Image correspondence techniques using serial neighborhood proces

Image analysis – Histogram processing – For setting a threshold

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358105, 382 44, 382 49, G06K 936

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active

045906076

ABSTRACT:
A serial neighborhood processing system, preferably employing a pipeline of individually programmable stages, is used to detect image correspondence between multiple frames of image data. Similar features in each frame are extracted utilizing a series of dilation and erosion sequences. In particular, landmarks in each frame are condensed to single image points having exactly one corresponding point in the other frame surrounding it within a given mathematical distance. The second frame of pixel data is registered with the first frame as a function of the spatial relationship between these pairs of matched points in the two reduced frames. A comparison is made between the first frame and the registered second frame to detect differences therebetween. Motion detection, stereo projection, registration of multidate Landsat imagery and matching images of electrophoretic gels are examples of particular uses for the techniques disclosed.

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Lougheed et al., "The Cytocomputer: A Practical Pipelined Image Processor", Nov. 1979, pp. 1-25.
Barrows et al., "Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching", Prod. of the 5th Int. Conf. of Artificial Intellegence, 1977, pp. 659-663.

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