<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Thresholding on felladog</title><link>https://utsavdarlami.github.io/blogs/tags/thresholding/</link><description>Recent content in Thresholding on felladog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Tue, 29 Aug 2023 21:37:52 +0545</lastBuildDate><atom:link href="https://utsavdarlami.github.io/blogs/tags/thresholding/index.xml" rel="self" type="application/rss+xml"/><item><title>image binarization and pixel count</title><link>https://utsavdarlami.github.io/blogs/posts/20230829193605-image_binarization_and_pixel_count/</link><pubDate>Tue, 29 Aug 2023 19:36:00 +0545</pubDate><guid>https://utsavdarlami.github.io/blogs/posts/20230829193605-image_binarization_and_pixel_count/</guid><description>References : https://haesleinhuepf.github.io/BioImageAnalysisNotebooks/intro.html Questions : what is thresholding and binarization how can we calculate the relative area of certain object in the image. One of the critical aspects of image analysis involves quantifying pixel data, a process that&amp;rsquo;s integral to various scientific and medical applications. In this blog, we&amp;rsquo;ll try to explore the process of converting microscopic images into binary representations for pixel counting.
Steps involved Conversion to Gray Images First, raw microscopic images are converted to grayscale images.</description></item></channel></rss>