image-processing algos added | Updated ReadMe | added CONTRIBUTING.md | .gitignore

Author: hritik5102

.gitignore

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+.history
+.dist

CONTRIBUTING.md

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+# Contributing guidelines
+
+## Before contributing
+
+Welcome to [TheAlgorithms/MATLAB-Octave](https://github.com/TheAlgorithms/MATLAB-Octave.git)! Before sending your pull requests, make sure that you **read the whole guidelines**. If you have any doubt on the contributing guide, please feel free to [state it clearly in an issue](https://github.com/TheAlgorithms/MATLAB-Octave/issues/new) or ask the community in [Gitter](https://gitter.im/TheAlgorithms).
+
+### Contributor
+
+We are very happy that you consider implementing algorithms and data structure for others! This repository is referenced and used by learners from all over the globe. Being one of our contributors, you agree and confirm that:
+
+- You did your work - no plagiarism allowed
+  - Any plagiarized work will not be merged.
+- Your work will be distributed under [MIT License](License) once your pull request is merged
+- You submitted work fulfils or mostly fulfils our styles and standards
+
+**New implementation** is welcome! For example, new solutions for a problem, different representations for a graph data structure or algorithm designs with different complexity.
+
+**Improving comments** and **writing proper tests** are also highly welcome.
+
+When contributing to this repository, please first discuss the change you wish to make via issue,
+email, or any other method with the owners of this repository before making a change. 
+
+Please note we have a code of conduct, please follow it in all your interactions with the project.
+
+## Pull Request Process
+
+1. Ensure any install or build dependencies are removed before the end of the layer when doing a 
+   build.
+2. Update the README.md with details of changes to the interface, this includes new environment 
+   variables, exposed ports, useful file locations and container parameters.
+3. Increase the version numbers in any examples files and the README.md to the new version that this
+   Pull Request would represent. The versioning scheme we use is [SemVer](http://semver.org/).
+4. You may merge the Pull Request in once you have the sign-off of two other developers, or if you 
+   do not have permission to do that, you may request the second reviewer to merge it for you.
+
+## Code of Conduct
+
+### Our Pledge
+
+In the interest of fostering an open and welcoming environment, we as
+contributors and maintainers pledge to making participation in our project and
+our community a harassment-free experience for everyone, regardless of age, body
+size, disability, ethnicity, gender identity and expression, level of experience,
+nationality, personal appearance, race, religion, or sexual identity and
+orientation.
+
+### Our Standards
+
+Examples of behavior that contributes to creating a positive environment
+include:
+
+* Using welcoming and inclusive language
+* Being respectful of differing viewpoints and experiences
+* Gracefully accepting constructive criticism
+* Focusing on what is best for the community
+* Showing empathy towards other community members
+
+Examples of unacceptable behavior by participants include:
+
+* The use of sexualized language or imagery and unwelcome sexual attention or
+advances
+* Trolling, insulting/derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or electronic
+  address, without explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+### Our Responsibilities
+
+Project maintainers are responsible for clarifying the standards of acceptable
+behavior and are expected to take appropriate and fair corrective action in
+response to any instances of unacceptable behavior.
+
+Project maintainers have the right and responsibility to remove, edit, or
+reject comments, commits, code, wiki edits, issues, and other contributions
+that are not aligned to this Code of Conduct, or to ban temporarily or
+permanently any contributor for other behaviors that they deem inappropriate,
+threatening, offensive, or harmful.
+
+### Scope
+
+This Code of Conduct applies both within project spaces and in public spaces
+when an individual is representing the project or its community. Examples of
+representing a project or community include using an official project e-mail
+address, posting via an official social media account, or acting as an appointed
+representative at an online or offline event. Representation of a project may be
+further defined and clarified by project maintainers.
+
+### Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported by contacting the project team at [INSERT EMAIL ADDRESS]. All
+complaints will be reviewed and investigated and will result in a response that
+is deemed necessary and appropriate to the circumstances. The project team is
+obligated to maintain confidentiality with regard to the reporter of an incident.
+Further details of specific enforcement policies may be posted separately.
+
+Project maintainers who do not follow or enforce the Code of Conduct in good
+faith may face temporary or permanent repercussions as determined by other
+members of the project's leadership.

README.md

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-# MATLAB / Octave
+# MATLAB / Octave  ![](https://img.shields.io/github/forks/TheAlgorithms/Jupyter?style=social) ![](https://img.shields.io/github/stars/TheAlgorithms/Jupyter?style=social) ![](https://img.shields.io/github/watchers/TheAlgorithms/Jupyter?style=social) <br>
+
+![](https://img.shields.io/github/repo-size/TheAlgorithms/Jupyter) ![](https://img.shields.io/github/downloads/TheAlgorithms/Jupyter/total)<br>
+![](https://img.shields.io/github/issues/TheAlgorithms/Jupyter?color=green) ![](https://img.shields.io/github/issues-pr/TheAlgorithms/Jupyter?color=green) ![](https://img.shields.io/github/last-commit/TheAlgorithms/Jupyter) ![](https://img.shields.io/github/contributors/TheAlgorithms/Jupyter)
 
 These repository is a collection of useful algorithms and data structures built in MATLAB/Octave. In addition you will find solutions from project euler problem sets. The code in this repository is cross-portabel for MATLAB and for Octave.
 
 ### What is Octave?
 
 [Octave](https://www.gnu.org/software/octave/) is a free high-level interpreter language that is equivalent to the textuelle programming language MATLAB.
 
+## Clone git repository
+
+```sh
+    $ git clone "https://github.com/TheAlgorithms/MATLAB-Octave.git"
+```
+
+You can run and edit the algorithms or contribute to them using [Gitpod.io](https://www.gitpod.io/), a free online development environment, with a single click.
+
+[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](http://gitpod.io/#https://github.com/TheAlgorithms/MATLAB-Octave)
+
+
+
 ### Overview about this repository
 
 ---
@@ -39,10 +54,17 @@ These repository is a collection of useful algorithms and data structures built
   * nearest neighbor
      * brightness (recognizes the brightness of a color)
   * k-means clustering
-  
+
+* image-processing
+  * Blob-detection
+
 
 ---
 
 ### Contributing
 
 You can like contribute to this repository. You simply orient on the directory structure.
+
+## License
+
+Licensed under the [MIT License](LICENSE) 

image-processing/Blob-detection-using-Matlab/BlobUsingVideo.m

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+%% read the frame
+
+cap = vision.VideoFileReader('multiple_ball.avi');
+cap.VideoOutputDataType = 'double';
+
+%% reduce noise by using opening
+
+noise = strel('disk',3);
+
+%% blob analysis
+
+% to perform a blob analysis on the video frame we need to use step
+% function :- parameter => (blob analysis system object , input image i.e open)
+% function output 3 :- area , centroid , bounding box
+
+blob = vision.BlobAnalysis('MinimumBlobArea',200,...
+    'MaximumBlobArea',5000);
+
+% Create VideoPlayer
+vidPlayer = vision.DeployableVideoPlayer;
+
+%% while True
+while ~isDone(cap)
+    
+    % Read Frame
+    frame = step(cap);
+  
+    % Convert RGB image to HSV
+    hsv = rgb2hsv(frame);
+
+    % Define thresholds for channel 1 based on histogram settings
+    channel1Min = 0.398;
+    channel1Max = 0.498;
+    
+    % Define thresholds for channel 2 based on histogram settings
+    channel2Min = 0.355;
+    channel2Max = 1.000;
+    
+    % Define thresholds for channel 3 based on histogram settings
+    channel3Min = 0.000;
+    channel3Max = 1.000;
+
+    % Create mask based on chosen histogram thresholds
+    Ibw = (hsv(:,:,1) >= channel1Min ) & (hsv(:,:,1) <= channel1Max) & ...
+        (hsv(:,:,2) >= channel2Min ) & (hsv(:,:,2) <= channel2Max) & ...
+        (hsv(:,:,3) >= channel3Min ) & (hsv(:,:,3) <= channel3Max);
+    
+    % Use morphological operations to remove disturbances
+    opening = imopen(Ibw,noise);
+    
+    % Extract the blobs from the frame 
+    [object_area,object_centroid,bounding_box] = step(blob, opening);
+    
+    % Draw a box around the detected objects
+    Ishape = insertShape(frame,'Rectangle',bounding_box);
+    
+    % Insert a string of number of objects detected in the video frame.
+    
+    numObj = length(object_area);
+    
+    %Itext = step(hTextIns,Ishape,int32(numObj));
+
+    %Play in the video player
+    %step(vidPlayer, Itext);
+    step(vidPlayer, Ishape);
+    
+
+end
+
+%% Clean
+
+release(cap)
+release(blob)
+%release(hTextIns)
+release(vidPlayer)

image-processing/Blob-detection-using-Matlab/Media2.gif

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+## Blob detection and analysis using Matlab
+A Blob is a group of connected pixels in an image that share some common property ( E.g grayscale value ).
+
+### Steps includes for blob analysis on image 
+
+   > ### Load sample frames
+   
+   ```matlab
+      
+      load sampleFrames.mat
+      subplot(1,3,1)
+      imshow(vidFrame1)
+   ```
+   > ### Threshold image
+   ```matlab
+   I = rgb2hsv(vidFrame1);
+
+   % Define thresholds for channel 1 based on histogram settings
+   channel1Min = 0.333;
+   channel1Max = 0.561;
+
+   % Define thresholds for channel 2 based on histogram settings
+   channel2Min = 0.327;
+   channel2Max = 1.000;
+
+   % Define thresholds for channel 3 based on histogram settings
+   channel3Min = 0.186;
+   channel3Max = 1.000;
+
+   % Create mask based on chosen histogram thresholds
+   sliderBW = (I(:,:,1) >= channel1Min ) & (I(:,:,1) <= channel1Max) & ...
+       (I(:,:,2) >= channel2Min ) & (I(:,:,2) <= channel2Max) & ...
+       (I(:,:,3) >= channel3Min ) & (I(:,:,3) <= channel3Max);
+   BW = sliderBW;
+
+   subplot(1,3,2)
+   imshow(BW)
+
+   
+   ```
+   > ### Remove disturbances
+   ```matlab
+      
+      noise = strel('disk' , 3);
+
+      open = imopen(BW, noise);
+      subplot(1,3,3);
+      imshow(open);
+
+   ```
+   > ### Blob Analysis
+   
+   ```matlab
+   blob = vision.BlobAnalysis('MinimumBlobArea',200,...    
+    'MaximumBlobArea',5000);
+    % to perform a blob analysis on the video frame we need to use step
+    % function :- parameter => (blob analysis system object , input image i.e open)
+    % function output 3 :- area , centroid , bounding box
+
+    [objectArea , objCentroid , bboxout] = step(blob , open);
+
+
+   ```
+   > ### Annotate image
+   ```matlab
+     
+     % now we get a bounding box cordinates of detected ball let apply contour
+     % over the detected ball using rectangle 
+
+     rectangle = insertShape(vidFrame1 , 'rectangle',bboxout , 'Linewidth' , 4 , 'Color',...
+         [155 164 155]);
+
+     figure 
+     subplot(1,2,1)
+     imshow(rectangle)
+
+
+   ```
+   > ### Clean up
+   
+   ```matlab
+      release(blob)
+
+   ```
+   
+### Result 
+
+![](Media2.gif "Blob Detection using Matlab")
+

image-processing/Blob-detection-using-Matlab/README.md

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+% Copyright 2014-2015 The MathWorks, Inc.
+%% Load sample frames
+load sampleFrames.mat
+subplot(1,3,1)
+imshow(vidFrame1)
+
+%% Threshold image
+% Convert RGB image to chosen color space
+I = rgb2hsv(vidFrame1);
+
+% Define thresholds for channel 1 based on histogram settings
+channel1Min = 0.379;
+channel1Max = 0.496;
+
+% Define thresholds for channel 2 based on histogram settings
+channel2Min = 0.436;
+channel2Max = 1.000;
+
+% Define thresholds for channel 3 based on histogram settings
+channel3Min = 0.000;
+channel3Max = 1.000;
+
+% Create mask based on chosen histogram thresholds
+BW = (I(:,:,1) >= channel1Min ) & (I(:,:,1) <= channel1Max) & ...
+    (I(:,:,2) >= channel2Min ) & (I(:,:,2) <= channel2Max) & ...
+    (I(:,:,3) >= channel3Min ) & (I(:,:,3) <= channel3Max);
+
+subplot(1,3,2)
+imshow(BW)
+
+%% Remove disturbances
+diskElem = strel('disk',3);
+Ibwopen = imopen(BW,diskElem);
+subplot(1,3,3)
+imshow(Ibwopen)
+
+%% Blob Analysis
+hBlobAnalysis = vision.BlobAnalysis('MinimumBlobArea',200,...
+    'MaximumBlobArea',5000);
+[objArea,objCentroid,bboxOut] = step(hBlobAnalysis,Ibwopen);
+
+%% Annotate image
+Ishape = insertShape(vidFrame1,'rectangle',bboxOut,'Linewidth',4);
+figure
+subplot(1,2,1)
+imshow(Ishape)
+
+numObj = numel(objArea);
+hTextIns = vision.TextInserter('%d','Location',[20 20],'Color',...
+    [255 255 0],'FontSize',30);
+Itext = step(hTextIns,Ishape,int32(numObj));
+subplot(1,2,2)
+imshow(Itext)
+
+%% Clean up
+release(hBlobAnalysis)
+release(hTextIns)