Cold light source abdominal image parameter adaptive real-time defogging method

Abstract

The invention discloses a cold light source abdominal image parameter adaptive real-time defogging method. The method comprises the steps that the frame rate of an abdominal image video signal is acquired, and a sampled frame of a video image is selected according to the frame rate; an original fog-containing image of the sampled frame is acquired; a dark channel map is obtained after the original fog-containing image is calculated according to the dark channel prior defogging principle, a transmissivity map of the dark channel map is calculated, and an autoregressive moving average method is adopted to calculate an atmosphere illumination coefficient of the dark channel map; the original fog-containing image, the dark channel map, the atmosphere illumination coefficient and the transmissivity map are utilized to solve a fog map imaging equation, and a defogged image is obtained; and the defogged image is output in real time to form a defogged video. Due to the fact that downsampling is adopted to solve the transmissivity of a high-definition image, the data volume needing to be processed is substantially reduced, and real-time performance of defogging is improved; moreover, the autoregressive moving average method is adopted to calculate the atmosphere illumination coefficient, and the defogged image is transferred into an HSV space for image enhancement, so that the dark side effect on the defogged image is eliminated.

Description

technical field [0001] The invention relates to the technical field of digital image processing of medical images, in particular to a real-time desmoke method suitable for self-adaptation of abdominal image parameters of a cold light source. Background technique [0002] With the continuous advancement of the medical level, laparoscopy has been widely used in various surgical operations. In some diseases, laparoscopic surgery has become the modality of choice for treatment. However, Laparoscopic lensfogging (LLF) often causes the operation to be suspended during surgery, which is equivalent to the sudden loss of vision of the surgeon, which greatly affects the fluency of the operation, and sometimes even causes unnecessary medical safety problems. LLF is a major obstacle to maintaining clear vision during laparoscopic surgery. It is caused by the slow accumulation of particles, blood, and smoke on the lens, often resulting in increased procedure time. The reason for the f...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problems of complex computation, slow processing speed, and poor real-time performance of the cold light source abdominal image removal method, this application provides a real-time anti-smoke method suitable for cold light source abdominal image adaptation, including steps:

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