Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Visual and automatic recognition of objects from few-pixel images

Not Accessible

Your library or personal account may give you access

Abstract

This paper presents the results of experiments on the automatic recognition of few-pixel images in comparison with the data of visual recognition. The automatic recognition of few-pixel images is accomplished by means of an adaptive algorithm based on a compact description of the objects of an alphabet in the form of functional dependences of the mean values of the shape attributes and their rms deviations on the size of the image of an object and by using a fuzzy deciding rule with computation of confidence measures to hypotheses concerning the relation of the object to be recognized, applied to one of the objects of the alphabet. It is shown that applying an interpolation procedure to few-pixel images significantly increases the operating efficiency of the adaptive algorithm.

PDF Article
More Like This
Generalized Hough transform for 3D object recognition and visualization in integral imaging

Ariel Fernández, Julieta Umpiérrez, and Julia R. Alonso
J. Opt. Soc. Am. A 40(4) C37-C45 (2023)

Real-time concealed-object detection and recognition with passive millimeter wave imaging

Seokwon Yeom, Dong-Su Lee, YuShin Jang, Mun-Kyo Lee, and Sang-Won Jung
Opt. Express 20(9) 9371-9381 (2012)

Three-dimensional object recognition from multiple views

R. Wu and H. Stark
J. Opt. Soc. Am. A 3(9) 1543-1557 (1986)

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 Optica member, or as an authorized user of your institution.

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

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved