The Study Of Image Segmentation Algorithm Based On The Threshold

In digital image processing,image segmentation is a very basic and very important issuecomputer vision field of ,it is a key steps between image processing and image analysis.Image segmentation provide basic data for image analysis.Therefore in image segmentation image processing occupies a very important position.Image segmentation is the core content of the target image from background will be isolated.Image segmentation technology after all these years of development,has proposed a wide variety of segmentation method,it can be attributed to the segmentation method based on the threshold segmentation method,based on edge,based on the regional segmentation method three forms.At present,the image segmentation technology in many fields,such as the extensive use of the industrial automation,satellite remote sensing,transportation computer vision,medical image processing and pattern recognition,etc.Image segmentation technology is practical work of concern a problem.This paper first according to the years of scholars both at home and abroad research on image processing theory covering content is introduced,and then the image segmentation algorithm is proposed to explain,one species of different algorithm and technology are analysised.Then the main research key of this paper is the following three aspects:In the first,we are based on the threshold segmentation method research,mainly for the Otsu method between study and research,and the two Otsu method make improvements,and get reults by MATLAB simulation.Secondly,combining the wavelet anlysis,popular in the image segmentation based on wavelet analysis,based on wavelet analysis threshold segmentation algorithm has conducted the preliminary research.Finally, through one-dimensional, 2d, 3d and improved algorithm, and puts forward the contrast for different conditions of using different segmentation algorithm model structure of the system.