Accession Number : AD1009203


Title :   Generalized Hough Transform for Object Classification in the Maritime Domain


Descriptive Note : Technical Report


Corporate Author : Naval Postgraduate School Monterey United States


Personal Author(s) : Rerkngamsanga,Pornrerk


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1009203.pdf


Report Date : 01 Dec 2015


Pagination or Media Count : 79


Abstract : A Generalized Hough Transform (GHT)-based classification scheme for an object-of-interest in maritime-domain images is proposed in this thesis. First, the object edge points are extracted and used to generate a representation of the object as a Hough coordinate table by using the GHT algorithm. The table is then reformatted to a contour map called a Hough features map. The coordinates of dominant peaks or Hough features on the map are extracted and fed into a feed-forward, back-propagation neural network for classification. In this research, the scheme is tested using perfect shapes of triangles, squares, circles, andstars and maritime-domain images of ships, aircraft, and clouds, and the classification results obtained are reported.


Descriptors :   theses , classification , INTEGRAL TRANSFORMS , algorithms , ARTIFICIAL NEURAL NETWORKS , shape


Distribution Statement : APPROVED FOR PUBLIC RELEASE