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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/automating-image-processing
课程评论：没有评论
课程名称：自动化图像处理 课程概述：本课程将基于您在图像分割、滤波和区域分析中获得的技能，深入探索大规模图像和视频文件的处理。在处理大型数据集时，手工检查结果是不切实际的，因此自动化图像处理可以更高效地完成您的工作。课程结束时，您将应用在本专业中学到的所有技能完成一个最终项目，您将扮演一名工程师，负责监控繁忙道路上的交通，检测嘈杂视频中的汽车并分析结果。 课程中您将使用MATLAB。MATLAB是数百万工程师和科学工作者的首选工具，提供了您完成图像处理任务所需的功能。在课程期间，您将免费获得MATLAB的使用权限，以便完成作业。 为了成功完成本课程，您应该具备基础数学知识和一定的MATLAB接触。如果您想熟悉MATLAB，可以参考免费的两小时MATLAB Onramp课程。图像处理经验不是必要的。 课程大纲： - 第1部分：处理图像批次 - 第2部分：处理视频文件 - 第3部分：结果分析 - 第4部分：最终项目：检测嘈杂视频中的汽车
Part: 1
Title:Processing Batches of Images
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Part: 2
Title:Working with Video Files
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Part: 3
Title:Analyzing Results
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Part: 4
Title:Final Project: Detecting Cars in a Noisy Video
Description:
In this course, you will build on the skills acquired in Image Segmentation, Filtering, and Region Analysis to explore large sets of images and video files. It’s impractical to manually inspect results in large data sets. Automating image processing allows you to do your work more efficiently. At the end of this course, you’ll apply all the skills learned in this specialization to a final project. You’ll take the role of an engineer being asked to monitor traffic on a busy road. You’ll detect cars from a noisy video and analyze the results. 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.
