초록 ▼

The invention is an optical-digital method and processor which uses micro-optical lenslet arrays and fixed masks to implement an angular correlation algorithm and the Hough transform for extracting amplitude and geometric features from objects embedded in video imagery. The optical-digital processor

The invention is an optical-digital method and processor which uses micro-optical lenslet arrays and fixed masks to implement an angular correlation algorithm and the Hough transform for extracting amplitude and geometric features from objects embedded in video imagery. The optical-digital processor can be interfaced to a variety of sensors and can be used to classify objects when used in conjunction with a neural network.

대표청구항 ▼

[ We claim:] [2.] An optical-digital signal processor for extracting a feature from an object in a sensor input image, the signal processor comprising:an optical processor for extracting the boundary of the object, wherein the optical processor comprises:a multi-lenslet array for replicating the sen

[ We claim:] [2.] An optical-digital signal processor for extracting a feature from an object in a sensor input image, the signal processor comprising:an optical processor for extracting the boundary of the object, wherein the optical processor comprises:a multi-lenslet array for replicating the sensor input image;a fixed mask containing a series of rotated slits for passing the replicated sensor input images therethrough; anda detector array for receiving the replicated sensor input images and for integrating the superposition of each replicated sensor input image and the corresponding fixed mask slit; anda digital processor for calculating a feature of the object using the extracted boundary of the object.