One New Improvement Image Segmentation Method Based On Immune Genetic Algorithm And Rough Set

Image engineering is a subject that has been developed in recent years, and it has many contents. According to the degree of abstract and the investigate methods, the research on it can be divided into three levels: image processing, image analysis and image comprehension. One of image processing goals is the pattern recognition, but the image segmentation and the survey are the pattern recognition work foundations. The image segmentation is that the image is divided into to the significance some regions, then carried on the description to these regions, equal in withdrawing the characteristic of certain target sector images, at last judged image whether it has the interested goal.Some scholars proposed one new kind design concept of immunity network algorithm in the data analysis, recently also other scholars had gather the rough collection to propose one new kind of segmentation algorithm, this algorithm obtaining the very good segmentation effect in the human brain MRI image segmentation experiment, but because of FCM algorithm itself flaw (to connectivity between region indefinite), the algorithm has some problems in the general application.The paper based on the immunity heredity classification algorithm proposed one kind studies the method determination cluster number and the cluster center immunity heredity cluster algorithm through the non-teacher; Then, at in some scholar research work foundation, in view of the rough centralism attribute reduction algorithm order of complexity high question, proposed one kind of improvement algorithm, reducing the attribute reduction algorithm order of complexity; Finally the immunity genetic algorithm which the non-teacher studies builds up roughly gathers obtained one kind of improvement segmentation algorithm, avoids the forecited algorithm needing to establish the cluster number and the cluster center, to the region connective indefinite flaw beforehand, and enhances the segmentation accuracy.Moreover immunity genetic algorithm itself has the cluster speed to be quick and high precision merit.Confirmed after the experiment, the new algorithm enhances the cluster speed, is more careful to the image segmentation, accurately, and increases the segmentation algorithm efficiency.