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object-size's Introduction

Measure size of objects in an image using OpenCV

The project provides a script to read an image and based on the dimensions of a reference object find the dimensions of other objects in a scene. The reference object must be the leftmost object in the scene. In sample images given, a box of dimension 2cm x 2cm is taken as a reference object.

For any other reference object provide actual width of the object. (change line 59 in file 'init.py')

Constraints

  1. Shadow effect: use dark braground
  2. Object boundry: use contrasting background

Getting Started

Prerequisites

Python 3 Pip OpenCV Numpy

Installing

For python and pip installation follow this blog

  1. For windows https://www.howtogeek.com/197947/how-to-install-python-on-windows/
  2. For Linux https://docs.python-guide.org/starting/install3/linux/

Other prerequisites:

  • pip install numpy
  • pip install opencv-python

Algorithm

  1. Image pre-processing
  • Read an image and convert it it no grayscale
  • Blur the image using Gaussian Kernel to remove un-necessary edges
  • Edge detection using Canny edge detector
  • Perform morphological closing operation to remove noisy contours
  1. Object Segmentation
  • Find contours
  • Remove small contours by calculating its area (threshold used here is 100)
  • Sort contours from left to right to find the reference objects
  1. Reference object
  • Calculate how many pixels are there per metric (centi meter is used here)
  1. Compute results
  • Draw bounding boxes around each object and calculate its height and width

Results

Result

Authors

  • Shashank Sharma

Acknowledgments

object-size's People

Contributors

snsharma1311 avatar

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