![]() Please note that the automatic background extraction may be impossible in some cases (due to the intensity distribution of the pixels) - for details, see the algorithm of the automatic background extraction. The parameter for the significance of the pixel can be set by the threshold control. Pixels which do not contribute a significant signal are masked. This tool enables the user to test all pixels for a significant signal contribution. The following table lists and explains the tools of the image mask editor: You can fine-tune the assigned processing power in the preferences of the program (see the option Allowed CPU Usage in Multiprocessor Systems). The increase in speed corresponds roughly to the number of CPU cores in your system (a four core system will be faster by a factor of 4). ![]() The calculation of the background image is prepared to be executed in parallel on multi-core processors. The background image has no influence on the mask, it is solely intended to provide better orientation for setting the masked pixels. The mask generator uses a background image which may be created either by visualizing the total intensity of the image, the variance in the image, the maximum intensities, or the negative values. After selecting a particular mask the tools needed to edit will be enabled. In order to edit a mask select an already existing mask or create a new one. The image mask can be generated algorithmically and edited manually by using the mask editor (c.f. Epina ImageLab allows the user to create up to 32 image masks which can be used, for example, to exclude a particular class of pixels from further calculations. ![]()
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