The Research Of Algae Image Denoising Algorithm Based On Mathematical Morphology

With the increasing popularity of the computer in the information age, people on the digital image quality requirements more and more high. But digital image in the collection and transmission in the process, is inevitable to be affected noise pollution, noise worsened image quality, make the image become blurred, and even submerged image features, the image in the following high level processing is very bad, therefore, in the image preprocessing stage, it is necessary to do image noise reduction, so can improve the image signal-to-noise ratio, eliminate confounding in the image of interference, improve image quality, strengthen the image features.Based on digital image denoising method as the research object, on a mathematical morphology denoising algorithm as the research direction, the first comprehensive analysis the image noise, and the algae image and noise characteristics of a preliminary analysis, and then summarizes the basic theory of mathematical morphology processing and image segmentationFinally, this paper proposes a novel filtering method, the image segmentation and morphological processing combination of seaweed image filtering, the experimental results of the simulation verifies that this method is simple and effective, and the image of seaweed to realize better filtering effect.