CN116245771B - Endoscope image brightness automatic enhancement method and system based on image secondary enhancement - Google Patents
Endoscope image brightness automatic enhancement method and system based on image secondary enhancement Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
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Abstract
The invention discloses an endoscope image brightness automatic enhancement method and system based on image secondary enhancement, comprising the following steps: s1, an endoscopic camera assembly collects and processes an image at an endoscopic position; s2, extracting image frames of the image at the endoscopic position and dividing brightness; s3, sorting the brightness distribution positions of the divided images through brightness steps; s4, confirming a maximum brightness value and a minimum brightness value, and calculating a proper brightness value, wherein the beneficial effects of the invention are as follows: the brightness steps are divided at the brightness distribution positions of the divided images, and the divided brightness steps are subjected to sorting treatment, so that the images needing brightness enhancement are rapidly positioned and acquired, the brightness of the endoscopic image is rapidly enhanced, and the definition and the integrity of surrounding divided image frames are compared, so that the definition after the brightness enhancement of the image and the shooting stability are improved.
Description
Technical Field
The invention relates to the technical field of endoscope images, in particular to an automatic endoscope image brightness enhancement method and system based on image secondary enhancement.
Background
Endoscopes generally refer to medical instruments that enter the human body through various ducts to observe the internal condition of the body. The lesions that cannot be seen by X-rays can be seen with an endoscope, so that it is very useful for doctors. Such as by an endoscopist, to view ulcers or tumors in the stomach, whereby an optimal treatment regimen is established. Some endoscopes have therapeutic functions such as cystoscope, gastroscope, colioscope, bronchoscope, laparoscope, etc. in the current endoscope image transmission, the endoscope image is easy to cause insufficient irradiation brightness due to internal darkness, the effect during image shooting is affected, the current endoscope image also does not have the effect of enhancing the brightness, and the diagnosis and judgment of doctors are affected during observation.
Disclosure of Invention
The invention aims to provide an automatic enhancement method and system for endoscope image brightness based on image secondary enhancement, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: an automatic enhancement method for endoscope image brightness based on image secondary enhancement comprises the following steps:
s1, an endoscopic camera assembly collects and processes an image at an endoscopic position;
s2, extracting image frames of the image at the endoscopic position and dividing brightness;
s3, sorting the brightness distribution positions of the divided images through brightness steps;
s4, confirming a maximum brightness value and a minimum brightness value, and calculating a proper brightness value;
s5, calculating the adjacent brightness difference value between each divided image frame;
s6, selecting the position of the divided image frame to which the maximum difference belongs;
s7, performing brightness enhancement operation on the position of the divided image frame to which the maximum value in each difference value belongs, adjusting the position to a proper brightness value, and comparing the definition and the integrity of the divided image frame with the definition and the integrity of surrounding divided image frames;
s8, performing secondary enhancement processing on each adjusted image frame by utilizing a spectrum exchange contrast enhancement algorithm;
s9, performing enhancement processing on the image to obtain the endoscope image with enhanced brightness.
Preferably, the image capturing process of the endoscopic image capturing assembly in S1 for capturing an image of an endoscopic site specifically includes the following steps:
s11, performing image shooting processing in a patient body through an endoscope shooting assembly;
s12, respectively acquiring an image when the light supplementing lamp of the endoscope image capturing assembly is turned off and an image when the light supplementing lamp of the endoscope image capturing assembly is turned on.
Preferably, the image frame extraction and the luminance division in S2 specifically include the following steps:
s21, performing image frame extraction operation on an image at an acquisition endoscopic position;
s22, dividing the brightness distribution of the extracted image frames;
s23, performing frame selection processing on the divided brightness distribution image.
Preferably, the luminance step in S3 includes a low luminance step value, a medium luminance step value, and a high luminance step value.
Preferably, the calculating the suitable brightness value in S4 specifically includes the following steps:
s41, calculating the sum of a maximum brightness value and a minimum brightness value at the brightness distribution of the image;
s42, calculating an average value after the sum is obtained, and confirming a proper brightness value through the average value.
Preferably, the comparing in S7 with the definition and the integrity of the surrounding divided image frames specifically includes the following steps:
s71, recognizing the definition of the image with enhanced brightness, performing local dimming processing on the position of the recognized blur, and performing contour enhancement processing on the image;
s72, calculating adjustment coefficients among pixel brightness values of each divided image frame and checking the influence of brightness enhancement.
Preferably, the step S9 of enhancing the image to obtain the endoscope image with enhanced brightness specifically includes the following steps:
s91, carrying out brightness reduction on the blood vessel with the fuzzy condition after brightness enhancement, so that the blood vessel is obviously highlighted;
s92, brightness of the highlighted blood vessel is maintained, and brightness enhancement recovery processing is performed on surrounding images.
The endoscope image brightness automatic enhancing system based on image secondary enhancement comprises a brightness enhancing unit, an image restoring unit and a color value restoring unit, wherein the output end of the brightness enhancing unit is in communication connection with the input end of the image restoring unit, and the output end of the image restoring unit is in communication connection with the input end of the color value restoring unit;
the brightness enhancement unit is used for performing brightness enhancement processing on the video image shot by the endoscope;
the image restoration unit is used for performing fuzzy restoration processing on the enhanced video image;
the color value restoration unit is used for calculating and obtaining RGB three-channel color values through the image after brightness enhancement.
The device comprises an endoscope camera shooting assembly, an endoscope image transmission module, an endoscope image brightness enhancement module and an endoscope image pixel enhancement module, wherein the output end of the endoscope camera shooting assembly is in communication connection with the input end of the endoscope image transmission module;
the endoscope image pickup assembly is used for carrying out shooting processing through an endoscope and storing shot images;
the endoscopic image transmission module is used for carrying out image transmission processing on the stored shooting images;
the endoscopic image brightness enhancement module is used for carrying out brightness enhancement processing on the shooting image received by transmission;
the endoscopic image pixel enhancement module is used for carrying out pixel point enhancement restoration processing on the received endoscopic image.
An endoscopic image brightness enhancement storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method according to any of claims 1-7.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Compared with the prior art, the invention has the beneficial effects that: the brightness steps are divided at the brightness distribution positions of the divided images, the divided brightness steps are subjected to sorting treatment, so that the images needing brightness enhancement are rapidly positioned and acquired, the brightness of the endoscopic image is rapidly enhanced, the definition and the integrity of surrounding divided image frames are compared, the definition after the image brightness enhancement and the shooting stability are improved, the contrast is enhanced by utilizing spectrum exchange contrast through adding secondary enhancement treatment, and the contrast enhancement is performed on the key positions of the images, so that the better observation is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art from this disclosure that the drawings described below are merely exemplary and that other embodiments may be derived from the drawings provided without undue effort.
FIG. 1 is a schematic diagram of the steps of the method of the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus consistent with some aspects of the disclosure as detailed in the accompanying claims.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1, the method for automatically enhancing the brightness of an endoscope image based on image secondary enhancement according to the embodiment of the invention comprises the following steps:
s1, an endoscopic camera assembly collects and processes an image at an endoscopic position;
s2, extracting image frames of the images at the endoscopic positions and dividing the brightness, and carrying out frame selection on the divided brightness distribution images so as to carry out rapid brightness enhancement treatment on the brightness distribution images, thereby improving the treatment efficiency;
s3, sorting the brightness distribution positions of the divided images through brightness steps, dividing the brightness steps of the brightness distribution positions of the divided images, and sorting the brightness steps;
s4, confirming a maximum brightness value and a minimum brightness value, calculating a proper brightness value, obtaining a middle number by calculating an average value, and carrying out middle value adjustment processing on brightness, so that the brightness at each position is rapidly enhanced, and confirming the brightness value required by the whole image;
s5, calculating the adjacent brightness difference value between each divided image frame;
s6, selecting the position of the divided image frame to which the maximum difference belongs;
s7, carrying out brightness enhancement operation on the position of the divided image frame to which the maximum value in each difference value belongs, adjusting the position to a proper brightness value, comparing the brightness and the integrity of surrounding divided image frames, carrying out quick positioning acquisition on an image needing brightness enhancement, carrying out quick enhancement on the brightness of an endoscopic image, and comparing the brightness and the integrity of the surrounding divided image frames to improve the brightness after the brightness enhancement of the image and the shooting stability;
s8, performing secondary enhancement processing on each adjusted image frame by utilizing a spectrum exchange contrast enhancement algorithm, and enhancing the contrast by utilizing the spectrum exchange contrast by adding the secondary enhancement processing, so that the contrast of the key position of the image is enhanced, and the observation is convenient;
s9, performing enhancement processing on the image to obtain an endoscope image with enhanced brightness, and rapidly highlighting the position of the blood vessel of the endoscope to prevent insufficient observation of the image on the blood vessel.
Example 2:
the image acquisition processing of the endoscopic camera assembly in the S1 on the endoscopic position specifically comprises the following steps:
s11, performing image shooting processing in a patient body through an endoscope shooting assembly;
s12, respectively acquiring an image when the light supplementing lamp of the endoscope image capturing assembly is turned off and an image when the light supplementing lamp of the endoscope image capturing assembly is turned on.
The step of extracting the image frames and dividing the brightness in S2 specifically includes the following steps:
s21, performing image frame extraction operation on an image at an acquisition endoscopic position;
s22, dividing the brightness distribution of the extracted image frames;
s23, performing frame selection processing on the divided brightness distribution images, and performing frame selection on the divided brightness distribution images, so that the brightness of the brightness distribution images is rapidly enhanced, and the processing efficiency is improved.
The brightness steps in the S3 comprise a low brightness step value, a medium brightness step value and a high brightness step value, brightness step division is carried out on brightness distribution positions of the divided images, and sorting processing is carried out on the divided brightness steps.
The calculating of the suitable brightness value in S4 specifically includes the following steps:
s41, calculating the sum of a maximum brightness value and a minimum brightness value at the brightness distribution of the image;
s42, obtaining the sum and then calculating to obtain an average value, namely, confirming a proper brightness value through the average value, obtaining a middle number through calculating the average value, and carrying out middle value adjustment processing on the brightness, thereby carrying out rapid enhancement processing on the brightness at each position and confirming the brightness value required by the whole image.
The contrast in S7 and the definition and integrity of the surrounding divided image frame specifically include the following steps:
s71, recognizing the definition of the image with enhanced brightness, performing local dimming processing on the position of the recognized blur, and performing contour enhancement processing on the image;
s72, calculating adjustment coefficients among pixel brightness values of each divided image frame, checking the influence of brightness enhancement, quickly positioning and acquiring an image to be subjected to brightness enhancement, quickly enhancing the brightness of an endoscopic image, and improving the definition after the brightness enhancement and the shooting stability by comparing the definition and the integrity of surrounding divided image frames.
The step S9 of enhancing the image to obtain the endoscope image with enhanced brightness specifically includes the following steps:
s91, carrying out brightness reduction on the blood vessel with the fuzzy condition after brightness enhancement, so that the blood vessel is obviously highlighted;
s92, brightness of the highlighted blood vessel is kept, brightness enhancement recovery processing is carried out on surrounding images, quick highlighting is carried out on the endoscopic blood vessel position, and insufficient observation of the blood vessel by the images is prevented.
Example 3:
the endoscope image brightness automatic enhancing system based on image secondary enhancement comprises a brightness enhancing unit, an image restoring unit and a color value restoring unit, wherein the output end of the brightness enhancing unit is in communication connection with the input end of the image restoring unit, and the output end of the image restoring unit is in communication connection with the input end of the color value restoring unit;
the brightness enhancement unit is used for performing brightness enhancement processing on the video image shot by the endoscope;
the image restoration unit is used for performing fuzzy restoration processing on the enhanced video image;
the color value restoration unit is used for calculating to obtain RGB three-channel color values through the image with enhanced brightness.
Example 4:
the device comprises an endoscope camera shooting assembly, an endoscope image transmission module, an endoscope image brightness enhancement module and an endoscope image pixel enhancement module, wherein the output end of the endoscope camera shooting assembly is in communication connection with the input end of the endoscope image transmission module;
the endoscope shooting assembly is used for shooting through an endoscope and storing shot images;
the endoscopic image transmission module is used for carrying out image transmission processing on the stored shooting images;
the endoscopic image brightness enhancement module is used for carrying out brightness enhancement processing on the shooting image received by transmission;
the endoscopic image pixel enhancement module is used for carrying out pixel point enhancement restoration processing on the received endoscopic image and restoring the pixel points, so that the definition adjustment processing is carried out on the image, and the definition after the brightness enhancement of the image is improved.
Example 5:
an endoscopic image brightness enhancement storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method according to any of claims 1-7.
Example 6:
an automatic enhancement method for endoscope image brightness based on image secondary enhancement comprises the following steps:
s1, performing image shooting processing on the inside of a patient body through an endoscope shooting assembly, and respectively acquiring an image when a light supplementing lamp of the endoscope shooting assembly is turned off and an image when the light supplementing lamp of the endoscope shooting assembly is turned on;
s2, carrying out image frame extraction operation on the image at the endoscopic position, carrying out division processing on brightness distribution of the extracted image frame, and carrying out frame selection processing on the divided brightness distribution image;
s3, sorting the brightness distribution of each divided image through a low brightness step value, a medium brightness step value and a high brightness step value;
s4, confirming a maximum brightness value and a minimum brightness value, calculating the sum of the maximum brightness value and the minimum brightness value at the brightness distribution position of the image to obtain a sum, and then calculating to obtain an average value, namely confirming a proper brightness value through the average value;
s5, calculating the adjacent brightness difference value between each divided image frame;
s6, selecting the position of the divided image frame to which the maximum difference belongs;
s7, carrying out brightness enhancement operation on the position of the divided image frame to which the maximum value in each difference value belongs, adjusting the position to a proper brightness value, identifying the definition of the image after brightness enhancement, carrying out local dimming processing on the position of the identified blur, carrying out contour enhancement processing on the image, calculating adjustment coefficients among the brightness values of pixels of each divided image frame, and checking the influence of brightness enhancement;
s8, performing secondary enhancement processing on each adjusted image frame by utilizing a spectrum exchange contrast enhancement algorithm;
s9, carrying out brightness reduction on the blood vessels with the fuzzy condition after brightness enhancement, so that the blood vessels are obviously highlighted, carrying out brightness maintenance on the highlighted blood vessels, and carrying out brightness enhancement recovery processing on surrounding images to obtain the endoscope image after brightness enhancement.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope of the disclosure being indicated by the following claims.
Claims (10)
1. An automatic enhancing method for the brightness of an endoscope image based on image secondary enhancement is characterized by comprising the following steps:
s1, an endoscopic camera assembly collects and processes an image at an endoscopic position;
s2, extracting image frames of the image at the endoscopic position and dividing brightness;
s3, sorting the brightness distribution positions of the divided images through brightness steps;
s4, confirming a maximum brightness value and a minimum brightness value, and calculating a proper brightness value;
s5, calculating the adjacent brightness difference value between each divided image frame;
s6, selecting the position of the divided image frame to which the maximum difference belongs;
s7, performing brightness enhancement operation on the position of the divided image frame to which the maximum value in each difference value belongs, adjusting the position to a proper brightness value, and comparing the definition and the integrity of the divided image frame with the definition and the integrity of surrounding divided image frames;
s8, performing secondary enhancement processing on each adjusted image frame by utilizing a spectrum exchange contrast enhancement algorithm;
s9, performing enhancement processing on the image to obtain the endoscope image with enhanced brightness.
2. The method for automatically enhancing the brightness of an endoscopic image according to claim 1, wherein the step of the endoscopic image capturing assembly in S1 capturing the image of the endoscopic site specifically comprises the following steps:
s11, performing image shooting processing in a patient body through an endoscope shooting assembly;
s12, respectively acquiring an image when the light supplementing lamp of the endoscope image capturing assembly is turned off and an image when the light supplementing lamp of the endoscope image capturing assembly is turned on.
3. The method for automatically enhancing the brightness of an endoscopic image according to claim 2, wherein the image frame extraction and the brightness division in S2 specifically comprises the following steps:
s21, performing image frame extraction operation on an image at an acquisition endoscopic position;
s22, dividing the brightness distribution of the extracted image frames;
s23, performing frame selection processing on the divided brightness distribution image.
4. The method of claim 3, wherein the luminance step in S3 includes a low luminance step value, a medium luminance step value, and a high luminance step value.
5. The method for automatically enhancing the brightness of an endoscopic image according to claim 4, wherein said calculating the proper brightness value in S4 specifically comprises the steps of:
s41, calculating the sum of a maximum brightness value and a minimum brightness value at the brightness distribution of the image;
s42, calculating an average value after the sum is obtained, and confirming a proper brightness value through the average value.
6. The method of automatic enhancement of brightness of an endoscopic image according to claim 5, wherein the contrast and surrounding division image frames in S7 have sharpness and integrity comprising the steps of:
s71, recognizing the definition of the image with enhanced brightness, performing local dimming processing on the position of the recognized blur, and performing contour enhancement processing on the image;
s72, calculating adjustment coefficients among pixel brightness values of each divided image frame and checking the influence of brightness enhancement.
7. The method for automatically enhancing the brightness of an endoscopic image according to claim 6, wherein the step of enhancing the image in S9 to obtain the enhanced brightness endoscopic image specifically comprises the steps of:
s91, carrying out brightness reduction on the blood vessel with the fuzzy condition after brightness enhancement, so that the blood vessel is obviously highlighted;
s92, brightness of the highlighted blood vessel is maintained, and brightness enhancement recovery processing is performed on surrounding images.
8. The endoscope image brightness automatic enhancement system based on image secondary enhancement is characterized by comprising a brightness enhancement unit, an image restoration unit and a color value restoration unit, wherein the output end of the brightness enhancement unit is in communication connection with the input end of the image restoration unit, and the output end of the image restoration unit is in communication connection with the input end of the color value restoration unit;
the brightness enhancement unit is used for performing brightness enhancement processing on the video image shot by the endoscope;
the image restoration unit is used for performing fuzzy restoration processing on the enhanced video image;
the color value restoration unit is used for calculating to obtain RGB three-channel color values through the image with enhanced brightness;
wherein the endoscopic image brightness automatic enhancement system is operative to perform the steps of the method of any one of claims 1-7.
9. The automatic endoscope image brightness enhancement device based on the image secondary enhancement is characterized by comprising an endoscope camera shooting assembly, an endoscope image transmission module, an endoscope image brightness enhancement module and an endoscope image pixel enhancement module, wherein the output end of the endoscope camera shooting assembly is in communication connection with the input end of the endoscope image transmission module, the output end of the endoscope image transmission module is in communication connection with the input end of the endoscope image brightness enhancement module, and the output end of the endoscope image brightness enhancement module is in communication connection with the input end of the endoscope image pixel enhancement module;
the endoscope image pickup assembly is used for carrying out shooting processing through an endoscope and storing shot images;
the endoscopic image transmission module is used for carrying out image transmission processing on the stored shooting images;
the endoscopic image brightness enhancement module is used for carrying out brightness enhancement processing on the shooting image received by transmission;
the endoscopic image pixel enhancement module is used for carrying out pixel point enhancement restoration treatment on the received endoscopic image;
wherein the endoscopic image brightness automatic enhancement apparatus is operative to perform the steps of the method of any one of claims 1-7.
10. A storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method according to any of claims 1-7.
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