Abstract

The identification and extraction (i.e., segmentation) of geometrical features is crucial in many tasks requiring image analysis. We present a method for the optical segmentation of features of interest from an edge enhanced image. The proposed method is based on the nonlinear filtering (implemented by the use of a spatial light modulator) of the generalized optical Hough transform and is capable of discriminating features by shape and by size. The robustness of the method against noise in the input, low contrast, or overlapping of geometrical features is assessed, and experimental validation of the working principle is presented.

© 2016 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Fully invariant generalized Hough transform by out-of-focus multiview sensing with pupil array

Ariel Fernández, Juan M. Llaguno, Gastón García González, Facundo Lezama, and Julia R. Alonso
Appl. Opt. 58(28) 7766-7773 (2019)

Real-time pattern recognition using an optical generalized Hough transform

Ariel Fernández, Jorge L. Flores, Julia R. Alonso, and José A. Ferrari
Appl. Opt. 54(36) 10586-10591 (2015)

Coherent optical production of the Hough transform

George Eichmann and B. Z. Dong
Appl. Opt. 22(6) 830-834 (1983)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (8)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (19)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription