<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Canny on felladog</title><link>https://utsavdarlami.github.io/blogs/tags/canny/</link><description>Recent content in Canny on felladog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Tue, 13 Jul 2021 20:52:40 +0545</lastBuildDate><atom:link href="https://utsavdarlami.github.io/blogs/tags/canny/index.xml" rel="self" type="application/rss+xml"/><item><title>edge filters</title><link>https://utsavdarlami.github.io/blogs/notes/2021-05-31--03-54-38z--edge_filters/</link><pubDate>Mon, 31 May 2021 09:39:00 +0545</pubDate><guid>https://utsavdarlami.github.io/blogs/notes/2021-05-31--03-54-38z--edge_filters/</guid><description>References :
Done Reading Reading https://nptel.ac.in/courses/106/106/106106224/ [IIT Madras Week 2 part 1] Cornell CV lecture on Edge https://szeliski.org/Book/ [Book Chapter 3] https://www.wikiwand.com/en/Sobel%5Foperator Joseph Redmon Lectures https://evergreenllc2020.medium.com/fundamentals-of-image-gradients-and-edge-detection-b093662ade1b To read: Questions :
Criteria for a good edge detector Good detection find all real edges, ignoring noise or other artifacts Good Localization detect edges as close as possible to true edges Single Response return one point only for each true edge point from skimage.</description></item></channel></rss>