System for lightweight image processing
An embodiment in accordance with the present invention provides a system and method for image analysis and processing. The present invention provides a software package for processing AFM data. More particularly it can be used for characterizing carbon nanotubes found within AFM images, though it does offer editing features that are general in nature. Its features are split amongst five menus, one button, and four data panels. The software package can be used to determine physical characteristics related to the imaged subject, such as, for instance length data for imaged carbon nanotubes.
1. A method for determining, amongst a set of identified lines with known endpoints, which endpoints are connected in an image for analysis programmed onto a computing device, comprising:
starting at a first one of the known endpoints of an identified line in the set of identified lines and taking a jump to a point which deviates most from all surrounding points in the image for analysis;
repeating the jump to find a path that has a measurable deviation from local background noise in the image for analysis until the path reaches a second one of the known endpoints of an identified line in the set of identified lines;
determining if the measurable deviation of the path is within a predetermined statistically significant range;
drawing in a feature represented by the path in the image to be analyzed if the measurable deviation of the path is within the predetermined statistically significant range; and
outputting to a user data regarding the feature and the path.
2. The method of claim 1 , further comprising the predetermined statistically significant range comprising two standard deviations.
3. The method of claim 1 , wherein the identified lines correspond to carbon nanotubes for which length data is desired.
4. The method of claim 3 wherein the output comprises a list of a length for each carbon nanotube in the image.