Trainable COSFIRE filters for curvilinear structure delineation in images

B-COSFIRE filters detect line at different orientations by combining the responses of DoG filters.

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Al momento, stai seguendo questo contributo

Cita come

Nicola Strisciuglio (2026). Trainable COSFIRE filters for curvilinear structure delineation in images (https://it.mathworks.com/matlabcentral/fileexchange/49172-trainable-cosfire-filters-for-curvilinear-structure-delineation-in-images), MATLAB Central File Exchange. Recuperato .

Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux
Versione Pubblicato Note della release Action
1.4.0

Added CrackDetectionCluster.m - Experimental code (and data) to replicate results in the CAIP17 paper.

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1.3.0

Examples added, which are in the paper "N. Strisciuglio, N.Petkov - Delineation of line patterns in images using B-COSFIRE filters, IWOBI 2017". Correction of the approximated computation of the shifting vectors.
update license

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1.2.0

V1.2: Visualize B-COSFIRE output response and segmented image when Application() is called without output parameters.

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1.1.0

Changelog
v1.1
1) Feature for the computation of the orientation map added.
2) B-COSFIRE filter configuration performed on a vertical-oriented
prototype pattern as described in [1]

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1.0.0

this is not a toolbox

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