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Image Processing Method for Quantitative Evaluation of the Orientation of Wavey and Crimpy Fibers from an Image

Technology Benefits

Value PropositionThe method:ΓÇóIs reproducibleΓÇóEnables an enhanced accuracy of resultsΓÇóIs the first of its kind, involving the use of a quantitative approach for image processingΓÇóIs automated, fast and highly robust as compared to error prone, manual conventional proceduresΓÇóAllows for an increased signal to noise ratio as compared to conventional approachesΓÇóWould be commercially useful for image fiber related quality control applications such as in Carbon Nanotubes, Photo-Sensitive fibers (such as collagen based tissues), etc.

Detailed Technology Description

None

*Abstract

Currently used image processing methods are qualitative in nature. A quantitative evaluation of image processing has never been commercially attempted and implemented. Moreover, to date, it has been practically challenging to evaluate crimped structure of fibers as opposed to straight ones. This approach discloses a novel image processing method to successfully quantify the orientation of fibrous structures.

*Principal Investigator

Name: Charles DiMarzio

Department:

Name: James Mclean

Department:

Name: Yair Mega

Department:

Name: Mike Robitaille

Department:

Name: Jeffrey Ruberti

Department:

Name: Ramin Zareian

Department:

Country/Region

USA