Image processing tool for automatic feature recognition and quantification
A system for defining structures within an image is described. The system includes reading of an input file, preprocessing the input file while preserving metadata such as scale information and then detecting features of the input file. In one version the detection first uses an edge detector followed by identification of features using a Hough transform. The output of the process is identified elements within the image.
1. A system for detecting features within an image comprising:
a) reading an input image file;
b) preprocessing the input image file preserving scale information;
c) detecting boundaries of features within the input image file generating boundary information data set;
d) converting the boundary information data set using a Hough transform resulting in a Hough space data set;
e) matching local maxima within the Hough space set;
f) outputting features matching the Hough space set; and
g) calculating distance values of possible strands from the Hough space data set and selecting the closest parallel edges as potential lines.
2. The system for detecting features within an image of claim 1 where said features comprise strands.
3. The system for detecting features within an image of claim 2 wherein said boundary information comprises edges of individual strands.
4. The system for detecting features within an image of claim 1 wherein detecting boundaries uses a laplacian of Gaussian algorithm.
5. The system for detecting features within an image of claim 1 wherein detecting boundaries uses a thresholding with hysteresis algorithm.
6. The system for detecting features within an image of claim 1 wherein detecting boundaries comprises detecting edges by thresholding a gradient using statistical principles.
7. The system for detecting features within an image of claim 6 wherein said detecting boundaries algorithm is operated on subparts of the image.
8. The system for detecting features within an image of claim 1 wherein output of each step is presented to an end user.
9. The system for detecting features within an image of claim 8 wherein output of the detecting boundaries step is presented to the end user and the end user is asked to confirm that edges were correctly identified.
10. The system for detecting features within an image of claim 1 wherein said input file depicts wetted fibers.
11. The system for detecting features within an image of claim 1 wherein said input image comprises nanoparticles.
12. The system for detecting features within an image of claim 11 wherein said Hough space data set comprises detection of circular features.