Abstract
This paper makes the image edge detection aiming to microbial adhesion image, and establishes a new image binarization method based on the uneven characteristics of microbial adhesion. This method makes the captured image gray-scale and median filtering processing, and then gets the edge detection image and histogram respectively. For histogram, this algorithm first finds the gray value which corresponds to the maximum frequency and divides the histogram into two intervals, then gets the edge threshold in each interval and makes the image binarization.The edge detection image of binary image is compared with the filtering edge detection, when the two images coinciding edge points are the most, the binary image at this time is the final binary image. This method has a good result comparing with local threshold method?global threshold method and dynamic threshold method.
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