Research On Image Segmentation Method Based On Active Contour Model

Image segmentation is one of the key research fields of computer vision,as an important link in the process of image processing has decisive role.The segmentation methods based on parametric active contour model and geometric active contour model are favored by many scholars.In recent years,with the deepening of the research on image segmentation based on active contour model,its application scope and field have been further expanded.In this paper,the application algorithm of active contour model in image segmentation has been deeply studied.The main research contents and innovation points include:(1)Aiming at the defects of traditional Snake model algorithm,such as its sensitivity to the original target image noise,this paper proposes an improved algorithm denoises the original target image by balancing the weight of the pixel spatial domain and the weight of the range domain,so as to achieve the purpose of edge preserving an denoising.Before the improvement,the convolution template for the smoothing and denoising of the model was designed according to the distance between the current point and its neighboring points.The weight of the pixel points of the original target image changed with the distance between it and the noise points.The factors considered were relatively single,and the smoothing and denoising processing of the original target image could not be completed well.In the experimental process,the extraction effect of the edge contour of the same original target image was observed and analyzed by Snake model before and after improvement,and the accuracy and effectiveness of the improved Snake model proposed in this paper were verified.(2)According to the traditional level set model without re-initialized algorithm,the improved level set model without re-initialized algorithm proposed in this paper obtains a clearer and more intuitive image of the selected object edge contour during the extraction of the original target image object edge contour through the introduction of bilateral filter.The improved model in full consideration to the original target image pixel space domain and range domain under the premise of complete the processing of the original target image smoothing noise,make through smooth noise reduction processing image and target image as a whole and local features is consistent to the greatest extent,to the original target image object boundary of the subsequent accurate extraction and laid a good foundation.The simulation results show that,compared with the traditional level set segmentation method without re-initialization,the improved method can extract the edge contour of the object in the target image more accurately,and has better edge contour extraction effect.