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所在平台: Udemy |
课程主页: https://www.udemy.com/course/fundamentals-of-image-processing-using-python-and-opencv/
课程评论：没有评论
**Coursera 课程《Python 与 OpenCV 图像处理基础》内容摘要** 本课程专为初学者设计，旨在教授使用 Python 和 OpenCV 进行图像处理的基础知识。通过本课程，您将学习到： * **图像处理基础：** 理解图像如何被表示为 RGB 像素强度数组，以及图像处理的基本概念。 * **OpenCV 和 Python 实践：** 掌握使用 Python（一种流行的编程语言）结合 OpenCV 库（免费、易学且文档完善）进行图像操作。 * **核心图像操作：** 能够执行图像裁剪、旋转、翻转、蒙版（masking）等关键图像处理任务。 * **Jupyter Notebook 应用：** 学习如何使用 Jupyter Notebook 进行编程，并逐步构建您的第一个交互式图像处理环境。 * **实际应用场景：** 了解图像处理在目标检测、X 射线增强、车牌识别、自动驾驶、老照片修复等众多领域的广泛应用，并认识到其作为计算机视觉和机器学习领域先决条件的重要性。 * **职业发展优势：** 学习图像处理相关的技能，包括 Python 和 OpenCV，将为您在人工智能、电子商务（如亚马逊、沃尔玛、谷歌）、信息检索和社交平台（如谷歌、Facebook、微软、Airbnb、LinkedIn）等行业的海量工作机会中提供强有力的竞争优势。 **课程特色：** * **循序渐进的教学：** 提供分步指导和丰富的实例，使学习过程清晰易懂。 * **可视化学习方法：** 通过直观的视觉训练方式，提高学习者对概念的记忆和理解速度。 * **化繁为简：** 将复杂的应用分解为简单的步骤，降低学习门槛。 * **强化练习：** 提供挑战题和相应的解决方案，以巩固所学知识。 * **专业指导：** 由专业讲师授课，在家即可系统学习图像处理技术。 本课程包含 10 多个讲座，非常适合初学者和更喜欢通过演示学习的学员。通过本课程，您将获得一项强大且实用的技能。
Course DescriptionLearn to process images by learning fundamentals of image operations using opencv and popular programming language Python.Build a strong foundation in Image Processing with this tutorial for beginners.Understanding of how images are processed as array of RFB pixel intensitiesLeverage OpenCV and Python to perform cropping, rotation, masking, flipping on imagesUser Jupyter Notebook for programmingUse step by step instructions along with plenty of examplesA Powerful Skill at Your Fingertips Learning the fundamentals of image processing puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.Image processing is ubiquitous in everyday applications such as object detection, X-ray enhancements, license plat detections, autonomous car driving, restoration of antique photos. Its also pre-requisite for computer vision applications using machine learning.Jobs in image processing area are plentiful, and being able to learn opencv and python will give you a strong edge.Image processing tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image processing in action. Image processing tasks are vital in information retrieval and computer vision applications. Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using image processing in information retrieval and social platforms. They claimed that using image processing has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to bprocess images using opencv, python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to image processingLearn how to rotate, flip, crop and mask imagesBuild an jupyter notebook step by step using opencv and pythonWhat am I going to get from this course?Learn fundamentals of image processing and build image processing tasks from professional trainer from your own desk.Over 10 lectures teaching you how to perform image processing using opencv and pythonSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
