On Mon, 13 May 2013 23:50:36 +0400 D.Yu.Khanukaeva <[email protected]> wrote:
> More or less Drop size parameter understandable - the higher its > value, the larger lakes on the image. But it is measured in percents. > What are these percents of? It seems that it is maximum value in datafield minus minimum one divided by 5000, it is not actually a percents. > Variations of Number of steps in > Segmentation section also result in the sizes of the lakes. So I've > concluded, that it is the amount of drops put in each chosen grain. > At last, Number of steps in Grain location section gives the most > unexpected results for me, that indicates my absolute > misunderstanding of its meaning. If the initial drops are located at > every point of the image, why do large unmasked regions appear, when > this parameter is high? If this is the length of each drop path, the > result again is very strange: the drops not always concentrate in the > regions which are obvious extremums of the image, so, some grains > remain unmasked... OK, I'm not completely understand current algorithm implemented, but it seems to me that at each step for each point in datafield it is finding local minimum starting from that point and then adding dropsize*(max-min)/5000 to the value in the minimum and marking this pixel as grain. if the next time it is no longer minimum, grain will grow up. WBR, Daniil Bratashov. ------------------------------------------------------------------------------ AlienVault Unified Security Management (USM) platform delivers complete security visibility with the essential security capabilities. Easily and efficiently configure, manage, and operate all of your security controls from a single console and one unified framework. Download a free trial. http://p.sf.net/sfu/alienvault_d2d _______________________________________________ Gwyddion-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/gwyddion-users
