Skip to main content

Stretch the dynamic range of the given 8-bit grayscale image using MATL...

ROI selection without overlap

 I'm trying to select several ROI's from an image using the following code:

 

for i=1:nbrois
   roi3d{i}=roipoly(A);        
end

Which works OK...I however, need to be sure that those ROIs don't overlap with each other. Is there a way of selecting the first ROI, have the program show the polygon on top of the image to select the second ROI and so on? In other words, I want to select the ROIs with all the previous ROIs displayed on the image, is that possible?

 NOTE:-


Matlabsolutions.com provide latest MatLab Homework Help,MatLab Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research.

There is no built-in function of ROIPOLY, that I know of, that will do this. So, you'll need to alter your raw image to outline/overlay the regions you have selected. I've pasted below a simple loop using my outlining function MASKOUT. You might have better success using a more robust function from the File Exchange like IMOVERLAY.
 
You won't be able to run this "as is". You'll need to point it to your raw image.
 
reply = input('Circle regions to [a]dd, [n]ext image? a/n [n]: ', 's');
    if isempty(reply)
        reply = 'n';
    end

      %loop for each ROI created
      while reply == 'a' 

              im2 = imread(char(filenames(1, x)));  %raw image
              brtemp = false(size(im2, 1), size(im2, 2));   %binary mask of ROIs         
              timg = maskout(im2, brtemp, 2); 

          if reply == 'a'

              brtemp = roipoly(timg) | brtemp;  %manual interaction to create ROI, add to BRTEMP
              timg = maskout(im2, brtemp, 2);  %display outline of all masks created

              reply = input('Circle regions to [a]dd, [r]emove, [n]ext? a/r/n [n]: ', 's');
              if isempty(reply)  %default reply is N
                  reply = 'n';
              end

          end
      end

function [imgout] = maskout(imgin, maskin, thickness)

Comments

Popular posts from this blog

https://journals.worldnomads.com/scholarships/story/70330/Worldwide/Dat-shares-his-photos-from-Bhutan https://www.blogger.com/comment.g?blogID=441349916452722960&postID=9118208214656837886&page=2&token=1554200958385 https://todaysinspiration.blogspot.com/2016/08/lp-have-look-at-this-this-is-from.html?showComment=1554201056566#c578424769512920148 https://behaviorpsych.blogspot.com/p/goal-bank.html?showComment=1554201200695 https://billlumaye.blogspot.com/2012/10/tagg-romney-drops-by-bill-show.html?showComment=1550657710334#c7928008051819098612 http://blog.phdays.com/2014/07/review-of-waf-bypass-tasks.html?showComment=1554201301305#c6351671948289526101 http://www.readyshelby.org/blog/gifts-of-preparedness/#comment_form http://www.hanabilkova.svet-stranek.cz/nakup/ http://www.23hq.com/shailendrasingh/photo/21681053 http://blogs.stlawu.edu/jbpcultureandmedia/2013/11/18/blog-entry-10-guns-as-free-speech/comment-page-1443/#comment-198345 https://journals.worldnomads.com

What are some good alternatives to Simulink?

Matlabsolutions provide latest  MatLab Homework Help, MatLab Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. SIMULINK is a visual programing environment specially for time transient simulations and ordinary differential equations. Depending on what you need there are plenty of Free, Libre and Open Source Software (FLOSS) available: Modelica language is the most viable alternative and in my opinion it is also a superior option to MathWorks SIMULINK. There are open source implementations  OpenModelica  and  JModelica . One of the main advantages with Modelica that you can code a multidimensional ordinary differential equation with algebraic discrete non-causal equations. With OpenModelica you may create a non-causal model right in the GUI and with

USING MACHINE LEARNING CLASSIFICATION ALGORITHMS FOR DETECTING SPAM AND NON-SPAM EMAILS

    ABSTRACT We know the increasing volume of unwanted volume of emails as spam. As per statistical analysis 40% of all messages are spam which about 15.4 billion email for every day and that cost web clients about $355 million every year. Spammers to use a few dubious techniques to defeat the filtering strategies like utilizing irregular sender addresses or potentially add irregular characters to the start or the finish of the message subject line. A particular calculation is at that point used to take in the order rules from these email messages. Machine learning has been contemplated and there are loads of calculations can be used in email filtering. To classify these mails as spam and non-spam mails implementation of machine learning algorithm  such as KNN, SVM, Bayesian classification  and ANN  to develop better filtering tool.   Contents ABSTRACT 2 1. INTRODUCTION 4 1.1 Objective : 5 2. Literature Review 5 2.1. Existing Machine learning technique. 6 2.2 Existing