【精品】毕业论文：基于区域合并的纹理图像分割—MSRM算法的MATLAB实现.doc

本科毕业设计 题目： 基于区域合并的纹理图像分割—MSRM算法的MATLAB实现 学 院: 信息科学与工程学院 专 业: 学 号: 20004135150 学生姓名: 指导教师: 日 期: 20/5/30  摘 要 关键词： ；； ；；  Abstract Image segmentation is the important elements of image analysis and computer vision systems ，and it is a fundamentalproblem in image processing。 Image segmentation is a key step that from image processing to the image analysis。Only on the basis of image segmentation to object feature extraction, parameter measurement and recognition，which make it possible to analysis and understanding of the higher-level image, and the quality of image segmentation directly affects the effect ofsubsequent image processing. Therefore, we conclude that image segmentation is the most important part of image processing. Region-based image segmentation method is divided into many regions according to the contents of the image。Although there is over-segmentation，studing improved algorithm can reduce the over-segmentation or choosing an effective post-processing algorithms are useful results. For example, in both Mean Shiftt and Watershed image segmentation algorithm, One can study a variety of improved algorithm to reduce over-segmentation, On the other hand, effective pretreatment can also be used to remove noise, and make the image suitable for Mean Shiftt and Watershed segmentation algorithm. MSRM is a algorithm which based on the maximum similarity of the region merging, the proposed algorithm is efficient and effective, it does not require a preset threshold and can successfully extract the single objective and multi-target image from complex scenes . In this design, calculate the similarity of adjacent regions afte the extration of image color features and texture features, under the guidance of interaction information ,a maximal similarity based region merging mechanism was proposed to gradually merged the initial over-segmentation of regions. Then separated the target and background from image. Keywords: MSRM; Region