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Optimized filters for image feature recognition, e.g. for surface inspection


Abstract

With these customized filter banks, error classifications with significantly higher selectivity and better detection rates can be achieved. The method can be easily integrated as software into existing systems for surface inspection.


Background

The recognition and extraction of image features, i.e. their general classification, plays a major role in digital image processing. For example, for surface inspection, images are taken of surfaces in order to identify different classes of surface defects. However, objects of the same class may occur in various sizes, which poses a challenge to the con­ventional image processing methods available. Solutions that are actually adapted to the respective image feature would considerably improve the reliability and sta­bility of these analysis methods.


Images & Videos


Problem

The dyadic and M‑channel wavelet filter banks that have been widely used cannot be optimally matched to the dif­fer­ent sizes of the image features due to their integer scal­ing. That means their use is far from satisfactory for all kinds of applications.


Solution

The filter process according to the invention was developed within the framework of a research project carried out by the University of Applied Sciences Pforzheim in coopera­tion with the Fraunhofer Institute IOSB and the Karlsruhe Institute of Technology KIT. It uses tailored "rational biorthogonal wavelet filter banks". The design is carried out in two steps: first the most suitable rational scaling factor is determined and then the filter coefficients are matched to the image characteristics. Biorthogonal filters are used to create higher degrees of freedom.
The new analysis method was tested in a series using deflectometry for the detection of defects on specular sur­faces. The method achieved a much higher degree of selectivity in defect classification than conventional meth­ods. The corresponding detection rates are also superior to those of known methods. This is illustrated by the figure showing exemplary test results. The invention concerns this method of analysis as well as its implementation into existing systems. The customized filter banks can be inte­grated into existing systems to optimize feature recogni­tion.


Advantages

  • Significantly higher detection rates and selectivity in the classification of image features
  • Filter banks and their components are specifically adapted to characteristic features
  • New software can be easily integrated into existing systems and processes

Scope of application

  • Quality control (defect detection on surfaces)
  • Digital image processing

Service

TLB GmbH manages inventions until they are marketable and offers companies opportunities for license and collab­oration agreements.


Technologie-Lizenz-Büro (TLB) der Baden-Württembergischen Hochschulen GmbH

Anne Böse
+ 49 721 790 040
boese@tlb.de
www.tlb.de
Address
Ettlinger Straße 25
76137 Karlsruhe



Development status

Prototype


Patent situation

  • EP 2977933 B1 granted
  • DE granted
  • FR granted
  • GB granted

Keywords

image processing, feature extraction, matched filter, optimized filter, optimal filter, filter length, filter design, filter bank, rational wavelets, surface inspection, quality control

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