Comparing hundreds of JPEG images taken from multiple angles
<p>I am comparing X-ray images to find a specific difference between these images. All images are in jpeg format. Sometimes there are six, or eight different camera angles from which these images are taken. From each angle there are ~ 100 images. I am trying to compare a couple of hundred images to identify a specific difference between these images. </p>

<p>I am using Python and I am relatively new to it. Can Sci-kit image segmentation be used for the following problems? </p>

<ol>
<li>Compensate for the image exposure variations in all images</li>
<li>Compensate for image size variations in all images</li>
</ol>

<p>I don't know Sci-kit, but I'm sure <a href="http://docs.opencv.org/2.4/index.html" rel="nofollow">OpenCV</a> can do the job!</p>

<ul>
<li><a href="https://en.wikipedia.org/wiki/OpenCV" rel="nofollow">https://en.wikipedia.org/wiki/OpenCV</a></li>
<li><a href="http://docs.opencv.org/2.4/modules/stitching/doc/exposure_compensation.html" rel="nofollow">http://docs.opencv.org/2.4/modules/stitching/doc/exposure_compensation.html</a></li>
<li><a href="http://docs.opencv.org/2.4/modules/objdetect/doc/cascade_classification.html" rel="nofollow">http://docs.opencv.org/2.4/modules/objdetect/doc/cascade_classification.html</a></li>
</ul>

python jpeg