<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Image on felladog</title><link>https://utsavdarlami.github.io/blogs/tags/image/</link><description>Recent content in Image on felladog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Mon, 08 Nov 2021 12:16:25 +0545</lastBuildDate><atom:link href="https://utsavdarlami.github.io/blogs/tags/image/index.xml" rel="self" type="application/rss+xml"/><item><title>image segmentation</title><link>https://utsavdarlami.github.io/blogs/notes/20210224161655-image_segmentation/</link><pubDate>Wed, 24 Feb 2021 16:16:00 +0545</pubDate><guid>https://utsavdarlami.github.io/blogs/notes/20210224161655-image_segmentation/</guid><description>references: https://www.youtube.com/watch?v=AZr64OxshLo https://www.youtube.com/watch?v=0FmNxqLFeYo questions : Types of image segmentation Semantic segmentation Instance segmentation Apporaches for segmentation Using Classical Approach Histogram Based Segmentation thresholding Random Walker Segmentation Watershed Segmentation Graph based segmentation &amp;lt;/home/felladog/Downloads/CV_Nptel/W2/DL4CV_Week02_Part05.pdf&amp;gt; https://youtu.be/0HbRnFTOOms?t=680 Using Unsupervised Approach Gaussian Mixture Model Kmeans Clustering Using Deep Learning UNET Image Segmentation Loss/Evaluation Method Problem with other common metrics We need metrics that target pixels in foreground Intersection over union (Jaccard index) sklearn jaccard module</description></item></channel></rss>