师大学学院毕 业 论 文题 目图像二值化中阈值选取方法的讨论学生霍良学号09090628专业电子信息工程班级信工院 0906指导老师焦蓬蓬2024 年 4 月摘要在人类猎取的信息中，视觉信息约占 60%，听觉约占 20%，其它约占20%。由此可见，视觉信息对人类非常重要。同时，图像是人类猎取视觉信息的主要途径。图像二值化是图像预处理中的一项重要技术，在模式识别、光学字符识别、医学成像等方面都有重要应用。论 文 介 绍 了 图 像 与 数 字 图 像 处 理 技 术 的 一 些 概 念 和 相 关 知 识 ， 对Matlab7.0 软件的进展和软件在图像处理中的应用做了简要介绍，还介绍了灰度图像二值化方法以与利用 Matlab7.0 软件工具进行算法的实现。课题重点实现了图像分割技术中灰度图像二值化方法，如 Otsu 算法、Bernsen 算法，并对这些算法运行的实验结果进行分析与比较。 关键词：图像处理，二值化，Matlab，Otsu 算法，Bernsen 算法AbstractHuman beings obtain a lot of information, among which the visual information is about 60%, the sense of hearing about 20%, and others about 20%. Therefore,the visual information is very important for human beings. Moreover, the imagesare the primary way, by whicha lot of information is obtained. Image binarization, as an important technology in image pre-processing, is widely-employed in pattern recognition, optical character recognition, medical imaging and so forth. In this paper, some notions and relative knowledge in digital image processing technology are introduced; then, the development of Matlab7.0 and its application in image processing briefly introduced; in addition, the method of grayscale image binarization and how to implement these algorithms based on Matlab7.0 are presented. This paper mainlyimplements the grayscale image binarization method in image segmentation technology, such as Otsu algorithm and Bernsen algorithm, and analyzes and compares the experimental results of the above algorithms.Key words:Image...
