<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>Our aim is to discuss three approaches to the detection of defects in continuous production processes, which are based on local methods of processing image sequences. These approaches are motivated by and applicable to images of hot metals or other surfaces, which are uniform at a macroscopic level, when defects are not present. The first of them is based on the estimation of fractal dimensions of image cross-sections. The second and third approaches are compositions of known techniques, which are selected and tuned to our goal. We discuss their advantages and disadvantages, since they provide different information on defects. The results of their testing on 12 industrial images are also summarized.</p></abstract>

Our aim is to discuss three approaches to the detection of defects in continuous production processes, which are based on local methods of processing image sequences. These approaches are motivated by and applicable to images of hot metals or other surfaces, which are uniform at a macroscopic level, when defects are not present. The first of them is based on the estimation of fractal dimensions of image cross-sections. The second and third approaches are compositions of known techniques, which are selected and tuned to our goal. We discuss their advantages and disadvantages, since they provide different information on defects. The results of their testing on 12 industrial images are also summarized.

Local Detection Of Defects From Image Sequences

Institute of Computer Engineering, Control and Robotics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

International Journal of Applied Mathematics and Computer Science

{"article-title":"Local Detection Of Defects From Image Sequences"}

Our aim is to discuss three approaches to the detection of defects in continuous production processes, which are based on local methods of processing image...

Local Detection Of Defects From Image Sequences

Published Online: Dec 30, 2008

Page range: 581 - 592

DOI: https://doi.org/10.2478/v10006-008-0051-6

Keywords
image processing, fractal dimension, morphological operations

This content is open access.

Local Detection Of Defects From Image Sequences

Published Online: Dec 30, 2008

Page range: 581 - 592

DOI: https://doi.org/10.2478/v10006-008-0051-6

Keywordsimage processing, fractal dimension, morphological operations

This content is open access.

Keywords
image processing, fractal dimension, morphological operations