Quadrature shape detection using the flow integration transform

Image analysis – Pattern recognition – Feature extraction

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G06K 948

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055509339

ABSTRACT:
A transform, the Flow Integration Transform (FIT), is applied for determining the presence of a preconceived shape in a gray scale image. The FIT represents a form of Quadrature Shape Detection. The expected contour serves as a filter for detecting potential targets as periodic signals. The FIT performs a line integral of two vectors: (1) the flow, a vector equal to the gradient of the image's intensity but rotated by 90 degrees, and (2) the local tangent to the path of integration. The path of integration follows the expected contour. The integration is performed starting at each point in the image, producing a two-dimensional transform whose pixel value corresponds to the relative presence of the contour at that location in the input image. The transform exhibits the feature that information widely dispersed in the image becomes concentrated in a local area of the transform.

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