System and method for finding and classifying patterns in an image with a vision system

A system for pattern-finding in an image comprising:

• a neural network trained to locate one or more candidate shapes in an image and arranged to identify probability of the presence of the one or more shapes in the image during runtime operation and thereby generates (a) a weighted mask having features of the one or more candidate shapes that exceed a probability threshold or (b) a reconstructed image in which the features of a model of the one or more candidate shapes are substituted in the image where the neural network identifies presence of the features of the one or more candidate shapes that exceed the probability threshold.

A system for pattern-finding in an image comprising:

• a neural network trained to locate one or more candidate shapes in an image and arranged to identify probability of the presence of the one or more shapes in the image during runtime operation and thereby generates (a) a weighted mask having features of the one or more candidate shapes that exceed a probability threshold and (b) a reconstructed image in which the features of a model of the one or more candidate shapes are substituted in the image where the neural network identifies presence of the features of the one or more candidate shapes that exceed the probability threshold.

A method for pattern-finding in an image comprising:

• locating, with a neural network, one or more candidate shapes in an image and identifying probability of the presence of the one or more shapes in the image during runtime operation;
• and
• generating (a) a weighted mask having features of the one or more candidate shapes that exceed a probability threshold or (b) a reconstructed image, in which the features of a model of the one or more candidate shapes are substituted in the image where the neural network identifies presence of the features of the one or more candidate shapes that exceed the probability threshold.

A system for pattern-finding in an image comprising:

• a neural network trained to locate one or more candidate shapes in an image and arranged to identify probability of the presence of the one or more shapes in the image during runtime operation and thereby generates a weighted mask having features of the one or more candidate shapes that exceed a probability threshold.

A system for pattern-finding in an image comprising:

• a neural network trained to locate one or more candidate shapes in an image and arranged to identify probability of the presence of the one or more shapes in the image during runtime operation and thereby a reconstructed image in which the features of a model of the one or more candidate shapes are substituted in the image where the neural network identifies presence of the features of the one or more candidate shapes that exceed the probability threshold.