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Image Panaroma Stitching using OpenCV

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by sneha@openweaver.com dot icon Updated: Mar 29, 2023

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Solution Kit Solution Kit  

OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision. Companies and individuals use it to develop image and video processing applications. OpenCV was created by Intel and is now maintained by Willow Garage. It is free for both commercial and non-commercial use. 



Panorama stitching combines multiple photographs with overlapping fields of view to create a single wide-angle image. 



Using OpenCV, panorama stitching involves loading all the individual images, finding common points between each image, and combining them into a single image. The first step is to detect the features of the images, such as corners, edges, and other key points. The OpenCV library provides several methods to do this, such as 

  • Scale-Invariant Feature Transform (SIFT) 
  • Speeded-Up Robust Features (SURF) 



Once detected, the features are matched across the images to form a homograph matrix. This matrix is then used to transform the images and stitch them together to form a panoramic image. A blending process is often used to blend the overlapping regions to reduce the artifacts. 



Here's an example to learn and show how Image Panorama Stitching is done using OpenCV 



Fig 1: Preview of the sample images used for stitchiing.



Fig 2: Preview of the output that you will get on running this code from your IDE

Code


In this solution, we use the Create Stitcher Function of the Opencv library

How to stitch these two images with some Python code using OpenCV?

PythondotLines of Code : 12dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import cv2

img1 = cv2.imread("image1.jpg")
img2 = cv2.imread("image2.jpg")
tupleImages=(img1,img2)
stitcher = cv2.createStitcher(True)
result = stitcher.stitch(tupleImages)
cv2.imshow('result',result[1]) 
k = cv2.waitKey(0) & 0xff # press ESC to exit
if k == 27:
    cv2.destroyAllWindows()

Instructions


  1. Install Jupyter Notebook on your computer.
  2. Open terminal and install the required libraries with following commands.
  3. Install OpenCV - pip install opencv-python
  4. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  5. The user need to have 2 images having atleast 25% overlap.
  6. Modify the name, location of the images to be stitched in the code.
  7. Run the file to stitch the images.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for " Image Panaroma Stitching using OpenCV" in kandi. You can try any such use case!

Dependent Libraries

opencv-pythonby opencv

Shell doticonstar image 3491 doticonVersion:72doticon
License: Permissive (MIT)

Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

Support
    Quality
      Security
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          Reuse

            opencv-pythonby opencv

            Shell doticon star image 3491 doticonVersion:72doticon License: Permissive (MIT)

            Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
            Support
              Quality
                Security
                  License
                    Reuse

                      If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.


                      You can search for any dependent library on kandi like OpenCV.

                      Environment Tested


                      I tested this solution in the following versions. Be mindful of changes when working with other versions.

                      1. The solution is created in Python3.9.6
                      2. The solution is tested on OpenCV-Python 3.4.18.65 version.


                      Using this solution, we are able to stitch images using the OpenCV library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us to stitch images in Python.

                      Support


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                      2. For further learning resources, visit the Open Weaver Community learning page.


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