CN105068145A - Sharpness analyzing platform for image of human body - Google Patents
Sharpness analyzing platform for image of human body Download PDFInfo
- Publication number
- CN105068145A CN105068145A CN201510439935.4A CN201510439935A CN105068145A CN 105068145 A CN105068145 A CN 105068145A CN 201510439935 A CN201510439935 A CN 201510439935A CN 105068145 A CN105068145 A CN 105068145A
- Authority
- CN
- China
- Prior art keywords
- subset
- human body
- image
- sharpening
- background
- 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.)
- Withdrawn
Links
Landscapes
- Image Processing (AREA)
Abstract
The invention relates to a sharpness analyzing platform for the image of a human body, which comprises a submersible main body, sharpness identification equipment and digital signal processing equipment. The sharpness identification equipment and the digital signal processing equipment are arranged on the submersible main body. The sharpness identification equipment is used for conducting the sharpness treatment on underwater images and detecting the existence of a human body under the water. The digital signal processing equipment is connected with the sharpness identification equipment and is used for processing the related information of the human body upon detecting the existence of the human body and then transmitting the processing result over the water. By means of the sharpness analyzing platform, the sharpness treatment on underwater images can be conducted. Meanwhile, the related information of the underwater human body can be automatically obtained, so that the accuracy of the underwater searching and rescuing operation is improved.
Description
Technical field
The present invention relates to image processing field, particularly relate to a kind of human body image sharpening analysis platform.
Background technology
When accident occurs on the water, the first thing of the task of top priority searches for personnel under water, effectively succour with the very first time, but, underwater environment is complicated, and search light easily causes light scattering under water, brings larger interference to reseaching staff or search equipment, if use the mode of manual search, search time is limited and easily bring injures and deaths to reseaching staff.
For this reason, the present invention proposes a kind of human body image sharpening analysis platform, substitute manual search mode in the mode of machine search, and all parts can adapt to underwater environment, and have employed the Sharp processing of image mechanism of scattered light, thus personnel under water detected efficiently and accurately.
Summary of the invention
In order to solve the technical matters that prior art exists, the invention provides a kind of human body image sharpening analysis platform, underwater vehicle is adopted to carry out people search under automatic water, use with the high-precision image processing equipment removing scattered light, and transform existing equipment, underwater environment when making all parts, thus efficient, the automatic search and the location that realize human body under water.
According to an aspect of the present invention, provide a kind of human body image sharpening analysis platform, described analysis platform comprises underwater vehicle main body, sharpening identification equipment and digital signal processing appts, described sharpening identification equipment and described digital signal processing appts are all positioned in described underwater vehicle main body, described sharpening identification equipment is used for performing sharpening process to underwater picture, and detect whether there is human body under water, described digital signal processing appts is connected with described sharpening identification equipment, for processing human body relevant information when determining to there is human body, and result is sent to waterborne.
More specifically, in described human body image sharpening analysis platform, also comprise: Underwater Camera, comprise semisphere watertight transparent cover, floor light subset, CCD vision sensor and ultrasonic ranging subset, described semisphere watertight transparent cover is for holding described floor light subset and described CCD vision sensor, described ultrasonic ranging subset is for measuring the distance of described underwater vehicle main body distance front human body, and to adjust the distance output as first-phase, described floor light subset provides floor light for the underwater photograph technical of described CCD vision sensor, described CCD vision sensor comprises the underwater picture of objects ahead with acquisition to objects ahead shooting, described underwater vehicle main body comprises support, left pressure gram transparent tube, right pressure gram transparent tube, connecting hoop, storage platform, mechanical arm, mechanical arm, water proof sealing bore, transverse propeller, vertical screw propeller, longitudinal spiral oar and three direct current generators, described support is used for described underwater vehicle main body to be fixed under water, described connecting hoop is fixedly connected with described support, described storage platform is connected with described connecting hoop respectively with described mechanical arm, described mechanical arm is connected with described mechanical arm, the forearm that described mechanical arm comprises large arm and is connected with large arm, described three direct current generators drive described transverse propeller respectively, described vertical screw propeller and described longitudinal spiral oar, with the rotating by screw propeller, for underwater vehicle main body provides the thrust power of 6 degree of freedom, portable hard drive, has prestored the humanoid masterplate of gray processing, and the humanoid masterplate of described gray processing obtains for taking obtained human body image execution gray processing process to benchmark human body, buoy waterborne, is arranged on the top water surface of described underwater vehicle main body, power-supply unit, be arranged on described buoy waterborne, comprise waterproof sealing cover, solar powered device, accumulator, change-over switch and electric pressure converter, described waterproof sealing cover is for holding described solar powered device, described accumulator, described change-over switch and described electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, dump energy according to accumulator determines whether be switched to described solar powered device to be powered by described solar powered device, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage, the Big Dipper positioning equipment, is arranged on described buoy waterborne, provides electric power supply by described power-supply unit, for receiving the Big Dipper locator data that the Big Dipper satellite sends, sonar detection equipment, is arranged on described buoy waterborne, provides electric power supply by described power-supply unit, for detecting the relative distance of described underwater vehicle main body to described buoy waterborne, and to adjust the distance output as second-phase, described sharpening identification equipment comprises gray processing process subset, Iamge Segmentation subset, background estimating subset, background elevator equipment, scattered light filtering subset and target recognin equipment, described gray processing process subset is connected with described CCD vision sensor, for performing gray processing process to obtain gray processing underwater picture to described underwater picture, described Iamge Segmentation subset is connected with described gray processing process subset, and the resolution based on described gray processing underwater picture carries out piecemeal to described gray processing underwater picture adaptively, to obtain each block image, described background estimating subset is connected with described Iamge Segmentation subset, background estimating process is performed to each block image: the gray-scale value based on each pixel of each block image calculates the average gray of each block image, using the background gray levels of the average gray of acquisition as calculated block image, described background elevator equipment is connected with described background estimating subset, the gray-scale value of each pixel of each block image being deducted background gray levels corresponding to this block image with what obtain each block image goes background grayscale sub-image, and the background grayscale sub-image of going of all block images is merged form background stripping image, described scattered light filtering subset is connected respectively with described background elevator equipment, described ultrasonic ranging subset and described floor light subset, adjust the distance and described floor light brightness to obtain described second-phase, and the scattered light composition removed with described floor light brightness and formed on objects ahead because floor light subset irradiates in described background stripping image of adjusting the distance based on described second-phase, peel off image to obtain sharpening background, described target recognin equipment is connected with described scattered light filtering subset and described portable hard drive, described sharpening background is peeled off image and the humanoid stencil matching of gray processing, the match is successful, then send human body and obtain signal, split by described scattered light filtering subset by the human body subimage matched and export, match cognization, then send without human body signal, described digital signal processing appts and described Underwater Camera, described the Big Dipper positioning equipment, described sonar detection equipment, described ultrasonic ranging subset, described sharpening identification equipment is connected respectively with described three direct current generators, for monitoring the duty of described three direct current generators, also for when receiving described human body and obtaining signal, start described the Big Dipper positioning equipment, described sonar detection equipment, described ultrasonic ranging subset is to receive described the Big Dipper locator data, described second-phase is adjusted the distance and described first-phase is adjusted the distance, based on described the Big Dipper locator data, described second-phase is adjusted the distance and described first-phase is adjusted the distance calculates and exports human body locator data, and by cable by described underwater picture, described sharpening background peels off image and described human body locator data is transferred to bank base treatment facility, described digital signal processing appts receive described without human body signal time, close described the Big Dipper positioning equipment, described sonar detection equipment, described ultrasonic ranging subset, wherein, described bank base treatment facility is positioned at water craft or position, bank, is connected with described digital signal processing appts by cable.
More specifically, in described human body image sharpening analysis platform: described digital signal processing appts is the DSP process chip of TI company.
More specifically, in described human body image sharpening analysis platform: described gray processing process subset, described Iamge Segmentation subset, described background estimating subset, described background elevator equipment, described scattered light filtering subset and described target recognin integration of equipments are on one piece of surface-mounted integrated circuit.
More specifically, in described human body image sharpening analysis platform: described digital signal processing appts also monitors self resource occupation number percent in real time.
More specifically, in described human body image sharpening analysis platform: when described digital signal processing appts is less than predetermined percentage threshold at the resource occupation number percent of self, all operations of described background estimating subset is replaced.
More specifically, in described human body image sharpening analysis platform: when described digital signal processing appts is more than or equal to predetermined percentage threshold at the resource occupation number percent of self, the replacement of all operations to described background estimating subset is exited.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of the human body image sharpening analysis platform illustrated according to an embodiment of the present invention.
Reference numeral: 1 digital signal processing appts; 2 underwater vehicle main bodys; 3 sharpening identification equipments
Embodiment
Below with reference to accompanying drawings the embodiment of human body image sharpening analysis platform of the present invention is described in detail.
Along with the development of water tourism cause, take river steamer or the riverine or coastal tourism of seagoing vessel has become a kind of tourism trend, but, travel on the water, due to aquatic environment complicacy and be easily subject to weather effect, overwater accident has not occurred then, once occurring easily to cause a serious accident.
When having an accident, the people fallen in water are very large by the possibility of being drowned, the validity of rescue often depends on how within the shortest time, to find personnel under water, but, underwater environment is complicated, and the lighting source of rescue worker or rescue aid easily causes light scattering, comes to rescue belts under water inconvenient, meanwhile, the mode of manual rescue is used also may to cause the personal injury of rescue worker.
In order to overcome above-mentioned deficiency, the present invention has built a kind of human body image sharpening analysis platform, the equipment of search human body is arranged on underwater vehicle, employing machine is searched for, and be equipped with sharpening image processing equipment and High-precision human identification equipment, improve the efficiency of human body search, avoiding wasting search time, in the hope of saving the life of persons falling in water most possibly.
Fig. 1 is the block diagram of the human body image sharpening analysis platform illustrated according to an embodiment of the present invention, described analysis platform comprises underwater vehicle main body, sharpening identification equipment and digital signal processing appts, described sharpening identification equipment and described digital signal processing appts are all positioned in described underwater vehicle main body, described sharpening identification equipment is used for performing sharpening process to underwater picture, and detect whether there is human body under water, described digital signal processing appts is connected with described sharpening identification equipment, for processing human body relevant information when determining to there is human body, and result is sent to waterborne.
Then, continue to be further detailed the concrete structure of human body image sharpening analysis platform of the present invention.
Described analysis platform also comprises: Underwater Camera, comprise semisphere watertight transparent cover, floor light subset, CCD vision sensor and ultrasonic ranging subset, described semisphere watertight transparent cover is for holding described floor light subset and described CCD vision sensor, described ultrasonic ranging subset is for measuring the distance of described underwater vehicle main body distance front human body, and to adjust the distance output as first-phase, described floor light subset provides floor light for the underwater photograph technical of described CCD vision sensor, described CCD vision sensor comprises the underwater picture of objects ahead with acquisition to objects ahead shooting.
Described underwater vehicle main body comprises support, left pressure gram transparent tube, right pressure gram transparent tube, connecting hoop, storage platform, mechanical arm, mechanical arm, water proof sealing bore, transverse propeller, vertical screw propeller, longitudinal spiral oar and three direct current generators, described support is used for described underwater vehicle main body to be fixed under water, described connecting hoop is fixedly connected with described support, described storage platform is connected with described connecting hoop respectively with described mechanical arm, described mechanical arm is connected with described mechanical arm, the forearm that described mechanical arm comprises large arm and is connected with large arm, described three direct current generators drive described transverse propeller respectively, described vertical screw propeller and described longitudinal spiral oar, with the rotating by screw propeller, for underwater vehicle main body provides the thrust power of 6 degree of freedom.
Described analysis platform also comprises: portable hard drive, has prestored the humanoid masterplate of gray processing, and the humanoid masterplate of described gray processing obtains for taking obtained human body image execution gray processing process to benchmark human body; Buoy waterborne, is arranged on the top water surface of described underwater vehicle main body.
Described analysis platform also comprises: power-supply unit, be arranged on described buoy waterborne, comprise waterproof sealing cover, solar powered device, accumulator, change-over switch and electric pressure converter, described waterproof sealing cover is for holding described solar powered device, described accumulator, described change-over switch and described electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, dump energy according to accumulator determines whether be switched to described solar powered device to be powered by described solar powered device, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage.
Described analysis platform also comprises: the Big Dipper positioning equipment, is arranged on described buoy waterborne, provides electric power supply by described power-supply unit, for receiving the Big Dipper locator data that the Big Dipper satellite sends.
Described analysis platform also comprises: sonar detection equipment, is arranged on described buoy waterborne, provides electric power supply by described power-supply unit, for detecting the relative distance of described underwater vehicle main body to described buoy waterborne, and to adjust the distance output as second-phase.
Described sharpening identification equipment comprises gray processing process subset, Iamge Segmentation subset, background estimating subset, background elevator equipment, scattered light filtering subset and target recognin equipment; Described gray processing process subset is connected with described CCD vision sensor, for performing gray processing process to obtain gray processing underwater picture to described underwater picture; Described Iamge Segmentation subset is connected with described gray processing process subset, and the resolution based on described gray processing underwater picture carries out piecemeal to described gray processing underwater picture adaptively, to obtain each block image; Described background estimating subset is connected with described Iamge Segmentation subset, background estimating process is performed to each block image: the gray-scale value based on each pixel of each block image calculates the average gray of each block image, using the background gray levels of the average gray of acquisition as calculated block image; Described background elevator equipment is connected with described background estimating subset, the gray-scale value of each pixel of each block image being deducted background gray levels corresponding to this block image with what obtain each block image goes background grayscale sub-image, and the background grayscale sub-image of going of all block images is merged form background stripping image; Described scattered light filtering subset is connected respectively with described background elevator equipment, described ultrasonic ranging subset and described floor light subset, adjust the distance and described floor light brightness to obtain described second-phase, and the scattered light composition removed with described floor light brightness and formed on objects ahead because floor light subset irradiates in described background stripping image of adjusting the distance based on described second-phase, peel off image to obtain sharpening background; Described target recognin equipment is connected with described scattered light filtering subset and described portable hard drive, described sharpening background is peeled off image and the humanoid stencil matching of gray processing, the match is successful, then send human body and obtain signal, split by described scattered light filtering subset by the human body subimage matched and export, match cognization, then send without human body signal.
Described digital signal processing appts and described Underwater Camera, described the Big Dipper positioning equipment, described sonar detection equipment, described ultrasonic ranging subset, described sharpening identification equipment is connected respectively with described three direct current generators, for monitoring the duty of described three direct current generators, also for when receiving described human body and obtaining signal, start described the Big Dipper positioning equipment, described sonar detection equipment, described ultrasonic ranging subset is to receive described the Big Dipper locator data, described second-phase is adjusted the distance and described first-phase is adjusted the distance, based on described the Big Dipper locator data, described second-phase is adjusted the distance and described first-phase is adjusted the distance calculates and exports human body locator data, and by cable by described underwater picture, described sharpening background peels off image and described human body locator data is transferred to bank base treatment facility, described digital signal processing appts receive described without human body signal time, close described the Big Dipper positioning equipment, described sonar detection equipment, described ultrasonic ranging subset.
Wherein, described bank base treatment facility is positioned at water craft or position, bank, is connected with described digital signal processing appts by cable.
Alternatively, described digital signal processing appts is the DSP process chip of TI company; Described gray processing process subset, described Iamge Segmentation subset, described background estimating subset, described background elevator equipment, described scattered light filtering subset and described target recognin integration of equipments are on one piece of surface-mounted integrated circuit; Described digital signal processing appts also monitors self resource occupation number percent in real time; Described digital signal processing appts, when the resource occupation number percent of self is less than predetermined percentage threshold, replaces all operations of described background estimating subset; Described digital signal processing appts, when the resource occupation number percent of self is more than or equal to predetermined percentage threshold, exits the replacement of all operations to described background estimating subset.
In addition, cmos sensor also can be subdivided into passive type element sensor (PassivePixelSensorCMOS) and active pixel sensor (ActivePixelSensorCMOS).
Passive type element sensor (PassivePixelSensor is called for short PPS), be again passive type element sensor, he is made up of a back-biased photodiode and a switching tube.Photodiode is a PN junction be made up of P-type semiconductor and N-type semiconductor in essence, and he can be equivalent to a back-biased diode and a mos capacitance parallel connection.When switching tube is opened, photodiode is communicated with vertical alignment (Columnbus).The charge integration amplifier sensing circuit (Chargeintegratingamplifier) being positioned at alignment end keeps column line voltage to be a constant, when the signal charge of photodiode storage is read out, its voltage is reset to column line voltage level, meanwhile, the electric charge be directly proportional to light signal is converted to electric charge by charge integration amplifier and exports.
Active pixel sensor (ActivePixelSensor is called for short APS), is again active element sensor.Almost while the invention of CMOSPPS dot structure, people recognize very soon in pixel, to introduce the performance that impact damper or amplifier can improve pixel, have the amplifier of oneself in CMOSAPS in each pixel.The amplifier transistor being integrated in surface decreases the effective surface area of pixel element, reduces " packaging density ", the incident light of 40% ~ 50% is reflected.Another problem of this sensor is, how to make there is good coupling between the multichannel amplifier of sensor, and this can be realized preferably by the fixed pattern noise reducing residual level.Because each amplifier in CMOSAPS pixel is only excited, so the power dissipation ratio ccd image sensor of CMOSAPS is also little during this reads.
Adopt human body image sharpening analysis platform of the present invention; for searching under water in prior art, difficulty is large, scattered light disturbs strong technical matters; underwater vehicle is adopted to be platform carrier; substitute manual search mode to protect reseaching staff's safety; adopt high precision, go the image processing equipment of scattered light accurately to identify personnel under water and locate; thus, shorten rescue period, for the survival of the personnel that meet with misfortune increases probability under water.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (7)
1. a human body image sharpening analysis platform, described analysis platform comprises underwater vehicle main body, sharpening identification equipment and digital signal processing appts, described sharpening identification equipment and described digital signal processing appts are all positioned in described underwater vehicle main body, described sharpening identification equipment is used for performing sharpening process to underwater picture, and detect whether there is human body under water, described digital signal processing appts is connected with described sharpening identification equipment, for processing human body relevant information when determining to there is human body, and result is sent to waterborne.
2. human body image sharpening analysis platform as claimed in claim 1, it is characterized in that, described analysis platform also comprises:
Underwater Camera, comprise semisphere watertight transparent cover, floor light subset, CCD vision sensor and ultrasonic ranging subset, described semisphere watertight transparent cover is for holding described floor light subset and described CCD vision sensor, described ultrasonic ranging subset is for measuring the distance of described underwater vehicle main body distance front human body, and to adjust the distance output as first-phase, described floor light subset provides floor light for the underwater photograph technical of described CCD vision sensor, described CCD vision sensor comprises the underwater picture of objects ahead with acquisition to objects ahead shooting,
Described underwater vehicle main body comprises support, left pressure gram transparent tube, right pressure gram transparent tube, connecting hoop, storage platform, mechanical arm, mechanical arm, water proof sealing bore, transverse propeller, vertical screw propeller, longitudinal spiral oar and three direct current generators, described support is used for described underwater vehicle main body to be fixed under water, described connecting hoop is fixedly connected with described support, described storage platform is connected with described connecting hoop respectively with described mechanical arm, described mechanical arm is connected with described mechanical arm, the forearm that described mechanical arm comprises large arm and is connected with large arm, described three direct current generators drive described transverse propeller respectively, described vertical screw propeller and described longitudinal spiral oar, with the rotating by screw propeller, for underwater vehicle main body provides the thrust power of 6 degree of freedom,
Portable hard drive, has prestored the humanoid masterplate of gray processing, and the humanoid masterplate of described gray processing obtains for taking obtained human body image execution gray processing process to benchmark human body;
Buoy waterborne, is arranged on the top water surface of described underwater vehicle main body;
Power-supply unit, be arranged on described buoy waterborne, comprise waterproof sealing cover, solar powered device, accumulator, change-over switch and electric pressure converter, described waterproof sealing cover is for holding described solar powered device, described accumulator, described change-over switch and described electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, dump energy according to accumulator determines whether be switched to described solar powered device to be powered by described solar powered device, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage,
The Big Dipper positioning equipment, is arranged on described buoy waterborne, provides electric power supply by described power-supply unit, for receiving the Big Dipper locator data that the Big Dipper satellite sends;
Sonar detection equipment, is arranged on described buoy waterborne, provides electric power supply by described power-supply unit, for detecting the relative distance of described underwater vehicle main body to described buoy waterborne, and to adjust the distance output as second-phase;
Described sharpening identification equipment comprises gray processing process subset, Iamge Segmentation subset, background estimating subset, background elevator equipment, scattered light filtering subset and target recognin equipment; Described gray processing process subset is connected with described CCD vision sensor, for performing gray processing process to obtain gray processing underwater picture to described underwater picture; Described Iamge Segmentation subset is connected with described gray processing process subset, and the resolution based on described gray processing underwater picture carries out piecemeal to described gray processing underwater picture adaptively, to obtain each block image; Described background estimating subset is connected with described Iamge Segmentation subset, background estimating process is performed to each block image: the gray-scale value based on each pixel of each block image calculates the average gray of each block image, using the background gray levels of the average gray of acquisition as calculated block image; Described background elevator equipment is connected with described background estimating subset, the gray-scale value of each pixel of each block image being deducted background gray levels corresponding to this block image with what obtain each block image goes background grayscale sub-image, and the background grayscale sub-image of going of all block images is merged form background stripping image; Described scattered light filtering subset is connected respectively with described background elevator equipment, described ultrasonic ranging subset and described floor light subset, adjust the distance and described floor light brightness to obtain described second-phase, and the scattered light composition removed with described floor light brightness and formed on objects ahead because floor light subset irradiates in described background stripping image of adjusting the distance based on described second-phase, peel off image to obtain sharpening background; Described target recognin equipment is connected with described scattered light filtering subset and described portable hard drive, described sharpening background is peeled off image and the humanoid stencil matching of gray processing, the match is successful, then send human body and obtain signal, split by described scattered light filtering subset by the human body subimage matched and export, match cognization, then send without human body signal;
Described digital signal processing appts and described Underwater Camera, described the Big Dipper positioning equipment, described sonar detection equipment, described ultrasonic ranging subset, described sharpening identification equipment is connected respectively with described three direct current generators, for monitoring the duty of described three direct current generators, also for when receiving described human body and obtaining signal, start described the Big Dipper positioning equipment, described sonar detection equipment, described ultrasonic ranging subset is to receive described the Big Dipper locator data, described second-phase is adjusted the distance and described first-phase is adjusted the distance, based on described the Big Dipper locator data, described second-phase is adjusted the distance and described first-phase is adjusted the distance calculates and exports human body locator data, and by cable by described underwater picture, described sharpening background peels off image and described human body locator data is transferred to bank base treatment facility, described digital signal processing appts receive described without human body signal time, close described the Big Dipper positioning equipment, described sonar detection equipment, described ultrasonic ranging subset,
Wherein, described bank base treatment facility is positioned at water craft or position, bank, is connected with described digital signal processing appts by cable.
3. human body image sharpening analysis platform as claimed in claim 2, is characterized in that:
Described digital signal processing appts is the DSP process chip of TI company.
4. human body image sharpening analysis platform as claimed in claim 2, is characterized in that:
Described gray processing process subset, described Iamge Segmentation subset, described background estimating subset, described background elevator equipment, described scattered light filtering subset and described target recognin integration of equipments are on one piece of surface-mounted integrated circuit.
5. human body image sharpening analysis platform as claimed in claim 2, is characterized in that:
Described digital signal processing appts also monitors self resource occupation number percent in real time.
6. human body image sharpening analysis platform as claimed in claim 5, is characterized in that:
Described digital signal processing appts, when the resource occupation number percent of self is less than predetermined percentage threshold, replaces all operations of described background estimating subset.
7. human body image sharpening analysis platform as claimed in claim 5, is characterized in that:
Described digital signal processing appts, when the resource occupation number percent of self is more than or equal to predetermined percentage threshold, exits the replacement of all operations to described background estimating subset.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510439935.4A CN105068145A (en) | 2015-07-23 | 2015-07-23 | Sharpness analyzing platform for image of human body |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510439935.4A CN105068145A (en) | 2015-07-23 | 2015-07-23 | Sharpness analyzing platform for image of human body |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105068145A true CN105068145A (en) | 2015-11-18 |
Family
ID=54497560
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510439935.4A Withdrawn CN105068145A (en) | 2015-07-23 | 2015-07-23 | Sharpness analyzing platform for image of human body |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105068145A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107392933A (en) * | 2017-07-12 | 2017-11-24 | 维沃移动通信有限公司 | A kind of method and mobile terminal of image segmentation |
| CN109350118A (en) * | 2018-12-05 | 2019-02-19 | 宁波可凡电器有限公司 | Ultrasonic scanning aid in treatment mechanism |
| CN113537036A (en) * | 2021-07-12 | 2021-10-22 | 杭州华橙软件技术有限公司 | Human shape detection method, human shape detection equipment and storage medium |
-
2015
- 2015-07-23 CN CN201510439935.4A patent/CN105068145A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107392933A (en) * | 2017-07-12 | 2017-11-24 | 维沃移动通信有限公司 | A kind of method and mobile terminal of image segmentation |
| CN107392933B (en) * | 2017-07-12 | 2020-02-21 | 维沃移动通信有限公司 | Image segmentation method and mobile terminal |
| CN109350118A (en) * | 2018-12-05 | 2019-02-19 | 宁波可凡电器有限公司 | Ultrasonic scanning aid in treatment mechanism |
| CN109350118B (en) * | 2018-12-05 | 2021-04-20 | 深圳市迈捷生命科学有限公司 | Ultrasonic scanning auxiliary processing mechanism |
| CN113537036A (en) * | 2021-07-12 | 2021-10-22 | 杭州华橙软件技术有限公司 | Human shape detection method, human shape detection equipment and storage medium |
| CN113537036B (en) * | 2021-07-12 | 2024-02-02 | 杭州华橙软件技术有限公司 | Human shape detection method, device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105046232A (en) | Image processing based system for searching fish body at bottom of ship | |
| CN110244314B (en) | Low-slow small target detection and identification system and method | |
| CN105068145A (en) | Sharpness analyzing platform for image of human body | |
| KR101609723B1 (en) | Monitoring system of real timeocean current | |
| CN105007467B (en) | It is positioned at the human body search platform below hull bottom | |
| CN105005996B (en) | A kind of rock image sharpening analysis system for submersible | |
| KR20210099371A (en) | The method and System of Wave Observation Using Camera Module for Ocean Observation Buoy | |
| CN105069405A (en) | Sharpness analyzing method for image of human body | |
| CN105591316A (en) | Transmission line anti-interference system | |
| CN105095875A (en) | Method for detecting fishes under ship based on image filtering | |
| CN105160637A (en) | Image sharpening analysis method | |
| CN104954766A (en) | Searching method for human body below bottom of ship | |
| CN105035287A (en) | Underwater remain exploring method based on data communication | |
| CN105072395B (en) | A kind of diver's subaqueous rock preventing collision method based on data communication | |
| CN105893995A (en) | Children recognition system in elevator car | |
| CN105046228A (en) | Data communication based fish body identification method | |
| CN105527895A (en) | Transmission line monitoring platform | |
| CN105005979A (en) | Detection platform based on image filtering | |
| CN104996370A (en) | Underwater fish orientation capturing system based on data communication | |
| CN105059504A (en) | Portable diving equipment with scattered-light eliminating function | |
| CN105184769B (en) | Underwater installation defect recognition system based on sharpening image procossing | |
| CN105069417A (en) | Fish searching method based on image processing | |
| CN105109646A (en) | Underwater human body detecting method based on neural network identification | |
| CN105083502A (en) | Underwater corpse exploration system based on data communication | |
| CN105057848A (en) | Underwater welding joint search platform capable of improving image processing accuracy |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20151118 |