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Optical Engineering

Automated system for detection and classification of leather defects
Author(s): Antonella Branca; Maria Tafuri; Giovanni Attolico; Arcangelo Distante
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Paper Abstract

A leather inspection system based on visual textural properties of the material surface is presented. Defects are isolated from the complex and nonhomogeneous background, analyzing their oriented structure. The patterns to be analyzed are represented in an appropriate parameter space using a neural network, in this way, a parameter vector is associated to each different textured region in the original image. Finally a filter process, based on knowledge about the parameter vectors representing the leather without defects, detects and classifies any abnormality. The resulting system is flexible and does not depend on dimensions, structure, and color of defects.

Paper Details

Date Published: 1 December 1996
PDF: 10 pages
Opt. Eng. 35(12) doi: 10.1117/1.601111
Published in: Optical Engineering Volume 35, Issue 12
Show Author Affiliations
Antonella Branca, Istituto Elaborazione Segnali ed Immagini-CNR (Italy)
Maria Tafuri, Instituto Elaborazione Segnali ed Immagini-CNR (Italy)
Giovanni Attolico, Istituto Elaborazione Segnali ed Immagini-CNR (Italy)
Arcangelo Distante, Istituto Elaborazione Segnali ed Immagini-CNR (Italy)


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