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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/image-segmentation
课程评论：没有评论
课程名称：图像分割、滤波与区域分析 概述：本课程将基于《图像处理入门》中学习的技能，处理图像处理中常见的问题，如噪声。您将使用空间滤波器来应对不同类型的伪影，学习新的分割方法，比如边缘检测和聚类。此外，您还将分析感兴趣的区域，并计算诸如大小、方向和位置等属性。完成本课程后，您将能够在自己处理的图像中分离和分析区域。课程的实际应用将包括对大脑MRI图像的分割，以分离不同的组织。 本课程将在整个过程中使用MATLAB。MATLAB是数百万工程和科学工作者的首选工具，为完成图像处理任务提供了所需的功能。在课程期间，您将免费获得MATLAB的使用权限，以便完成作业。 成功参与本课程的前提是具备基本的数学背景和一定的MATLAB使用经验。如果您想熟悉MATLAB，可以查看免费的两小时MATLAB入门课程。图像处理经验并不是必需的。 课程大纲： 1. 空间滤波与边缘检测 2. 改进分割 3. 高级分割方法 4. 计算区域属性
Name:Spatial Filtering and Edge Detection
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Name:Improving Segmentation
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Name:Advanced Segmentation Approaches
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Name:Calculating Region Properties
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In this course, you will build on the skills learned in Introduction to Image Processing to work through common complications such as noise. You’ll use spatial filters to deal with different types of artifacts. You’ll learn new approaches to segmentation such as edge detection and clustering. You’ll also analyze regions of interest and calculate properties such as size, orientation, and location. By the end of this course, you’ll be able to separate and analyze regions in your own images. You’ll apply your skills to segment an MRI image of a brain to separate different tissues. You will use MATLAB throughout this course. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your image processing tasks. You will be provided with free access to MATLAB for the duration of the course to complete your work. To be successful in this course you should have a background in basic math and some exposure to MATLAB. If you want to familiarize yourself with MATLAB check out the free, two-hour MATLAB Onramp. Experience with image processing is not required.
