 238000000034 method Methods 0.000 claims description 9
- 238000012937 correction Methods 0.000 claims description 6
- 230000003068 static effect Effects 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 5
- 235000013305 food Nutrition 0.000 claims description 3
- 238000003707 image sharpening Methods 0.000 claims description 3
- 235000020061 kirsch Nutrition 0.000 claims description 3
- 238000012986 modification Methods 0.000 claims description 3
- 230000004048 modification Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 2
- 238000012163 sequencing technique Methods 0.000 claims description 2
- 238000012360 testing method Methods 0.000 abstract description 2
- 230000000875 corresponding effect Effects 0.000 description 14
- 230000003287 optical effect Effects 0.000 description 5
- 230000000007 visual effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 241000282461 Canis lupus Species 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 210000005069 ears Anatomy 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
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- 238000007781 pre-processing Methods 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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Abstract
The invention relates to a material supplement platform based on signal analysis, which comprises: the charcoal pushing equipment is used for pushing corresponding quantity of charcoal into the barbecue box based on the difference value of the reference quantity and the preset quantity threshold value when the reference quantity is smaller than the preset quantity threshold value; and the secondary detection equipment is used for extracting each image area where each carbon body subsection is located from the homomorphic filtering image based on the carbon body imaging characteristics, and outputting the number of each carbon body as a reference number. The material supplement platform based on signal analysis is convenient and practical and has a compact structure. Because the scene that the carbon body is difficult to distinguish is caused to local image area quality not good, adopted secondary carbon body detection mode in order to promote the carbon body and distinguish the precision, still whether carry out the automatic propelling movement of carbon body based on the testing result of the carbon body quantity in the barbecue box decision to the condition emergence of hand pollution is caused in the manual work increase of carbon is avoided.
Description
Technical Field
The invention relates to the field of signal analysis, in particular to a material supplement platform based on signal analysis.
Background
A signal is a physical quantity representing a message, e.g. an electrical signal may represent different messages by variations in amplitude, frequency, phase. Such electrical signals are classified into analog signals and digital signals. The signal is a vehicle for carrying the message and is a carrier of the message. In a broad sense it encompasses optical, acoustic, electrical and the like. The signals are distinguished according to actual purposes, and comprise television signals, broadcast signals, radar signals, communication signals and the like; there are deterministic signals and stochastic signals, etc., distinguished by their temporal characteristics.
The signal is a vehicle for carrying the message and is a carrier of the message. In a broad sense it encompasses optical, acoustic, electrical and the like. For example, ancient people transmitted enemy intrusion messages to remote army by using the rolling wolf smoke generated by igniting the beacon tower, which belongs to optical signals; when we speak, sound waves are transmitted to the ears of other people, so that the other people know the intention of the people, and the sound waves belong to sound signals; various radio waves traveling into space, electric currents in the telephone network of the four-way eights, etc., can be used to convey various messages, which are electrical signals, to a remote location. People only know the message that the other party wants to express by receiving optical, acoustic and electric signals.
Disclosure of Invention
The invention has the following two key points:
(1) aiming at the scene that the carbon body is difficult to distinguish due to poor quality of a local image area, a secondary carbon body detection mode is adopted to improve the carbon body distinguishing precision, and meanwhile, whether the carbon body automatic pushing action is executed or not is determined based on the detection result of the number of the carbon bodies in the barbecue box, so that the condition that the hands are polluted due to manual carbon adding is avoided;
(2) on the basis of executing wiener filtering on the image, only the edge of each splicing pattern of the detected target in the filtered image is subjected to image sharpening processing based on the Kirsch operator, so that unnecessary occupation of operation resources by image content processing is reduced.
According to an aspect of the present invention, there is provided a material replenishment platform based on signal analysis, the platform comprising: and the carbon body pushing equipment is used for pushing the corresponding number of carbon bodies into the barbecue box based on the difference value of the reference number and the preset number threshold value when the received reference number is smaller than the preset number threshold value.
More specifically, in the signal analysis-based material replenishment platform: the carbon body pushing equipment consists of a mechanical arm, a permanent magnet brushless motor, a weight detector and a counter.
More specifically, in the signal analysis-based material replenishment platform: the charcoal pushing equipment is further used for stopping pushing the charcoal into the barbecue box when the received reference quantity is not less than a preset quantity threshold value.
More specifically, in the signal analysis-based material replenishment platform, the platform further comprises: the secondary detection equipment is respectively connected with the carbon body pushing equipment and the homomorphic filtering equipment and is used for extracting each image area where each carbon body subsection is located from the homomorphic filtering image based on the carbon body imaging characteristics and outputting the number of each carbon body as a reference number; the miniature acquisition equipment is embedded in the inner side surface of the barbecue box and used for executing image data acquisition action on the interior of the barbecue box so as to obtain and output an image in the box body, and a barbecue grid is erected above the barbecue box so as to place barbecue food; and the directional blurring equipment is connected with the miniature acquisition equipment and is used for performing blurring processing on image areas outside the areas where the objects in the image in the box body are located so as to obtain and output a directional blurring image.
The material supplement platform based on signal analysis is convenient and practical and has a compact structure. Because the scene that the carbon body is difficult to distinguish is caused to local image area quality not good, adopted secondary carbon body detection mode in order to promote the carbon body and distinguish the precision, still whether carry out the automatic propelling movement of carbon body based on the testing result of the carbon body quantity in the barbecue box decision to the condition emergence of hand pollution is caused in the manual work increase of carbon is avoided.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural view of a barbecue box to which a material replenishment platform based on signal analysis is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of the signal analysis-based material replenishment platform of the present invention will be described in detail below with reference to the accompanying drawings.
The image is the basis of human vision, is the objective reflection of natural scenes, and is an important source for human to know the world and human. The "picture" is the distribution of reflected or transmitted light from an object, the "image" is the impression or recognition of a picture received by the human visual system in the human brain, and photographs, paintings, clip art, maps, calligraphy works, handwritten chinese characters, facsimiles, satellite clouds, movie and television pictures, X-rays, electroencephalograms, electrocardiograms, and the like are images.
Images are a kind of similarity, vivid description or portrayal of objective objects, and are the most commonly used information carriers in human social activities. Or image, is a representation of an objective object that contains information about the object being described. It is the most important source of information for people. Statistically, about 75% of the information one obtains comes from vision.
In a broad sense, an image is a picture with visual effects, and includes: on paper media, on film or photographs, on television, projector, or computer screens. Images can be classified into two categories according to different image recording modes: analog images and digital images. Analog images can record image brightness information through the change of intensity of some physical quantity (such as light, electricity and the like), such as analog television images; digital images are obtained by recording the brightness information of each point on the image by using data stored in a computer.
At present, a barbecue box for the barbecue is in semi-closed structure, and people carry out the charcoal body and supply the loaded down with trivial details operation of need execution to can not avoid bringing the hand pollution, also influence normal barbecue process, simultaneously, the demarcation between each charcoal body under the combustion state is more fuzzy, and the precision of artificial naked eye detection mode is not high.
In order to overcome the defects, the invention builds a material supplement platform based on signal analysis, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic structural view of a barbecue box to which a material replenishment platform based on signal analysis is applied according to an embodiment of the present invention.
A signal analysis based material replenishment platform shown according to an embodiment of the present invention comprises:
and the carbon body pushing equipment is used for pushing the corresponding number of carbon bodies into the barbecue box based on the difference value of the reference number and the preset number threshold value when the received reference number is smaller than the preset number threshold value.
Next, the detailed structure of the material supplement platform based on signal analysis according to the present invention will be further described.
In the signal analysis-based material replenishment platform:
the carbon body pushing equipment consists of a mechanical arm, a permanent magnet brushless motor, a weight detector and a counter.
In the signal analysis-based material replenishment platform:
the charcoal pushing equipment is further used for stopping pushing the charcoal into the barbecue box when the received reference quantity is not less than a preset quantity threshold value.
The material supplement platform based on signal analysis can further comprise:
the secondary detection equipment is respectively connected with the carbon body pushing equipment and the homomorphic filtering equipment and is used for extracting each image area where each carbon body subsection is located from the homomorphic filtering image based on the carbon body imaging characteristics and outputting the number of each carbon body as a reference number;
the miniature acquisition equipment is embedded in the inner side surface of the barbecue box and used for executing image data acquisition action on the interior of the barbecue box so as to obtain and output an image in the box body, and a barbecue grid is erected above the barbecue box so as to place barbecue food;
the directional blurring device is connected with the miniature acquisition device and is used for performing blurring processing on image areas outside the areas where the objects in the image in the box body are located so as to obtain and output a directional blurring image;
the wiener filtering equipment is connected with the directional blurring equipment and is used for receiving the directional blurring image and executing wiener filtering processing on the directional blurring image to obtain and output a corresponding wiener filtering image;
the pattern extraction equipment is connected with the wiener filtering equipment and used for receiving a wiener filtering image, performing average blocking processing on the wiener filtering image according to the preset blocking size to obtain each image block, performing carbon body segmentation processing based on a corresponding carbon body segmentation threshold value on each image block to obtain corresponding subdivided blocks, and splicing the subdivided blocks of all the image blocks to obtain each spliced pattern;
the operator sharpening device is connected with the pattern splicing device and is used for carrying out image sharpening processing based on a Kirsch operator on each edge of each spliced pattern in the wiener filtering image so as to obtain and output an operator sharpened image corresponding to the wiener filtering image;
the box-type filtering device is connected with the operator sharpening device and is used for receiving the operator sharpened image and executing box-type filtering processing on the operator sharpened image so as to obtain and output a corresponding box-type filtering image;
the homomorphic filtering equipment is connected with the box type filtering equipment and is used for receiving the box type filtering image and executing homomorphic filtering processing on the box type filtering image so as to obtain and output a corresponding homomorphic filtering image;
the clock supply device is respectively connected with the operator sharpening device, the box type filtering device and the homomorphic filtering device and is used for respectively providing different reference clock signals for the operator sharpening device, the box type filtering device and the homomorphic filtering device;
wherein, in the pattern extraction device, a preset block that performs an average blocking process on the wiener filtered image is in the shape of a square;
wherein, in the pattern extraction apparatus, the smaller the signal-to-noise ratio of the wiener filter image, the larger the preset blocking that performs the average blocking process on the wiener filter image.
The material supplement platform based on signal analysis can further comprise:
and the noise type detection device is connected with the homomorphic filtering device and used for receiving the homomorphic filtering image and analyzing the noise type of the homomorphic filtering image so as to obtain various noise types in the homomorphic filtering image and the maximum amplitude corresponding to each noise type.
The material supplement platform based on signal analysis can further comprise:
and the noise amplitude measuring equipment is connected with the noise type detecting equipment and used for receiving various noise types in the homomorphic filtering image and the maximum amplitude corresponding to each noise type, sequencing the various noise types based on the sequence from large to small of the maximum amplitude, and outputting three noise types with the first three sequence numbers as three to-be-processed noise types.
The material supplement platform based on signal analysis can further comprise:
the static storage device is used for pre-storing a type weight comparison table, wherein the type weight comparison table stores the influence weight of each noise type on the binarization threshold value and is also used for pre-storing an initialization binarization threshold value;
the initial value extraction device is connected with the static storage device and is used for acquiring the initialized binary threshold value;
and the initial value correction device is respectively connected with the initial value extraction device and the noise amplitude measurement device and is used for receiving the three types of noises to be processed, determining three influence weights respectively corresponding to the three types of noises to be processed based on the type weight comparison table, and sequentially correcting the initialized binary threshold value by adopting the three influence weights so as to obtain a corrected threshold value after the correction processing is finished and outputting the corrected threshold value.
The material supplement platform based on signal analysis can further comprise:
the threshold value execution device is connected with the initial value correction device, and is used for performing binarization processing on the homomorphic filtering image by adopting the corrected threshold value so as to obtain a processed image and outputting the processed image;
the recursive filtering device is respectively connected with the secondary detection device and the threshold execution device and is used for receiving the processed image, executing recursive filtering processing on the processed image to obtain a corresponding filtered image, and replacing the homomorphic filtered image with the filtered image and sending the filtered image to the secondary detection device;
the static storage device is further connected to the initial value modification device and the threshold execution device, respectively, and is configured to store the modified threshold.
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 isolated pixels or blocks of pixels on the image that cause 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 image filtering modes is a non-linear filter, generally speaking, when the signal spectrum and the noise spectrum are mixed or when the signal contains non-superimposed noise, such as noise caused by system nonlinearity or the presence of non-gaussian noise, etc.), the conventional linear filtering techniques, such as fourier transform, while filtering out noise, always blur the image details (such as edges, etc.) in some way, 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.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A material replenishment platform based on signal analysis, the platform comprising:
and the carbon body pushing equipment is used for pushing the corresponding number of carbon bodies into the barbecue box based on the difference value of the reference number and the preset number threshold value when the received reference number is smaller than the preset number threshold value.
2. The signal analysis-based material replenishment platform of claim 1, wherein:
the carbon body pushing equipment consists of a mechanical arm, a permanent magnet brushless motor, a weight detector and a counter.
3. The signal analysis-based material replenishment platform of claim 2, wherein:
the charcoal pushing equipment is further used for stopping pushing the charcoal into the barbecue box when the received reference quantity is not less than a preset quantity threshold value.
4. The signal analysis-based material replenishment platform of claim 3, wherein the platform further comprises:
the secondary detection equipment is respectively connected with the carbon body pushing equipment and the homomorphic filtering equipment and is used for extracting each image area where each carbon body subsection is located from the homomorphic filtering image based on the carbon body imaging characteristics and outputting the number of each carbon body as a reference number;
the miniature acquisition equipment is embedded in the inner side surface of the barbecue box and used for executing image data acquisition action on the interior of the barbecue box so as to obtain and output an image in the box body, and a barbecue grid is erected above the barbecue box so as to place barbecue food;
the directional blurring device is connected with the miniature acquisition device and is used for performing blurring processing on image areas outside the areas where the objects in the image in the box body are located so as to obtain and output a directional blurring image;
the wiener filtering equipment is connected with the directional blurring equipment and is used for receiving the directional blurring image and executing wiener filtering processing on the directional blurring image to obtain and output a corresponding wiener filtering image;
the pattern extraction equipment is connected with the wiener filtering equipment and used for receiving a wiener filtering image, performing average blocking processing on the wiener filtering image according to the preset blocking size to obtain each image block, performing carbon body segmentation processing based on a corresponding carbon body segmentation threshold value on each image block to obtain corresponding subdivided blocks, and splicing the subdivided blocks of all the image blocks to obtain each spliced pattern;
the operator sharpening device is connected with the pattern splicing device and is used for carrying out image sharpening processing based on a Kirsch operator on each edge of each spliced pattern in the wiener filtering image so as to obtain and output an operator sharpened image corresponding to the wiener filtering image;
the box-type filtering device is connected with the operator sharpening device and is used for receiving the operator sharpened image and executing box-type filtering processing on the operator sharpened image so as to obtain and output a corresponding box-type filtering image;
the homomorphic filtering equipment is connected with the box type filtering equipment and is used for receiving the box type filtering image and executing homomorphic filtering processing on the box type filtering image so as to obtain and output a corresponding homomorphic filtering image;
the clock supply device is respectively connected with the operator sharpening device, the box type filtering device and the homomorphic filtering device and is used for respectively providing different reference clock signals for the operator sharpening device, the box type filtering device and the homomorphic filtering device;
wherein, in the pattern extraction device, a preset block that performs an average blocking process on the wiener filtered image is in the shape of a square;
wherein, in the pattern extraction apparatus, the smaller the signal-to-noise ratio of the wiener filter image, the larger the preset blocking that performs the average blocking process on the wiener filter image.
5. The signal analysis-based material replenishment platform of claim 4, wherein the platform further comprises:
and the noise type detection device is connected with the homomorphic filtering device and used for receiving the homomorphic filtering image and analyzing the noise type of the homomorphic filtering image so as to obtain various noise types in the homomorphic filtering image and the maximum amplitude corresponding to each noise type.
6. The signal analysis-based material replenishment platform of claim 5, wherein the platform further comprises:
and the noise amplitude measuring equipment is connected with the noise type detecting equipment and used for receiving various noise types in the homomorphic filtering image and the maximum amplitude corresponding to each noise type, sequencing the various noise types based on the sequence from large to small of the maximum amplitude, and outputting three noise types with the first three sequence numbers as three to-be-processed noise types.
7. The signal analysis-based material replenishment platform of claim 6, wherein the platform further comprises:
the static storage device is used for pre-storing a type weight comparison table, wherein the type weight comparison table stores the influence weight of each noise type on the binarization threshold value and is also used for pre-storing an initialization binarization threshold value;
the initial value extraction device is connected with the static storage device and is used for acquiring the initialized binary threshold value;
and the initial value correction device is respectively connected with the initial value extraction device and the noise amplitude measurement device and is used for receiving the three types of noises to be processed, determining three influence weights respectively corresponding to the three types of noises to be processed based on the type weight comparison table, and sequentially correcting the initialized binary threshold value by adopting the three influence weights so as to obtain a corrected threshold value after the correction processing is finished and outputting the corrected threshold value.
8. The signal analysis-based material replenishment platform of claim 7, wherein the platform further comprises:
the threshold value execution device is connected with the initial value correction device, and is used for performing binarization processing on the homomorphic filtering image by adopting the corrected threshold value so as to obtain a processed image and outputting the processed image;
the recursive filtering device is respectively connected with the secondary detection device and the threshold execution device and is used for receiving the processed image, executing recursive filtering processing on the processed image to obtain a corresponding filtered image, and replacing the homomorphic filtered image with the filtered image and sending the filtered image to the secondary detection device;
the static storage device is further connected to the initial value modification device and the threshold execution device, respectively, and is configured to store the modified threshold.
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| CN111821645A (en) * | 2020-06-14 | 2020-10-27 | 于刚 | Trampoline safety protection platform and method |
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