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- W2519199888 abstract "Pattern recognition and localization along with feature extraction are image processing applications of greatinterest in defect inspection and robot vision among others. In comparison to purely digital methods, theattractiveness of optical processors for pattern recognition lies in their highly parallel operation and real-timeprocessing capability. This work presents an optical implementation of the generalized Hough transform (GHT), awell-established technique for the recognition of geometrical features in binary images. Detection of a geometricfeature under the GHT is accomplished by mapping the original image to an accumulator space; the largecomputational requirements for this mapping make the optical implementation an attractive alternative to digital-only methods. Starting from the integral representation of the GHT, it is possible to device an optical setupwhere the transformation is obtained, and the size and orientation parameters can be controlled, allowing fordynamic scale and orientation-variant pattern recognition. A compact system for the above purposes resultsfrom the use of an electrically tunable lens for scale control and a rotating pupil mask for orientation variation,implemented on a high-contrast spatial light modulator (SLM). Real-time (as limited by the frame rate of thedevice used to capture the GHT) can also be achieved, allowing for the processing of video sequences. Besides,by thresholding of the GHT (with the aid of another SLM) and inverse transforming (which is optically achievedin the incoherent system under appropriate focusing setting), the previously detected features of interest can beextracted." @default.
- W2519199888 created "2016-09-23" @default.
- W2519199888 creator A5003210852 @default.
- W2519199888 date "2016-09-14" @default.
- W2519199888 modified "2023-10-05" @default.
- W2519199888 title "Pattern recognition and feature extraction with an optical Hough transform" @default.
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- W2519199888 doi "https://doi.org/10.1117/12.2234652" @default.
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