CN110853014B - Failure rate analysis device for cancer operating room - Google Patents
Failure rate analysis device for cancer operating room Download PDFInfo
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- CN110853014B CN110853014B CN201911099592.6A CN201911099592A CN110853014B CN 110853014 B CN110853014 B CN 110853014B CN 201911099592 A CN201911099592 A CN 201911099592A CN 110853014 B CN110853014 B CN 110853014B
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- 206010028980 Neoplasm Diseases 0.000 title claims abstract description 63
- 201000011510 cancer Diseases 0.000 title claims abstract description 63
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- 239000000919 ceramic Substances 0.000 claims description 41
- 238000012545 processing Methods 0.000 claims description 20
- 238000000034 method Methods 0.000 claims description 12
- 238000012937 correction Methods 0.000 claims description 9
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- 230000000007 visual effect Effects 0.000 abstract description 2
- 230000006378 damage Effects 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 208000027418 Wounds and injury Diseases 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
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- 230000015654 memory Effects 0.000 description 2
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- 238000004891 communication Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0008—Industrial image inspection checking presence/absence
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- G06T5/70—
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- G06T5/73—
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- G06T5/80—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
Abstract
The invention relates to a failure rate analysis device for a cancer operating room, which comprises: a top shooting camera device, which comprises a movable type cloud platform and can be arranged on the top of the cancer operating room to carry out shooting operation on the internal environment of the cancer operating room so as to obtain and output corresponding internal images of the cancer operating room; the fault notification device is used for receiving a fault rate, sending an integral replacement instruction when the fault rate exceeds a preset percentage threshold value, and sending a maintenance use instruction when the fault rate does not exceed the preset percentage threshold value; the fault notification equipment comprises an LED display screen arranged on the movable holder and a voice playing chip arranged on the movable holder. The failure rate analysis device for the cancer operating room is simple to operate and convenient to reference. Because the visual analysis mode is adopted to effectively detect the failure rate, the original rough manual detection mode is replaced, and the detection speed and precision are improved.
Description
Technical Field
The invention relates to the field of medical treatment, in particular to a failure rate analysis device for a cancer operating room.
Background
Cancer operating rooms are the place where cancer patients undergo surgery. The ceramic tile pasted in the operating room is damaged due to long use time, the surface has small crack gaps, the sticky tape and the like cannot be torn off, the cleanliness is great, and the requirement cannot be met. The tiles in cancer operating rooms are used more frequently and have the highest probability of failure. The damage of single or a small amount of ceramic tiles does not influence the whole use, if trade replaces, on the one hand influences the degree of adaptability with nearby ceramic tiles, and on the other hand has also increased hospital's economic burden, simultaneously, because to the insensitivity of characteristics such as colour, people's eye detection mode itself has certain roughness and limitation.
Disclosure of Invention
In order to solve the related problems in the prior art, the invention provides a failure rate analysis device for tiles in a cancer operating room, which can identify the number of failed tiles in the cancer operating room, further determine the failure rate of the tiles, and send out an overall replacement instruction to avoid inconvenience or injury to users caused by the tiles when the failure rate of the tiles exceeds a preset percentage threshold; the method comprises the steps of carrying out targeted identification on the ceramic tiles, ceramic tile cracks and fault ceramic tiles by adopting an image detection mechanism, and providing basic data for judging the fault rate of the ceramic tiles.
According to an aspect of the present invention, there is provided a cancer operating room tile failure rate resolving device, the device comprising:
a top shooting camera device comprises a movable type cloud platform which can be arranged on the top of a cancer operating room to carry out shooting operation on the internal environment of the cancer operating room so as to obtain and output corresponding internal images of the cancer operating room.
More specifically, in the cancer operating room tile failure rate resolving device, the device further comprises:
and the fault notification equipment is used for receiving the fault rate of the ceramic tiles, sending out an integral replacement instruction when the fault rate of the ceramic tiles exceeds a preset percentage threshold value, and sending out a maintenance use instruction when the fault rate of the ceramic tiles does not exceed the preset percentage threshold value.
More specifically, in the cancer operating room tile failure rate resolving device, the device further comprises:
the fault notification equipment comprises an LED display screen arranged on the movable holder and a voice playing chip arranged on the movable holder;
a distortion correction device connected with the overhead shooting device and used for receiving the internal image of the cancer operating room and carrying out distortion correction on the internal image of the cancer operating room so as to obtain a distortion correction image;
a mean filtering device, connected to the distortion correcting device, for performing a mean filtering process on the distortion corrected image based on a maximum amplitude of noise in the received distortion corrected image to obtain a corresponding mean filtered image, wherein the smaller the maximum amplitude of noise, the smaller the magnitude of the mean filtering process performed on the distortion corrected image;
the high-pass filtering sharpening device is connected with the mean filtering device and is used for receiving the mean filtering image, and performing high-pass filtering sharpening processing on the mean filtering image based on the definition of the mean filtering image to obtain a high-pass filtering sharpened image, wherein the lower the definition of the mean filtering image is, the larger the amplitude of the high-pass filtering sharpening processing performed on the mean filtering image is;
the signal matching device is connected with the high-pass filtering sharpening device and is used for acquiring each tile sub-image occupied by each tile object in the high-pass filtering sharpened image, judging whether the number of crack pixel points in each tile sub-image exceeds the limit or not, and taking the tile object corresponding to the ceramic tile sub-image exceeding the limit as a fault tile object;
and the data switching device is respectively connected with the fault notification device and the signal matching device and is used for outputting the percentage of the number of the fault ceramic tile objects occupying the number of the ceramic tile objects in the high-pass filtering sharpened image as the ceramic tile fault rate.
According to another aspect of the invention, a method for analyzing the failure rate of the tiles in the cancer operating room is also provided, and the method comprises the step of using a device for analyzing the failure rate of the tiles in the cancer operating room, which is used for determining the failure rate of the tiles based on the total number of the tiles in the cancer operating room and the number of the failed tiles so as to judge whether the integral replacement of the tiles needs to be carried out.
The failure rate analysis device for the ceramic tiles in the cancer operating room is simple to operate and convenient to reference. Because the visual analysis mode is adopted to effectively detect the failure rate of the ceramic tile, the original rough manual detection mode is replaced, and the detection speed and precision are improved.
Therefore, the invention has at least two key inventions:
(1) identifying the number of fault tiles in the cancer operating room, further determining the failure rate of the tiles, and sending an overall replacement instruction to avoid inconvenience or injury to users caused by the tiles when the failure rate of the tiles exceeds a preset percentage threshold;
(2) and an image detection mechanism is adopted to carry out targeted identification on the ceramic tiles, the ceramic tile cracks and the fault ceramic tiles, and basic data are provided for judging the fault rate of the ceramic tiles.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a view showing an exemplary layout of cancer operating room tiles to which a cancer operating room tile failure rate resolving apparatus is applied, according to an embodiment of the present invention.
Detailed Description
Embodiments of the cancer operating room tile failure rate resolving device of the present invention will be described in detail with reference to the accompanying drawings.
In order to overcome the defects, the invention provides the failure rate analysis device for the ceramic tiles in the cancer operating room, and the corresponding technical problem can be effectively solved.
Fig. 1 is a view showing an exemplary layout of cancer operating room tiles to which a cancer operating room tile failure rate resolving apparatus is applied, according to an embodiment of the present invention.
The failure rate analysis device for the ceramic tiles of the cancer operating room, which is shown according to the embodiment of the invention, comprises:
a top shooting camera device comprises a movable type cloud platform which can be arranged on the top of a cancer operating room to carry out shooting operation on the internal environment of the cancer operating room so as to obtain and output corresponding internal images of the cancer operating room.
Next, a specific configuration of the tile failure rate analyzing apparatus for a cancer operating room according to the present invention will be further described.
The failure rate analysis device for the tile in the cancer operating room can further comprise:
and the fault notification equipment is used for receiving the fault rate of the ceramic tiles, sending out an integral replacement instruction when the fault rate of the ceramic tiles exceeds a preset percentage threshold value, and sending out a maintenance use instruction when the fault rate of the ceramic tiles does not exceed the preset percentage threshold value.
The failure rate analysis device for the tile in the cancer operating room can further comprise:
the fault notification equipment comprises an LED display screen arranged on the movable holder and a voice playing chip arranged on the movable holder;
a distortion correction device connected with the overhead shooting device and used for receiving the internal image of the cancer operating room and carrying out distortion correction on the internal image of the cancer operating room so as to obtain a distortion correction image;
a mean filtering device, connected to the distortion correcting device, for performing a mean filtering process on the distortion corrected image based on a maximum amplitude of noise in the received distortion corrected image to obtain a corresponding mean filtered image, wherein the smaller the maximum amplitude of noise, the smaller the magnitude of the mean filtering process performed on the distortion corrected image;
the high-pass filtering sharpening device is connected with the mean filtering device and is used for receiving the mean filtering image, and performing high-pass filtering sharpening processing on the mean filtering image based on the definition of the mean filtering image to obtain a high-pass filtering sharpened image, wherein the lower the definition of the mean filtering image is, the larger the amplitude of the high-pass filtering sharpening processing performed on the mean filtering image is;
the signal matching device is connected with the high-pass filtering sharpening device and is used for acquiring each tile sub-image occupied by each tile object in the high-pass filtering sharpened image, judging whether the number of crack pixel points in each tile sub-image exceeds the limit or not, and taking the tile object corresponding to the ceramic tile sub-image exceeding the limit as a fault tile object;
the data switching equipment is respectively connected with the fault notification equipment and the signal matching equipment and is used for outputting the percentage of the number of the fault ceramic tile objects occupying the number of each ceramic tile object in the high-pass filtering sharpened image as the ceramic tile fault rate;
and in the signal matching equipment, determining whether the pixel point in each sub-image of the ceramic tile is a crack pixel point based on whether the gray value of the pixel point is in the distribution range of the gray value of the crack of the ceramic tile.
The failure rate analysis device for the tile in the cancer operating room can further comprise:
the EDO DRAM storage equipment is used for storing a block size table in advance, and the block size table takes different image resolutions as indexes to store the macroblock size corresponding to each image resolution.
The failure rate analysis device for the tile in the cancer operating room can further comprise:
and the table look-up blocking device is respectively connected with the high-pass filtering sharpening device and the EDO DRAM storage device and is used for searching out the corresponding macro block size from the blocking size table based on the resolution of the received high-pass filtering sharpened image and blocking the high-pass filtering sharpened image based on the macro block size to obtain each image macro block.
The failure rate analysis device for the tile in the cancer operating room can further comprise:
and the GPU chip is connected with the table look-up block partitioning device and used for receiving each image macro block of the high-pass filtering sharpened image, performing small-to-large sorting operation on each chroma of each image macro block to obtain a chroma sequence, and performing chroma compensation processing on the image macro block with the object in the high-pass filtering sharpened image by using the chroma corresponding to the central sequence number in the chroma sequence as a reference chroma value.
The failure rate analysis device for the tile in the cancer operating room can further comprise:
and the immediate combination equipment is respectively connected with the signal matching equipment and the GPU chip and is used for carrying out image combination on the image macro block without the object in the high-pass filtering sharpened image and the processed blocks obtained after carrying out chroma compensation processing on the image macro block with the object in the high-pass filtering sharpened image so as to obtain a current combined image corresponding to the high-pass filtering sharpened image, replacing the high-pass filtering sharpened image with the current combined image and sending the current combined image to the signal matching equipment, wherein one or more image macro blocks with the object in the high-pass filtering sharpened image are provided, and one or more image macro blocks without the object in the high-pass filtering sharpened image are provided.
In the failure rate analysis device for the ceramic tiles in the cancer operating room:
the chroma compensation processing of the image macro block of the object existing in the high-pass filtering sharpened image by adopting the reference chroma value comprises the following steps: when the reference chroma value is within a preset chroma range, carrying out chroma compensation processing on image macro blocks with objects in the high-pass filtering sharpened image, otherwise, carrying out chroma compensation processing on the image macro blocks with the objects in the high-pass filtering sharpened image;
wherein the GPU chip and the point-of-care bonding device are disposed on the same printed circuit board.
Meanwhile, in order to overcome the defects, the invention also provides a failure rate analysis method for the tiles in the cancer operating room, which comprises the step of using the failure rate analysis device for the tiles in the cancer operating room, and determining the failure rate of the tiles based on the total number of the tiles in the cancer operating room and the number of the failed tiles so as to judge whether the integral replacement of the tiles is required.
In addition, the GPU is different from a DSP (Digital Signal Processing) architecture in several main aspects. All its calculations use floating point arithmetic and there is no bit or integer arithmetic instruction at this time. Furthermore, since the GPU is designed specifically for image processing, the storage system is actually a two-dimensional, segmented storage space, including a segment number (from which the image is read) and a two-dimensional address (X, Y coordinates in the image). Furthermore, there is no indirect write instruction. The output write address is determined by the raster processor and cannot be changed by the program. This is a significant challenge for algorithms that are naturally distributed among the memories. Finally, no communication is allowed between the processes of different shards. In effect, the fragment processor is a SIMD data parallel execution unit, executing code independently in all fragments.
Despite the above constraints, the GPU can still efficiently perform a variety of operations, from linear algebraic sum signal processing to numerical simulation. While the concept is simple, new users are still confused when using GPU computations because the GPU requires proprietary graphics knowledge. In this case, some software tools may provide assistance. The two high-level shading languages CG and HLSL enable users to write C-like code and then compile it into a shard program assembly language. Brook is a high-level language designed specifically for GPU computing and does not require graphical knowledge. Therefore, it can be a good starting point for the worker who first uses the GPU for development. Brook is an extension of the C language, integrating a simple data-parallel programming construct that can be mapped directly to a GPU. Data stored and manipulated by the GPU is visually analogized to "streams" (streams), similar to the arrays in standard C. The Kernel is a function that operates on the stream. Calling a core function on a series of input streams means that an implicit loop is implemented on the stream elements, i.e. a core body is called for each stream element. Brook also provides reduction mechanisms, such as performing sum, maximum, or product calculations on all elements in a stream. Brook also completely hides all the details of the graphics API and virtualizes many user-unfamiliar parts of the GPU, like the two-dimensional memory system. Applications written in Brook include linear algebra subroutines, fast fourier transforms, ray tracing, and image processing. With the X800XT for ATI and the GeForce 6800Ultra type GPU for Nvidia, the speed of many such applications increased by as much as 7 times under the same cache, SSE assembly optimized Pentium 4 execution conditions.
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 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 (7)
1. A cancer operating room tile failure rate resolving device, the device comprising:
a top shooting camera device, which comprises a movable type cloud platform and can be arranged on the top of the cancer operating room to carry out shooting operation on the internal environment of the cancer operating room so as to obtain and output corresponding internal images of the cancer operating room;
the fault notification device is used for receiving the fault rate of the ceramic tiles, sending an overall replacement instruction when the fault rate of the ceramic tiles exceeds a preset percentage threshold value, and sending a maintenance use instruction when the fault rate of the ceramic tiles does not exceed the preset percentage threshold value;
the fault notification equipment comprises an LED display screen arranged on the movable holder and a voice playing chip arranged on the movable holder;
a distortion correction device connected with the overhead shooting device and used for receiving the internal image of the cancer operating room and carrying out distortion correction on the internal image of the cancer operating room so as to obtain a distortion correction image;
a mean filtering device, connected to the distortion correcting device, for performing a mean filtering process on the distortion corrected image based on a maximum amplitude of noise in the received distortion corrected image to obtain a corresponding mean filtered image, wherein the smaller the maximum amplitude of noise, the smaller the magnitude of the mean filtering process performed on the distortion corrected image;
the high-pass filtering sharpening device is connected with the mean filtering device and is used for receiving the mean filtering image, and performing high-pass filtering sharpening processing on the mean filtering image based on the definition of the mean filtering image to obtain a high-pass filtering sharpened image, wherein the lower the definition of the mean filtering image is, the larger the amplitude of the high-pass filtering sharpening processing performed on the mean filtering image is;
the signal matching device is connected with the high-pass filtering sharpening device and is used for acquiring each tile sub-image occupied by each tile object in the high-pass filtering sharpened image, judging whether the number of crack pixel points in each tile sub-image exceeds the limit or not, and taking the tile object corresponding to the ceramic tile sub-image exceeding the limit as a fault tile object;
the data switching equipment is respectively connected with the fault notification equipment and the signal matching equipment and is used for outputting the percentage of the number of the fault ceramic tile objects occupying the number of each ceramic tile object in the high-pass filtering sharpened image as the ceramic tile fault rate;
and in the signal matching equipment, determining whether the pixel point in each sub-image of the ceramic tile is a crack pixel point based on whether the gray value of the pixel point is in the distribution range of the gray value of the crack of the ceramic tile.
2. The cancer operating room tile failure rate resolving device of claim 1, wherein the device further comprises:
the EDO DRAM storage equipment is used for storing a block size table in advance, and the block size table takes different image resolutions as indexes to store the macroblock size corresponding to each image resolution.
3. The cancer operating room tile failure rate resolving device of claim 2, wherein the device further comprises:
and the table look-up blocking device is respectively connected with the high-pass filtering sharpening device and the EDO DRAM storage device and is used for searching out the corresponding macro block size from the blocking size table based on the resolution of the received high-pass filtering sharpened image and blocking the high-pass filtering sharpened image based on the macro block size to obtain each image macro block.
4. The cancer operating room tile failure rate resolving device of claim 3, wherein the device further comprises:
and the GPU chip is connected with the table look-up block partitioning device and used for receiving each image macro block of the high-pass filtering sharpened image, performing small-to-large sorting operation on each chroma of each image macro block to obtain a chroma sequence, and performing chroma compensation processing on the image macro block with the object in the high-pass filtering sharpened image by using the chroma corresponding to the central sequence number in the chroma sequence as a reference chroma value.
5. The cancer operating room tile failure rate resolving device of claim 4, wherein the device further comprises:
and the immediate combination equipment is respectively connected with the signal matching equipment and the GPU chip and is used for carrying out image combination on the image macro block without the object in the high-pass filtering sharpened image and the processed blocks obtained after carrying out chroma compensation processing on the image macro block with the object in the high-pass filtering sharpened image so as to obtain a current combined image corresponding to the high-pass filtering sharpened image, replacing the high-pass filtering sharpened image with the current combined image and sending the current combined image to the signal matching equipment, wherein one or more image macro blocks with the object in the high-pass filtering sharpened image are provided, and one or more image macro blocks without the object in the high-pass filtering sharpened image are provided.
6. The cancer operating room tile failure rate resolving device of claim 5, wherein:
the chroma compensation processing of the image macro block of the object existing in the high-pass filtering sharpened image by adopting the reference chroma value comprises the following steps: when the reference chroma value is within a preset chroma range, carrying out chroma compensation processing on image macro blocks with objects in the high-pass filtering sharpened image, otherwise, carrying out chroma compensation processing on the image macro blocks with the objects in the high-pass filtering sharpened image;
wherein the GPU chip and the point-of-care bonding device are disposed on the same printed circuit board.
7. A cancer operating room tile failure rate resolving method, the method comprising providing a cancer operating room tile failure rate resolving device as claimed in claim 6, for determining a tile failure rate based on a total number of tiles in the cancer operating room and a number of failed tiles and further determining whether a tile replacement as a whole needs to be performed.
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| CN101359465B (en) * | 2008-09-19 | 2010-07-07 | 成都九洲电子信息系统有限责任公司 | Method for improving image scaling quality |
| TWI401963B (en) * | 2009-06-25 | 2013-07-11 | Pixart Imaging Inc | Dynamic image compression method for face detection |
| CN102221937A (en) * | 2010-04-15 | 2011-10-19 | 上海天派无线科技有限公司 | Real-time video image coordinate recognition system and method |
| US9270999B2 (en) * | 2013-09-25 | 2016-02-23 | Apple Inc. | Delayed chroma processing in block processing pipelines |
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| CN108320282A (en) * | 2018-01-25 | 2018-07-24 | 陕西科技大学 | The ceramic wall and floor bricks surface defect detection apparatus and its method of multicharacteristic information fusion |
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| CN109443257A (en) * | 2018-11-22 | 2019-03-08 | 恩平市新安马陶瓷有限公司 | A kind of tile detection device |
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