Although there are varieties of image segmentation algorithms

no one is applicable to all images. In order that the image tracking system can select segmentation algorithm itself according to the object image feature

this paper presents an intelligent decision method Of image segmentation. Firstly

some representative segmentation algorithms are selected to form an algorithm library

using which various sample images are segmented; Secondly

decision information table is builtup based on diversified numerical features extracted from the sample images and the optimal segmentation algorithm of each sample image judged according to segmentation quality evaluation criterion; Finally

rough set theory is applied to diseretization and attribution reduction of decision information table

in order to make the decision rule of image segmentation algorithm seiection. The decision method solves a series of problems for segmentation algorithm selection in image tracking system. As experiment shows

it can effectively pick out the optimal segmentation algorithm from algorithm library according to the feature of the processed image

and also satisfy the real-time demand of image tracking system on vehicle.