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Outline

DOMINANT COLOR DETECTION FROM IMAGE

Introduction

1.) Finding Dominant Colour: Finding Colour with
Kmeans and
giving appropriate colors to the pixel/data points
of the image.
2.) Analyse different K in K-means : Different Ks can
give totally different results, and usually, there is
one K which is consistent with the data points,
the actual K.
3.) Good Segmentation(Colour Extraction) : Given
an image in generic viewpoint, we wish to
produce the best possible segmentation, by this
we mean that most people would choose this
segmentation if asked to make one, and it would
make a good precursor for object recognition.

How to use it :

  1. Download or clone the repository
  2. Install Required Libraries
    pip install python-opencv
    pip install sklearn
    pip install pandas
    pip install matplotlib
    
    OR 
    
    pip3 install -r requirements.txt
  1. Run all the cells of Dominant color Extraction.ipynb
  2. Output :Analyse the Dominant color in Image

Output:

output

built with love

Check out my Github profile ARYAN GULATI

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