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所在平台: Udemy |
课程主页: https://www.udemy.com/course/fundamentals-of-image-morphology/
课程评论：没有评论
课程名称：图像形态学基础 课程概述： 本课程旨在通过使用OpenCV和流行的编程语言Python，教授图像形态学的基本原理，帮助学习者掌握图像处理的基础知识。课程专为初学者设计，帮助学生理解图像作为RGB像素强度数组的处理方式，以及使用结构元素进行形态学基本操作。通过应用OpenCV和Python，学习者能创建如形态梯度、开运算、闭运算、膨胀、腐蚀、黑帽和白帽等效果。 课程内容包括： - 图像形态学的介绍 - 使用卷积将结构元素应用于图像 - 使用OpenCV和Python构建并逐步展开的Jupyter笔记本 - 学习多种形态学效果的实现 课程特点： - 适合初学者，尤其是更偏向于视觉化学习的用户 - 通过超过10节课程，学习如何使用OpenCV和Python执行图像形态学操作 - 提供视觉化训练方法，增强学习保留率并加速学习过程 - 将复杂的应用分解为简单步骤，同时提供挑战和解决方案以巩固概念 学习图像形态学的基础将赋予学员一个强大的工具，特别适用于图像处理和计算机视觉应用，涵盖物体检测、X光增强、车牌识别、自动驾驶等众多日常应用。掌握OpenCV和Python将为从事图像处理行业的学习者提供竞争优势，且多个知名公司（如谷歌、Facebook、微软等）已在信息检索和社交平台中应用形态学，显著提升了工作效率。
Course DescriptionLearn to process images by learning fundamentals of image morphology 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 RGB pixel intensitiesLearn basics of morphology using restructuring elementsLeverage OpenCV and Python to perform moprphology to create effects like morphological gradient, opening, closing, dilation, erosion, black hat and white hatUser Jupyter Notebook for programmingUse step by step instructions along with plenty of examplesA Powerful Skill at Your Fingertips Learning the fundamentals of image morphology puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.Image morphology is ubiquitous in everyday applications such as object detection, X-ray enhancements, license plate 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 morphological tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image morphology in action. Convolutional neural network (CNN) uses these techniques to find type of images. Deep neural network inside CNN learns these patterns by trying out various kernels to match image with target image.Image morphology tasks are vital in information retrieval and computer vision applications. Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using image morphology in information retrieval and social platforms. They claimed that using image morphology has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to morph images using opencv, python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to image morphologyLearn how to apply restructuring element to image using convolutionBuild an jupyter notebook step by step using opencv and python and learn effects like morphological gradient, opening, closing, dilation, erosion, black hat and white hat.What am I going to get from this course?Learn fundamentals of image morphology and build image morphological tasks from professional trainer from your own desk.Over 10 lectures teaching you how to perform image morphology 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.
