Solar Cavity

Now that we have eliminated scaling from our rotation images, we can now try to track/follow our region of interest (ROI) throughout all rotations. Below is the first initial attempt, we marked our first ROI so we know the left most point of the rectangle as well as its dimensions (width and height). So we […]

Continue reading about Advanced Object Marker ::: [Tracking defined ROI (Region Of Interest)]

So initially we thought to rotate the image 1 degree and save the resulting image, we then ended up with about 360 image files derived from a single image. If we marked just the initial image (non-rotated) then based off of the placement in that image we could derive the position of interest in all […]

Continue reading about Advanced Object Marker ::: [Rotating Images (Rotation and Scaling)]

Athena on September 18th, 2011

OpenCV has functionality built in for template matching. The template matching implementation is basically matching a subimage against a main image by sliding it across the entire image using one of the matching methods, in my implementations I used the normalized square difference matching method. Below is a summarized excerpt for template matching within Quadrant […]

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Athena on September 10th, 2011

In running through tests against all the haarcascades I create, I noticed that the number of Misses in Quadrant III seemed surprisingly high, even when the cavity was a very distinct one.   Here is an example of the original image that was used to train the cascades. Here is an output file from the […]

Continue reading about Missed Hits in Quadrant III

Athena on August 8th, 2011

Solar Cavities are said (in theory) to be precursors to CMEs (Coronal Mass Ejections). These prominences are therefor clues to the state of the corona prior to emitting a CME, which in turn could be the signature of stored magnetic energy that is then capable of creating and driving the CME.

Continue reading about Solar (Coronal) Cavities