Machine learning procedures for generating image domain feature

Details Machine learning procedures for generating image domain feature Machine learning procedures for generating image domain feature

1986-08-22

1989-04-11

Boudreau, Leo H.

Image analysis

Histogram processing

For setting a threshold

382 41, 382 48, 382 55, G06K 954

Patent

active

048213330

ABSTRACT:
A method for generating a program to be used in two-class or multi-class image domain feature discrimination problems. A feature discrimination problem is solved by a serial neighborhood processor which is programmed to perform a series of mathematical morphological transformations as specified by structuring elements and morphological operations. The morphological operations are expressed in a program form typically developed by an experienced human, while the sequence of structuring elements used with the program form are generated by an algorithm which iteratively tests and scores the performance of various sequences of transformations, each sequence of transformations being representable by a binary sequence which is allowed to evolve by the processes of mutation and cross-linking. Acceptable forms of binary digit sequences are also disclosed.

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