KR101661162B1

KR101661162B1 - Image processing method of boiler inside observing camera

Info

Publication number: KR101661162B1
Application number: KR1020150145736A
Authority: KR
Inventors: 박성원; 오성환; 공완식; 정재헌; 이원근; 김은섭
Original assignee: (주)보강하이텍
Priority date: 2015-10-20
Filing date: 2015-10-20
Publication date: 2016-09-30

Abstract

The present invention relates to a method for processing an image of a camera for monitoring an interior of a boiler furnace, and more particularly to method for processing an image of a camera for monitoring an interior of a boiler furnace, which prevents degradation of an image attributable to a white out phenomenon occurring when an imaging camera device for monitoring is inserted into a boiler furnace at high temperature. The method for processing an image of a camera for monitoring an interior of a boiler furnace according to the present invention comprises: a first step of acquiring RGB data; a second step of converting the RGB data into YCbCr data; a third step of performing texture format conversion on the YCbCr data; a fourth step of shading the data whose texture format has been converted; a fifth step of performing color space conversion for each pixel on the shaded data; a sixth step of performing filtering adapted to remove noise on the data whose color space has been converted; and a seventh step of performing real-time image rendering on the data on which the filtering has been performed.

Description

Technical Field [0001] The present invention relates to an image processing method of a boiler inside surveillance camera,

The present invention relates to an image processing method of an internal surveillance camera of a boiler furnace, and more particularly, to an image processing method of an internal surveillance camera of a boiler furnace in order to prevent image degradation due to bleeding phenomenon when a surveillance video camera device is introduced into a boiler furnace in a high- And a method of processing the same.

Generally, a boiler used for power generation is a water tube type boiler which is composed of a plurality of small diameter tubes to obtain high temperature and high pressure steam. The boiler is a tube type boiler which generates heat And it is divided into a circulation boiler and a once-through boiler according to the circulation method of the boiler water.
On the other hand, due to difficulties in supplying and supplying coal used for coal-fired boilers, damage to the boiler tubes due to the clinker drop and the increase of sulfur and alkali components in the boiler during coal combustion Tube corrosion caused by burnt carbon, creep fatigue failure due to short / long term overheating, and tube wear due to non-oxidation.
In order to overcome the inaccuracies and limitations of the visual inspection due to the environmental specificity (high temperature, narrow space) in the prevention and inspection of the problems occurring in such coal-fired boilers, And the like.
Korean Patent Registration No. 10-1178257, entitled " Clinker Monitoring System of Power Plant Boiler ", discloses a first field device for detecting a clinker image generated in a water-cooling wall and a tube according to a boiler operation and transmitting the clinker image to a central device, The information of the second field device, the first field device, and the second field device which detect the change of water temperature and basic pH and transmit to the central device are analyzed to determine whether the thermal conductivity is inhibited or not by the clinker generation, And an administrator terminal connected to the central device for executing operation and management and clinker analysis.
However, when the monitoring image device equipped with the camera enters the boiler furnace with respect to the area where facility reliability is required due to premature diagnosis and measures of internal cracks and corrosive wear of the boiler pressure portion at a temperature higher than 1400 ° C, There is insufficient contrast against the image degradation due to the whitening phenomenon occurring in the image sensor.

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above-mentioned problems of the prior art, and it is an object of the present invention to prevent image degradation such as image blurring due to whitening phenomenon when a surveillance video camera device enters a boiler furnace in a high- have.

According to another aspect of the present invention, there is provided an image processing method of an internal surveillance camera of a boiler furnace, including: a first step of acquiring RGB data; a second step of converting the RGB data into YCbCr data; A fourth step of shading the texture-format-transformed data, a fifth step of color-space-converting the shading data per pixel, a sixth step of filtering the noise-eliminated color space transformed data, And a seventh step of performing a real-time image rendering on the image data.

Therefore, the image processing method of the internal surveillance camera of the boiler furnace of the present invention has an effect of preventing image degradation such as image blur due to whitening phenomenon when the surveillance video camera device enters the boiler furnace in a high temperature state.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram of a video camera apparatus for image processing of a boiler furnace internal surveillance camera according to the present invention;
2 is a flowchart showing an image processing method of a boiler furnace internal surveillance camera according to the present invention.

The terms and words used in the present specification and claims should not be construed as limited to ordinary or dictionary terms and the inventor may appropriately define the concept of the term in order to best describe its invention It should be construed as meaning and concept consistent with the technical idea of the present invention.
Therefore, the embodiments described in this specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention and do not represent all the technical ideas of the present invention. Therefore, It is to be understood that equivalents and modifications are possible.
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.
1 is a block diagram of a video camera apparatus for image processing of a boiler furnace internal surveillance camera according to the present invention. 1, the image camera apparatus 100 according to the present invention includes a sensor module 10, an interface module 20, an ISP (Image Signal Processor) module 30, a regulator module 40 ), A power module (50), and a control module (60).
The sensor module 10 uses an auto focus (AF) sensor module of a 5M pixel voice coil motor (VCM) type for mobile and transmits the RGB data to the interface module 20.
The interface module 20 uses a Mobile Industry Processor Interface (MIPI). The MIPI is a specification of a serial interface for connecting hardware and software between a processor and peripheral devices. Since the interface module 20 is a high-speed digital serial interface, , It is easy to apply, it is possible to reduce the battery consumption, and it is possible to transmit necessary high-speed signals through a high bandwidth. Since the serial interface is used, the number of communication pins and the number of wires can be reduced.
The interface module 20 filters the RGB data received from the sensor module 10 with 10-bit layer data and transmits the RGB data to the ISP module 30.
The ISP module 30 performs image processing such as AF (Auto Focus), AE (Auto Exposure) and AWB (Auto White Balance), and outputs the filtered RGB data received from the interface module 20 as parallel 8-bit Converted to a YCbCr color model and transmitted to the control module 60.
The regulator module 40 is a regulator for maintaining the constant voltage and adopts the LDO (Low Dropout) type. Therefore, when the input voltage is higher than the output voltage by 0.3 to 0.5 V or more, the constant voltage is maintained.
The power module 50 is connected to the sensor module 10, the interface module 20, the ISP module 30, the regulator module 40, and the control module 60, As shown in FIG.
The control module 60 controls each of the modules and performs a real-time image processing operation on the YCbCr color model transmitted from the ISP module 30.
More specifically, it performs functions such as texture format conversion, shading, color space change per pixel, and various filtering and rendering for noise reduction.
The I2C communication method is applied between the sensor module 10 and the ISP module 30 and between the ISP module 30 and the PC.
2 is a flowchart showing an image processing method of a boiler furnace internal surveillance camera according to the present invention. 2, the image processing method of the internal monitoring camera of the boiler furnace of the present invention includes a first step of acquiring RGB data, a second step of converting the RGB data into YCbCr data, a second step of converting the YCbCr data into a texture format A fourth step of shading the texture-format-converted data, a fifth step of color-space-converting the shaded data per pixel, a sixth step of filtering the color- And a seventh step of real-time image rendering of the filtered data.
Specifically, RGB data, which is real image data acquired by the sensor module 10 in the first step, is filtered by 10-bit data through the interface module 20, and then the YCbCr And converts it into a color model (S10). The RGB color model is the most basic color model and considers the color as a combination of the three components Red, Green, and Blue. The YCbCr color model separates the brightness component (Y) and color difference information (Cb, Cr) As a color model to be represented, a 4-bit number (resolution) is allocated to Y, and a 2-bit number is allocated to Cb and Cr, respectively, and converted into a parallel 8-bit YCbCr color model to be transferred to the control module 60 do
Next, the control module 60 converts the texture format of the YCbCr data (S20). A texture is a 2D image that appears when a 3D object created by a polygon is rendered with a UV coordinate value. It contains information about the detailed shapes, textures, and colors that can not be expressed by polygons alone. And the texture will wrap around the 3D object.
Next, a shading process is performed (S30). At this time, shading is performed by a GPU (Graphic Processor Unit), and a fragment shader is applied to a shader. Such as color, phong, and metal specu- lity, to manage and control various characteristics and functions of the texture part of the object.
Next, color space conversion is performed per pixel (S40). Color space conversion per pixel means color space conversion of a digital image, and color information is extracted using bits per pixel (BPP) conversion.
Next, the frame buffer is subjected to filtering on a frame buffer (S50). The frame buffer is a storage device for temporarily storing image information to be displayed on the screen in a raster scanning mode. The GPU is connected to a central processing unit (CPU) And converts the display list into the frame buffer.
In detail, a bidirectional filter proposed by Tomasi is applied to remove noise, and a median filter is applied to a spike (spike) It is preferable to remove noise.
An intermediate value filter is a kind of low pass or planarization filter based on calculating the median value of the periphery of an image element, which depends on the brightness level of the adjacent pixel and is mainly used to remove image defects.
Finally, real time image rendering is performed on the data output from the frame buffer (S60).
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be taken by way of limitation, Various changes and modifications will be possible.

10: Sensor module 20: Interface module
30: ISP module 40: regulator module
50: power supply module 60: control module

Claims

An image processing method of a surveillance camera in a boiler furnace,
A first step of acquiring RGB data;
A second step of converting the RGB data into YCbCr data;
A third step of performing texture format conversion on the YCbCr data;
A fourth step of shading the texture format converted data;
A fifth step of bit-converting the shading data per pixel;
A sixth step of filtering the bit-converted data per pixel for noise removal; And
And a seventh step of real-time image rendering of the filtered data.

The method according to claim 1,
Wherein the sixth step includes performing at least one of noise filtering using a bidirectional filter or spike noise filtering using an intermediate value filter.

The method according to claim 1,
Wherein the first step further comprises filtering the obtained RGB data with 10 bits of data.

The method according to claim 1,
Wherein the shading of the fourth step is performed by applying a fragment shader of the graphic processing apparatus.