<!-- udacimak v1.2.1 -->
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<title>Hough Transform</title>
<link rel="stylesheet" href="../assets/css/bootstrap.min.css">
<link rel="stylesheet" href="../assets/css/plyr.css">
<link rel="stylesheet" href="../assets/css/katex.min.css">
<link rel="stylesheet" href="../assets/css/jquery.mCustomScrollbar.min.css">
<link rel="stylesheet" href="../assets/css/styles.css">
<link rel="shortcut icon" type="image/png" href="../assets/img/udacimak.png" />
</head>
<body>
<div class="wrapper">
<nav id="sidebar">
<div class="sidebar-header">
<h3>Computer Vision Fundamentals</h3>
</div>
<ul class="sidebar-list list-unstyled CTAs">
<li>
<a href="../index.html" class="article">Back to Home</a>
</li>
</ul>
<ul class="sidebar-list list-unstyled components">
<li class="">
<a href="01. Power of Cameras.html">01. Power of Cameras</a>
</li>
<li class="">
<a href="02. Setting up the Problem.html">02. Setting up the Problem</a>
</li>
<li class="">
<a href="03. Color Selection.html">03. Color Selection</a>
</li>
<li class="">
<a href="04. Color Selection Code Example.html">04. Color Selection Code Example</a>
</li>
<li class="">
<a href="05. Color Selection.html">05. Color Selection</a>
</li>
<li class="">
<a href="06. Region Masking.html">06. Region Masking</a>
</li>
<li class="">
<a href="07. Color and Region Combined.html">07. Color and Region Combined</a>
</li>
<li class="">
<a href="08. Color Region.html">08. Color Region</a>
</li>
<li class="">
<a href="09. Finding Lines of Any Color.html">09. Finding Lines of Any Color</a>
</li>
<li class="">
<a href="10. What is Computer Vision.html">10. What is Computer Vision?</a>
</li>
<li class="">
<a href="11. Canny Edge Detection.html">11. Canny Edge Detection</a>
</li>
<li class="">
<a href="12. Canny to Detect Lane Lines.html">12. Canny to Detect Lane Lines</a>
</li>
<li class="">
<a href="13. Canny Edges.html">13. Canny Edges</a>
</li>
<li class="">
<a href="14. Hough Transform.html">14. Hough Transform</a>
</li>
<li class="">
<a href="15. Hough Transform to Find Lane Lines.html">15. Hough Transform to Find Lane Lines</a>
</li>
<li class="">
<a href="16. Hough Transform.html">16. Hough Transform</a>
</li>
</ul>
<ul class="sidebar-list list-unstyled CTAs">
<li>
<a href="../index.html" class="article">Back to Home</a>
</li>
</ul>
</nav>
<div id="content">
<header class="container-fluild header">
<div class="container">
<div class="row">
<div class="col-12">
<div class="align-items-middle">
<button type="button" id="sidebarCollapse" class="btn btn-toggle-sidebar">
<div></div>
<div></div>
<div></div>
</button>
<h1 style="display: inline-block">14. Hough Transform</h1>
</div>
</div>
</div>
</div>
</header>
<main class="container">
<div class="row">
<div class="col-12">
<div class="ud-atom">
<h3><p>title</p></h3>
<div>
<h1 id="using-the-hough-transform-to-find-lines-from-canny-edges">Using the Hough Transform to Find Lines from Canny Edges</h1>
</div>
</div>
<div class="divider"></div><div class="ud-atom">
<h3><p>Hough Intro</p></h3>
<video controls>
<source src="14. Hough Intro-JFwj5UtKmPY.mp4" type="video/mp4">
<track default="false" kind="subtitles" srclang="zh-CN" src="14. Hough Intro-JFwj5UtKmPY.zh-CN.vtt" label="zh-CN">
<track default="true" kind="subtitles" srclang="en" src="14. Hough Intro-JFwj5UtKmPY.en.vtt" label="en">
</video>
<div class="jumbotron" style="margin-top: 50px; margin-bottom: 50px;">
<h3>INSTRUCTOR NOTE:</h3>
<hr />
<p>In image space, a line is plotted as x vs. y, but in 1962, Paul Hough devised a method for representing lines in parameter space, which we will call “Hough space” in his honor. </p>
<p>In Hough space, I can represent my "x vs. y" line as a point in "m vs. b" instead. The Hough Transform is just the conversion from image space to Hough space. So, the characterization of a line in image space will be a single point at the position (m, b) in Hough space. </p>
</div>
</div>
<div class="divider"></div><div class="ud-atom">
<h3><p>stuff</p></h3>
<div>
<hr />
<p>So now I’d like to check your intuition… if a <strong>line</strong> in image space corresponds to a <strong>point</strong> in Hough space, what would <strong>two parallel lines</strong> in image space correspond to in Hough space?</p>
</div>
</div>
<div class="divider"></div><div class="ud-atom">
<h3><p>nd013 image parallel lines to hough</p></h3>
<div>
<figure class="figure">
<img src="img/22-q-hough-intro-quiz.png" alt="" class="img img-fluid">
<figcaption class="figure-caption">
</figcaption>
</figure>
</div>
</div>
<div class="divider"></div><div class="ud-atom">
<h3><p>hough_quiz1</p></h3>
<div>
<form>
<fieldset>
<legend><p>What will be the representation in Hough space of two parallel lines in image space?</p></legend>
</fieldset>
<div>
<input type="radio" value="a1473040826991" name="184324" id="a1473040826991">
<label for="a1473040826991"><p>A</p></label>
</div>
<div>
<input type="radio" value="a1473040828562" name="184324" id="a1473040828562">
<label for="a1473040828562"><p>B</p></label>
</div>
<div>
<input type="radio" value="a1473040829307" name="184324" id="a1473040829307">
<label for="a1473040829307"><p>C</p></label>
</div>
<div>
<input type="radio" value="a1473040830024" name="184324" id="a1473040830024">
<label for="a1473040830024"><p>D</p></label>
</div>
</form>
</div>
</div>
<div class="divider"></div><div class="ud-atom">
<h3><p>hough_text2</p></h3>
<div>
<p>Alright, so a line in image space corresponds to a point in Hough space. What does a point in image space correspond to in Hough space?</p>
<p>A single point in image space has many possible lines that pass through it, but not just any lines, only those with particular combinations of the m and b parameters. Rearranging the equation of a line, we find that a single point (x,y) corresponds to the line b = y - xm. </p>
<p>So what is the representation of a <strong>point</strong> in image space in Hough space?</p>
</div>
</div>
<div class="divider"></div><div class="ud-atom">
<h3><p>nd013 image point to hough</p></h3>
<div>
<figure class="figure">
<img src="img/23-q-hough-second-quiz.png" alt="" class="img img-fluid">
<figcaption class="figure-caption">
</figcaption>
</figure>
</div>
</div>
<div class="divider"></div><div class="ud-atom">
<h3><p>hough_quiz2</p></h3>
<div>
<form>
<fieldset>
<legend><p>What does a point in image space correspond to in Hough space?</p></legend>
</fieldset>
<div>
<input type="radio" value="a1473041175741" name="184327" id="a1473041175741">
<label for="a1473041175741"><p>A</p></label>
</div>
<div>
<input type="radio" value="a1473041176707" name="184327" id="a1473041176707">
<label for="a1473041176707"><p>B</p></label>
</div>
<div>
<input type="radio" value="a1473041177286" name="184327" id="a147
Part 01-Module 01-Lesson 03-Computer Vision Fundamentals
需积分: 0 146 浏览量
2023-12-24
14:56:36
上传
评论
收藏 44.01MB ZIP 举报
Part 01-Module 01-Lesson 03_Computer Vision Fundamentals.zip （67个子文件） 
Part 01-Module 01-Lesson 03_Computer Vision Fundamentals 
11. Canny Edge Detection-Av2GsgQWX8I.mp4 8MB
11. canny and gradient-LQM--KPJjD0.zh-CN.vtt 1KB
13. Canny Edges.html 8KB 14. Hough Intro-JFwj5UtKmPY.en.vtt 2KB 09. Finding Lines of Any Color.html 7KB 01. 01 Introduction A01 Power Of Cameras-lCPWJEEzUeo.mp4 2.06MB media 
test.jpg 144KB
lines_painted.png 154KB exit_ramp_hough_masked.jpg 179KB test_color_masked.jpg 22KB hough_test.jpg 206KB exit-ramp.jpg 94KB exit_ramp_edges.jpg 172KB test_color_selected.jpg 42KB 08. Color Region.html 10KB 11. Canny Edge Detection.html 9KB 14. sine Hough-XQf7FOhwOVk.zh-CN.vtt 2KB 14. Hough Quiz 5-upKjISd3aBk.en.vtt 294B 15. Hough Transform to Find Lane Lines.html 11KB 11. Canny Edge Detection-Av2GsgQWX8I.en.vtt 2KB 11. canny and gradient-LQM--KPJjD0.mp4 5.25MB 10. Computer Vision-wxQhfSdxjKU.zh-CN.vtt 1KB 03. Color Selection.html 7KB 03. color selection-bNOWJ9wdmhk.zh-CN.vtt 1KB 06. region select-ngN9Cr-QfiI.zh-CN.vtt 432B 06. region select-ngN9Cr-QfiI.en.vtt 511B 14. Hough Transform.html 15KB 04. Color Selection Code Example.html 10KB 16. Hough Transform.html 11KB 06. region select-ngN9Cr-QfiI.mp4 548KB 06. Region Masking.html 9KB 07. Color and Region Combined.html 9KB img test.jpg 93KB image30.png 154KB grayscale.jpg 98KB hough-test.jpg 206KB 23-q-hough-second-quiz-copy.png 99KB image34.png 13KB 25-q-hough-fourth-quiz-updated2.png 54KB edges-exitramp.jpg 130KB image14.png 22KB 23-q-hough-second-quiz.png 82KB 22-q-hough-intro-quiz.png 82KB exit-ramp.jpg 94KB 17-q-canny-intro-quiz-2.png 542KB 10. Computer Vision-wxQhfSdxjKU.en.vtt 1KB 14. Hough Quiz 5-upKjISd3aBk.zh-CN.vtt 322B 14. sine Hough-XQf7FOhwOVk.en.vtt 2KB 03. color selection-bNOWJ9wdmhk.en.vtt 1KB 12. Canny to Detect Lane Lines.html 12KB 11. Canny Edge Detection-Av2GsgQWX8I.zh-CN.vtt 2KB 02. lane line intro-aIkAcXVxf2w.en.vtt 2KB 14. Hough Quiz 5-upKjISd3aBk.mp4 247KB index.html 5KB 03. color selection-bNOWJ9wdmhk.mp4 2.84MB 11. canny and gradient-LQM--KPJjD0.en.vtt 2KB 14. Hough Intro-JFwj5UtKmPY.mp4 3.73MB 01. Power of Cameras.html 6KB 14. sine Hough-XQf7FOhwOVk.mp4 3.81MB 14. Hough Intro-JFwj5UtKmPY.zh-CN.vtt 1KB 10. Computer Vision-wxQhfSdxjKU.mp4 7.3MB 02. lane line intro-aIkAcXVxf2w.mp4 8.1MB 02. lane line intro-aIkAcXVxf2w.zh-CN.vtt 2KB 01. 01 Introduction A01 Power Of Cameras-lCPWJEEzUeo.en.vtt 635B 02. Setting up the Problem.html 7KB 05. Color Selection.html 9KB 10. What is Computer Vision.html 8KB资源评论
