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Optimizationg and Realization of Median Filtering Algorithm in Image Processing

Author: SongYang
Tutor: JingXiaoJun
School: Beijing University of Posts and Telecommunications
Course: Military Communication
Keywords: Median filter Multi-level Direction Extremum Threshold
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 291
Quote: 4
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Abstract


With the continuous development of computer technology , digital image processing technology has been more intense attention and a wider range of applications . Many new theories and methods continue to emerge. In the practical application of the process , the interference due to the communication channel and the equipment, the environment , and other factors , the image signal in the generation, transmission and recording process , often by the interference of the various noises . The digital image of the original signal always coexist and noise and . Due to the noise seriously affected the image of the visual effects , thus making the edge detection , image segmentation, feature extraction, pattern recognition , etc. , using appropriate methods to reduce noise before , that image noise filtering is a very important pre- processing steps. So filtering algorithms filter out the noise has always been a hot spot of the field of image processing research . The requirements for image filtering the , both filtered image noise while preserving image detail . Aliasing due to noise and image detail , image filtering , image noise reduction and detail retention is often a contradiction . Image filtering is a very important technical aspects of image processing , is still a hot research field of image processing paper first introduces the basic concepts of digital image processing , and median filtering and basic image filtering technology research . Then this article focused on defects median filtering algorithm in image noise reduction and protection details , depending on the direction of the two improved algorithms . Adaptive multistage median filtering algorithm based on the direction of the multi-level median filtering . The authors hope that through the strengthening of the direction of the judge , to better protect the image texture detail . Another is based on extreme value median filtering extremum median filtering algorithm based on the threshold and ratio . Of First hope that through better classification of the extreme points , the protection of the details of the image , and then want to determine the ratio of the algorithm to better adapt to the noise in actual , not just theoretical model .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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