Double threshold image segmentation algorithm based on adaptive filtering

Aiming at the problem that double threshold image segmentation algorithm is bad for image segmentation due to noise pollution, an image segmentation method based on adaptive filtering and double threshold image segmentation is proposed. By using the adaptive filtering algorithm to the noise image anti-noise, and then uses the double threshold image segmentation algorithm to improve the segmentation effect. The experimental results show that the new method has a good segmentation effect on the noisy gray scale image, and can effectively deal with a variety of noise.