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Contour Analysis/Evidence
Method evidence record

Contour Analysis

Contour analysis is the process of detecting and analyzing the boundaries of objects in images by identifying connected edges and extracting shape information. The Suzuki-Abe algorithm provides an efficient method for finding contours in binary images, enabling shape-based object classification and segmentation.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Contour Detection and Analysis
Taxonomic method record · ml-model / computer-vision
  • Suzuki, S., & Abe, K. (1985). Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing, 30(1), 32–46. · DOI 10.1016/0734-189X(85)90016-7
  • Hu, M. K. (1962). Visual pattern recognition by moment invariants. IRE Transactions on Information Theory, 8(2), 179–187. · DOI 10.1109/TIT.1962.1057692
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyBlob Detectionmachine-suggested · Relational suggestion, not evidence.Same method familyCanny Edge Detectionmachine-suggested · Relational suggestion, not evidence.Same method familyHarris Corner Detectionmachine-suggested · Relational suggestion, not evidence.Same method familyImage Morphology Operationsmachine-suggested · Relational suggestion, not evidence.Same method familyWatershed Segmentationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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