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Image Segmentation

Figure 4.1: Time averaged FOV of the Ca II K3 dataset. Each NBP which existed throughout the dataset is numbered

Seven NBPs were clearly identified (Figure 4.1) which exist throughout the entire dataset and sub-fields of 30" x 30" centred on each NBP were extracted. This created seven 3-dimensional data cubes (two spatial and one temporal dimension) which were then analysed using custom-written programs in SolarSoftWare IDL (SSWIDL; Freeland & Handy 1998).

For each NBP subset, contours were drawn on each image in the sequence at a chosen intensity threshold value. This contouring ensures that each NBP is followed carefully over time (after Cauzzi et al. 2000). It also provides a means of separating the NBP brightenings from the internetwork contribution. Integrating over entire pixel subfields will include signal from both solar (internetwork) and non-solar (sky fluctuations) oscillatory components. Here we add a further improvement to the contour method of Cauzzi et al. (2000), that allows us to better isolate each individual NBP. A routine was used to ensure only pixels within a closed contour around the NBP were used. This ensures that erroneous pixels - due to sudden fluctuations in the background, supergranular lane flow or other NBPs - are ignored.


next up previous
Next: Contrast Lightcurves Up: Data Analysis Previous: Data Analysis
James McAteer 2004-01-14