An Analysis Of Image Segmentation Based On Otsu Method And Mathematic Morphology

Image segmentation is one of the basic and important techniques in computer vision, and it is a pivotal technique in image process, analysis and image engineering. The study on the image segmentation is always one of the key points in the image segmentation technique study, many image segmentation algorithms are advanced, and it is widely used in computer vision pattern recognition and medicine image processing.Threshold image segmentation method is in common use in the image segmentation. It distingusihes the image into objects and background by picking threshold, so the threshold picking is the key technique. The Otsu method is often used as one of the threshold image segmentation methods, which is based on histogram, chooses threshold by analysing image gray level information. But this method is ineffective when facing complex image, such as image with low SNR or gray level discrepancy and tiny area, the algorithms effect decrease, even occur errors.Aiming at the shortage of Otsu segmentation algorithm, this paper studies different algorithms, focuses on different military objects'infrared image segmentation methods that combine with the Otsu method, and advances a improved method. The new method not only considers the gray information of the image, but the related information of domain space to ensure the accuracy of image segmentation. And then aiming at the hole in the segmentation result, this paper fills the hole with Mathematic Morphology to get the best results.This paper does the experiment with the improved method for the validity, as the result shows, this algorithm is feasible and credible,and gives an ideal image segmentation outcome, and it is more fast and steady than conventional method.