CN204463230U - Medical color fujinon electronic video endoscope dead pixel points of images pick-up unit - Google Patents
Medical color fujinon electronic video endoscope dead pixel points of images pick-up unit Download PDFInfo
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- CN204463230U CN204463230U CN201520185896.5U CN201520185896U CN204463230U CN 204463230 U CN204463230 U CN 204463230U CN 201520185896 U CN201520185896 U CN 201520185896U CN 204463230 U CN204463230 U CN 204463230U
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Abstract
A kind of medical color fujinon electronic video endoscope dead pixel points of images pick-up unit, comprises image acquisition units, RGB resolving cell, binaryzation anticipation unit, display and input block and bad point ruling unit; Image acquisition units is connected with RGB resolving cell, gathers the output image of tested fujinon electronic video endoscope and transfers to RGB resolving cell; RGB resolving cell is connected with binaryzation anticipation unit with image acquisition units respectively, and original image image acquisition units collected is decomposed into R, G and B tri-component images, and transfers to binaryzation anticipation unit; Display and input block, be connected with bad point ruling unit with binaryzation anticipation unit respectively; Binaryzation anticipation unit respectively with RGB resolving cell, show and be connected with bad point ruling unit with input block; Bad point ruling unit is connected with input block with showing with binaryzation anticipation unit respectively, carries out bad point judgement.This device is convenient to, using the every field of link to carry out bad point detection, not only take into account recognition efficiency, also effectively reduced erroneous judgement.
Description
Technical field
The utility model relates to a kind of device for detecting medical color fujinon electronic video endoscope dead pixel points of images, belongs to fujinon electronic video endoscope dead pixel points of images detection technique field.
Background technology
Medical electronic endoscope is a kind of important medical consultations equipment.Dead pixel points of images is the key factor affecting fujinon electronic video endoscope picture quality, is the core index evaluating fujinon electronic video endoscope performance, affects treatment effect to a great extent, concern patient safety.Color electric endoscope is that development in recent years is very fast, use more a kind of medical endoscope.Color electric endoscope belongs to high-grade Medical Devices, price costly, the accurate rapid wear of equipment.The situation of user and medical institutions usual special concern color electric endoscopic images bad point.In use, along with service time increases, endoscope easily produces some bad points, user wishes the quality condition detecting to grasp endoscope in daily servicing and Quality Control work to these dead pixel points of images, thus judges whether its performance still can meet Clinical practice requirement and the need of maintenance.Purchase at color electric endoscope and check and accept or under endoscope maintenance (particularly entrusting the maintenance carried out of other unit) the afterwards situation such as examination, also need the bad point of endoscope to detect.As can be seen here, in use link, the dead pixel points of images of color electric endoscope detects significant.
But, in use link, carry out bad point detection, be different from the bad point detection in research and development, production, assembling process, have the technological difficulties of its uniqueness.Bad point detection is carried out in use link, generally can not dismantle tested endoscope, therefore cannot obtain the original signal that its imageing sensor directly exports, this makes manyly in prior art cannot to be applied for the bad point detection technology of imageing sensor original signal specially.By the image output interface of tested endoscope, its picture signal can be obtained.But the image so obtained is implemented pre-service by endoscope.The usual mainly color interpolation of this pre-service, also comprises color correction sometimes.Color interpolation be color-image forming apparatus in order to obtain the requisite process of coloured image, this is determined by the image-forming principle of color image sensor.Color image sensor on the basis of black white image sensor, installs one deck color filter array (CFA) additional and realizes.This color filter array many employings Bayer array.Due to the effect of CFA, the single photosensitive unit of color image sensor can only receive the signal of a certain color of R, G, B tri-in look.Therefore, the original signal obtained by color image sensor has to pass through color interpolation could obtain complete coloured image.In order to obtain better color effect, coloured image also needs sometimes through color correction process.Color interpolation and color correction all can make the difference of bad point and its surrounding normal point reduce, thus bad point identification difficulty is strengthened.In addition, the core concept of the prior art of dead pixel detection method or device is all for gray level image (or claiming black white image), bad point detection for color-image forming apparatus needs first coloured image to be carried out gray processing, and then uses the recognition methods of gray level image bad point to detect.The gray processing of coloured image also makes the difference of the bad point in image and its surrounding normal point reduce, and further increases the difficulty of bad point detection, easily occurs the situation of failing to judge.In sum, use in link at medical color fujinon electronic video endoscope and its dead pixel points of images is detected, the treated coloured image that fujinon electronic video endoscope can only be used to export is to carry out bad point identification and detection, and the processing procedures such as color interpolation, color correction, gray processing make the difference of dead pixel points of images and surrounding normal point greatly reduce, prior art cannot be suitable for or bad point discrimination reduces greatly.
Therefore, need to propose a kind of device being specifically designed to medical color fujinon electronic video endoscope dead pixel points of images and detecting.
Utility model content
For the deficiency that existing medical color fujinon electronic video endoscope dead pixel points of images detection technique exists, the utility model proposes a kind of medical color fujinon electronic video endoscope dead pixel points of images pick-up unit.This device can be applicable to detect its dead pixel points of images in medical color fujinon electronic video endoscope use link, and bad point discrimination is high.
Medical color fujinon electronic video endoscope dead pixel points of images pick-up unit of the present utility model, by the following technical solutions:
This device, comprise image acquisition units, RGB resolving cell, binaryzation anticipation unit, display and input block and bad point ruling unit, image acquisition units is connected with RGB resolving cell, RGB resolving cell is connected with binaryzation anticipation unit with image acquisition units respectively, display is connected with bad point ruling unit with binaryzation anticipation unit respectively with input block, binaryzation anticipation unit respectively with RGB resolving cell, show and be connected with bad point ruling unit with input block, bad point ruling unit is connected with input block with showing with binaryzation anticipation unit respectively.
Image acquisition units is for gathering the output image of tested medical color fujinon electronic video endoscope and transferring to RGB resolving cell.The original image that RGB resolving cell is used for image acquisition units to collect is decomposed into R, G and B tri-component images, and component image and original image are transferred to binaryzation anticipation unit.Display and input block send to binaryzation anticipation unit the instruction inputted, and this unit has the image zooming function of Presentation Function, input function and pixel scale.Binaryzation anticipation unit judges the binary-state threshold of each component image from RGB resolving cell automatically, the binary-state threshold that in the binary-state threshold or subsequent process automatically judged, display is given with input block is used to carry out binaryzation to each component image, and by the image transmitting after binaryzation to display and input block, receiving after from the threshold value confirmation signal shown with input block, binary-state threshold up-to-date for each component image is defined as bad point recognition threshold, then bad point recognition threshold, original image and component image is transferred to bad point ruling unit.Bad point ruling unit carries out bad point judgement according to certain decision rule successively to each pixel in original image, and result of determination is sent to display and shows with input block.
Device described in the utility model need not be dismantled when detecting medical color fujinon electronic video endoscope dead pixel points of images, can not produce any damage to detected equipment, is convenient to using the every field of link to carry out bad point detection.This device is according to colour imaging principle, and original image is decomposed into R, G, B tri-component images and carries out analysis judgement respectively, then the analysis result of comprehensive each component carries out the synthetic determination of bad point, improves discrimination and the accuracy rate of bad point identification.This device also takes full advantage of and automatically identifies and artificial cognition advantage separately, has not only taken into account recognition efficiency, has also effectively reduced erroneous judgement.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of the utility model medical color fujinon electronic video endoscope dead pixel points of images pick-up unit.
Wherein, 1, image acquisition units, 2, RGB resolving cell, 3, binaryzation anticipation unit, 4, display and input block, 5, bad point ruling unit.
Embodiment
As shown in Figure 1, medical color fujinon electronic video endoscope dead pixel points of images pick-up unit described in the utility model comprises: image acquisition units 1, RGB resolving cell 2, binaryzation anticipation unit 3, display and input block 4 and bad point ruling unit 5.Image acquisition units 1 is connected with RGB resolving cell 2; RGB resolving cell 2 is also connected with binaryzation anticipation unit 3; Binaryzation anticipation unit 3 is also connected with input block 4, bad point ruling unit 5 with display respectively; Bad point ruling unit 5 is also connected with input block 4 with display.
Use this device to carry out bad point detection, the image output interface of tested fujinon electronic video endoscope must be first connected with the image acquisition units 1 of this device by data line by operating personnel.Then, the relevant information such as photographing information, tested endoscope information is inputed to binaryzation anticipation unit 3 and bad point ruling unit 5 by display and input block 4.
Present embodiment adopts the mode of first taking, analyzing even dark image to carry out dead pixel points of images detection.Use the even dark image captured by tested endoscope to be gathered by image acquisition units 1, then transfer to RGB resolving cell 2.Image acquisition units 1 can adopt image pick-up card or other parts with image collecting function to realize.RGB resolving cell 2 is converted to rgb format the even dark image (original image) obtained from image acquisition units 1, is namely decomposed into R, G, B tri-component images, then component image and original image is transferred to binaryzation anticipation unit 3.RGB resolving cell 2 adopts the parts with image format conversion function to realize.Because the variety of components that can realize image acquisition units 1 function in prior art is various, its image output format is had nothing in common with each other, therefore (this output image may be extended formatting by the output image of image acquisition units 1 to need RGB resolving cell 2, as yuv format) be converted to rgb format, detect bad point to guarantee original image being decomposed into R, G, B tri-component images for subsequent analysis.
Binaryzation anticipation unit 3 can adopt there is logical operation, the image processing circuit of numerical evaluation and data storage function realizes, and other also can be adopted can to complete the circuit realiration of binaryzation anticipation unit 3 function.First binaryzation anticipation unit 3 carries out automatic decision to the binary-state threshold of each component image.For a certain component image, binaryzation anticipation unit 3 judges its binary-state threshold as follows automatically: binaryzation anticipation unit 3 searches for minimum value h1 and the maximal value h2 of this component image gray scale, and calculates the dynamic range d=h2-h1 of this component image.If d>D × a, binary-state threshold is judged to be h1+d × b by binaryzation anticipation unit 3; If d≤D × a, then binary-state threshold is judged to be h2+D by binaryzation anticipation unit 3.Wherein, a, b be greater than 0 and be less than 1 coefficient, a=0.3, b=0.5 in present embodiment.
Binaryzation anticipation unit 3 uses the binary-state threshold automatically judged to carry out binaryzation respectively to R, G, B tri-component images, the concrete grammar of binaryzation can adopt existing binaryzation technology: if the gray-scale value of a certain pixel is less than or equal to binary-state threshold in image, then the gray-scale value of this pixel is set as 0; If the gray-scale value of a certain pixel is greater than binary-state threshold in image, then the gray-scale value of this pixel is set as D; According to this, pixels all in image are carried out the binaryzation that binaryzation can complete entire image.After binaryzation anticipation unit 3 couples of R, G, B tri-component images complete binaryzation respectively, original image, component image and binary image thereof are all transferred to display and input block 4.
Display and input block 4 can adopt touching display screen (comprising interlock circuit) to realize, and also can adopt other displays, input equipment realization.Operating personnel observe the binary image of each component image by display and input block 4, and can reset the binary-state threshold of each component image as the case may be.When operating personnel reset binary-state threshold for a certain component image, this binary-state threshold reset will transfer to binaryzation anticipation unit 3, and binaryzation anticipation unit 3 re-starts binaryzation according to this binary-state threshold reset to this component images and result is back to display and input block 4 shows.In present embodiment, display and input block 4 show the binary image of R, G, B tri-component images simultaneously.This display mode is conducive to operating personnel and observes the situation of each component so that the concrete condition of comprehensive each component is to adjust binary-state threshold simultaneously, to improve accuracy rate and the reliability of bad point identification.After operating personnel are to the adjustment of each component binary-state threshold, by showing with input block 4 to binaryzation anticipation unit 3 sending threshold value determination signal.Original image, each component image and bad point recognition threshold thereof, after receiving threshold value determination signal, using the binary-state threshold of current each component image as bad point recognition threshold, and are sent to bad point ruling unit 5 by binaryzation anticipation unit 3.
Bad point ruling unit 5 can adopt there is logical operation, the image processing circuit of numerical evaluation and data storage function realizes, and other also can be adopted can to complete the circuit realiration of bad point ruling unit 5 function.Bad point ruling unit 5 uses following decision rule to carry out bad point judgement successively to each pixel in image, and result of determination is sent to display and shows with input block 4:
If R [(x, y)] >ThR and G [(x, y)]≤ThG and B [(x, y)]≤ThB, then pixel (x, y) is judged to be dead pixel points of images;
If B [(x, y)] >ThB and G [(x, y)]≤ThG and R [(x, y)]≤ThR, then pixel (x, y) is judged to be dead pixel points of images;
If G is [(x, y)] >ThG and R [(x, y)] >ThR and B [(x, y)] >ThB, then pixel (x, y) is judged to be dead pixel points of images;
In all the other situations, pixel (x, y) is judged to be normal point.
So far, the bad point detection based on even dark image is complete.
Then the bad point detection based on even highlighted image is carried out.After the relevant information such as photographing information, tested endoscope information is inputed to binaryzation anticipation unit 3 and bad point ruling unit 5 by display and input block 4 by operating personnel, tested endoscope is used to take even highlighted image: environment light source and tested fujinon electronic video endoscope light source to be opened, tested fujinon electronic video endoscope end eyepiece is aimed at one piece of blank, takes even highlighted image (other also can be adopted can to obtain the image pickup method of even highlighted image).This device uses that even highlighted image detects the step of medical endoscope bad point, method and the even dark image of use are carried out detecting substantially identical.Difference is, during the binary-state threshold of each component image of binaryzation anticipation unit 3 automatic decision, if d≤D × a, binary-state threshold is automatically made h1-D by binaryzation anticipation unit 3, instead of h2+D.Another difference is, bad point ruling unit 5 carries out bad point judgement according to following decision rule successively to each pixel in image:
If R [(x, y)]≤ThR and G [(x, y)] >ThG and B [(x, y)] >ThB, then pixel (x, y) is judged to be dead pixel points of images;
If B [(x, y)]≤ThB and G [(x, y)] >ThG and R [(x, y)] >ThR, then pixel (x, y) is judged to be dead pixel points of images;
If G [(x, y)]≤ThG and R [(x, y)]≤ThR and B [(x, y)]≤ThB, then pixel (x, y) is judged to be dead pixel points of images;
In all the other situations, pixel (x, y) is judged to be normal point.
After the even highlighted image of use carries out bad point end of identification, this device terminates the overall process that medical color fujinon electronic video endoscope dead pixel points of images detects.The order that this device uses even dark image and even highlighted image to carry out endoscope bad point detection can be exchanged.
Claims (1)
1. a medical color fujinon electronic video endoscope dead pixel points of images pick-up unit, comprise image acquisition units, RGB resolving cell, binaryzation anticipation unit, display and input block and bad point ruling unit, it is characterized in that, image acquisition units is connected with RGB resolving cell, RGB resolving cell is connected with binaryzation anticipation unit with image acquisition units respectively, display is connected with bad point ruling unit with binaryzation anticipation unit respectively with input block, binaryzation anticipation unit respectively with RGB resolving cell, display is connected with bad point ruling unit with input block, bad point ruling unit is connected with input block with showing with binaryzation anticipation unit respectively.
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