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Texture-based medical image segmentation

version 1.0.0.0 (410 KB) by Kei Otsuka
Demo files to take the first step to use texture-based approach for medical imaging

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Updated 08 Mar 2018

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This demo is used in MathWorks Webinar and shows how to use texture-based approach for medical imaging. GLCM(gray-level co-occurrence matrix) is one way to characterize the texture of an image by calculating how often pairs of pixel with specific values, and is good algorithm to understand what the texture is for image segmentation.
MathWorksのビデオ、"医用画像処理:テクスチャ解析の基礎"にて使用したデモファイルです。GLCM(同時生起行列)は特定の輝度の並びがどの程度の頻度で存在しているかを表した行列で、テクスチャ情報とは何かを理解するために最適なアルゴリズムの一つです。本デモではGLCMを利用して、医用画像のセグメンテーションを行う例を2つ後紹介します。
[Keyward]
画像処理・セグメンテーション・医用画像・GLCM・同時生起行列・デモ・IPCVデモ

Comments and Ratings (5)

jy du

Kei Otsuka

Hi,
Or, replacing it with following codes may work for you.
mask3 = repmat(bw2, [1 1 3]);
I2 = img{1,1};
I2(~mask3) = 255;

Thank you for your quick response but I am using the 2014a Matlab that I can't get the function
I will try to get it from the web site

Kei Otsuka

imoverlay is the function that can be used to burn binary mask into 2D image. This function is provided by image processing toolbox since R2016a.

Dear sir, thank you for the code, I wish to ask you one question? what is the code for the (imoverlay) that you did us for that specific code of you ? Wish to hear from you soon

Updates

1.0.0.0

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MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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