Patent ID: 9097739
Filing Date: 2015-08-04
Classification: B82Y,C01B,G01Q,G06K,G06T

Abstract:
1. A method for determining lengths of carbon nanotubes, to be executed on a computing device, comprising: obtaining image data for the carbon nanotubes for which length data is desired; processing the image data with a low-pass filter to filter height data said processing resulting in a first set of data points corresponding to the carbon nanotubes; looking for a second set of data points related to the first set of data points; processing the first and second sets of data points with a statistical connector module, an end finding module, a cross finding module, and end pairing module programmed onto the computing device said processing resulting in a processed data set related to the carbon nanotubes; determining the lengths of the carbon nanotubes using the first and second data sets and the processed data set related to the carbon nanotubes; outputting the lengths of the carbon nanotubes in a format requested by a user; and wherein said statistical connector module executes a method for determining, amongst a set of identified lines with known endpoints, which endpoints are connected in an image for analysis by: 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 another point which deviates most from all of the surrounding points 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.