این دوره بینایی رایانه و پردازش تصویر در LabVIEW را آموزش می دهد. در این آموزش تصویری با مفاهیم پایه ، ابزارها ، ویژگی ها و توابع برنامه LabVIEW ، ساخت برنامه های کاربردی ، پردازش تصویر با simplecv ، کار با Matlab و الگوریتم های پردازش تصویر آشنا می شوید.

این دوره آموزشی محصول موسسه Udemy است.

سرفصل های دوره:

  • مبانی LabVIEW
  • نصب LabVIEW
  • کار با ماژول ها
  • گرفتن تصاویر از دوربین
  • نحوه تبدیل به LabVIEW VI
  • مقدمه ای بر پردازش رنگ
  • نحوه تقسیم بندی رنگ
  • نحوه پردازش رنگ
  • کار با خطوط و Edges
  • مقدمه ای بر تشخیص Edges
  • تشخیص خط ساده
  • تشخیص ویژگی های پیشرفته
  • نحوه تطبیق الگو
  • تشخیص کاراکتر نوری OCR
  • نحوه تطبیق الگو
  • نحوه ردیابی شی
  • نحوه تشخیص بارکد
  • کار با اسلایدها
  • نحوه تست برنامه
  • استفاده از یک دوربین
  • پردازش تصویر در FPGA
  • و…

عنوان دوره: Udemy Learn Computer Vision and Image Processing in LabVIEW
مدت زمان: 4 ساعت
نویسنده: Ritesh Kanjee


توضیحات:

Udemy Learn Computer Vision and Image Processing in LabVIEW

Ritesh Kanjee
4 hours
All Levels

Learn Computer Vision and Image Processing From Scratch in LabVIEW and build 9 Vision-based Apps
LATEST: Course Updated For March 2016 OVER 1200+ SATISFIED STUDENTS HAVE ALREADY ENROLLED IN THIS COURSE!
Learn the basic concepts, tools, and functions that you will need to build fully functional vision-based apps with LabVIEW and LabVIEW Vision Development Toolkit.
Together we will build a strong foundation in Image Processing with this tutorial for beginners.
LabVIEW Vision Development Toolkit Download and Installation
Basic Feature Detection
Circle, Color and Edge Detection Algorithms
Advance Feature Detection - Pattern Matching, Object Tracking, OCR, BarCodes
A Powerful Skill at Your Fingertips
Learning the fundamentals of Image processing puts a powerful and very useful tool at your fingertips. Learning Computer Vision in LabVIEW is easy to learn, has excellent documentation, and is the base for prototyping all types of vision-based algorithms.
Jobs in image processing are plentiful, and being able to learn computer and machine vision will give you a strong background to more easily pick up other computer vision tools such as OpenCV, Matlab, SimpleCV etc.
Content and Overview
Suitable for beginning programmers, through this course of 26 lectures and over 4 hours of content, you'll learn all of the Computer Vision and establish a strong understanding of the concept behind Image Processing Algorithms. Each chapter closes with exercises in which you will develop your Own Vision-Based Apps, putting your new learned skills into practical use immediately.
Starting with the installation of the LabVIEW Vision Development Toolkit, this course will take you through the main and fundamental Image Processing tools used in industry and research. At the end of this course you will be able to create the following Apps:
App 1 - Counting M&Ms in an Image,
App 2 - Color Segmentation and Tracking,
App 3 - Coin Blob detection
App 4 - Blob Range Estimation
App 5 - Lane Detection and Ruler Width Measurement
App 6 - Pattern or Template Matching to detect Complex Objects
App 7 - Object Tracking
App 8 - Bar code Recognition
App 9 - Optical Character Recognition (OCR)
With these basic and advanced algorithms mastered, the course will take you through the basic operation of the theory behind each algorithm as well how they applied in real world scenarios.
Students completing the course will have the knowledge to create functional and useful Image Processing Apps.
Complete with working files, datasets and code samples, you'll be able to work alongside the author as you work through each concept, and will receive a verifiable certificate of completion upon finishing the course. We also offer a full Udemy 30 Day Money Back Guarantee if you are not happy with this course, so you can learn with no risk to you.
See you inside this course.
What are the requirements?
A computer or laptop - With Window 7 or later, > 2Gb of RAM (4Gb Reccomended) , 1.5Ghz Processor or higher (Multicore Core 2Ghz processor Recommended).
LabVIEW licence if possible or can use trial license
Have an internet connection to download LabVIEW
What am I going to get from this course?
Over 30 lectures and 4 hours of content!
Develop 9 Vision Based Apps in LabVIEW
Understand the fundamentals of Image Processing
The difference between computer and machine vision as well as their applications
Theory behind each image processing algorithm
How to apply the image processing algorithms for real life purposes
What is the target audience?
Those who want to learn Image Processing and Computer Vision
Those who are tired of complex coding with OpenCV, Matlab and Python
Those who are fascinated with image processing and computational intelligence as well as AI

Section 1: Basics of LabVIEW Vision Development Module
Lecture 1
Introduction to LabVIEW Computer and Machine Vision Course
02:02
Lecture 2
Download & Install LabVIEW development Module
06:59
Lecture 3
What is Computer Vision and Machine Vision
08:05
Lecture 4
[Exercise] Acquiring Images from Camera
07:20
Lecture 5
[Exercise] Overlaying Text and Converting to LabVIEW VI
05:59
Lecture 6
Introduction to Machine Vision and Computer Vision Slides
8 pages
Section 2: Color Processing
Lecture 7
Introduction to Color Processing
05:42
Lecture 8
[Exercise] First App - Count M&Ms in an image
09:07
Lecture 9
[Exercise] Second App - Color Segmentation and Tracking
12:17
Lecture 10
Color, Segmentation and Detection Slides
14 pages
Quiz 1
Color Processing
3 questions
Section 3: Basic Feature Detection
Lecture 11
Introduction to Feature Detection
05:14
Lecture 12
[Exercise] Third App - Coin Blob Detection
07:04
Lecture 13
[Exercise] Fourth App - Blob Range Estimation
14:38
Lecture 14
Feature Detection Slides
9 pages
The slides of Section 3 - Basic Feature Detection, are downloadable here.
Section 4: Lines and Edges
Lecture 15
Introduction to Edge Detection
08:01
Lecture 16
[Exercise] Fifth App - Ruler Edge Measure and Simple Lane Detection
08:33
Lecture 17
Lines and Edges Slides
11 pages
The slides of Section 4 - Lines and Edges, are downloadable here.
Section 5: Advanced Feature Detection
Lecture 18
Advanced Feature Detection - Template Matching
07:02
Lecture 19
Advanced Feature Detection - Optical Flow
02:37
Lecture 20
Advanced Feature Detection - Optical Character Recognition (OCR)
02:18
Lecture 21
Advanced Feature Detection - Bar Code Recognition (OCR)
01:33
Lecture 22
Advanced Feature Detection - Feature Correspondence
04:16
Lecture 23
[Exercise] Sixth App - Pattern Matching
08:59
Lecture 24
[Exercise] Seventh App - Object Tracking
03:34
Lecture 25
[Exercise] Eigth App - Barcode Recognition
05:21
Lecture 26
[Exercise] Ninth App - Optical Character Recognition (OCR)
05:14
Lecture 27
Advanced Feature Detection Slides
30 pages
Quiz 2
Additional Quiz
5 questions
Quiz that requires additional research to answer. Answers may or may not be found in this course.
Section 6: Bonus Section
Lecture 28
A 3-Step Vehicle Detection Framework for Range Estimation Using a Single Camera
11:36
Lecture 29
A Very Special Bonus for You My Current Udemy Students! Check It Out Here!
3 pages
Lecture 30
Image processing on FPGA using LabVIEW [Journal Article]
8 pages