Research On Medical Electronic Endoscope Image Processing Technology

With the medical electronic endoscope having been made full use of in the clinic operation, more and more attention is being paid to the medical endoscope image processing technology. In allusion to the characteristic of medical endoscope image, we survey the recent techniques of endoscope image processing. The merits and drawbacks of typical methods were discussed too. Finally, some promising research directions and hotspots are suggested.For wavelet transform, wavelet coefficients domain processing and threshold estimation are important problems. Based on these ideas, a probability model based on the adaptive dyadic wavelet denoising (ADWD) is proposed. Using the connection of image information, noise information, and wavelet coefficients,. ADWD identifies noise pelses by a local adaptive model and avoids the difficulty of directly ensuring noise threshold. Experimental results and analysis are given to demonstrate the validity of the proposed model for Gaussian noise and Pepper noise, and the ability of keeping images details.Specular detection and removal are always hot problems in endoscope image processing. Advanced results have a great impact on endoscope operation. In this paper, a specular detection and removal algorithm is proposed. First, it established the lateral inhibition model and picked up the variance information in the image, and then reversely used the lateral inhibition model in order to detect specular. Second, the algorithm accounted the range of specular and removed specular. Different from traditional ways, the algorithm has the ability to retain the detail of image. Experimental results show that this method can remove specular effectively and adapt to the timely endoscope image processing.Finally, a software model for medical electronic endoscope is written, which includes image process software and file management software.