Recognition of Different Fracture Surface Morphologies using Computer Image Processing Technique

• Komai Kenjiro

• Minoshima Kohji

• Ishii Shoich

抄録

The software which enables us to classify six typically different fracture surface morphologies, such as striations, equiaxed dimples, elongated dimples, transgranular failures, intergranular failures, and cleavage failures, has been developed based upon computer image processing and pattern recognition. The texture analyses used here are the Fourier power spectrum, generalized co-occurrence matrices, and three-dimensional fracture surface topographies. Fourier power spectrum analyses are very powerful for recognizing striations and intergranular failures, whereas a generalized co-occurrence matrix and fracture surface area ratio are suitable for cleavage failures. We also point out that the membership values based upon a soft clustering method, a fuzzy C-means algorithm, allow the system an uncertain fracture surface. This increases the precision of recognition.

収録刊行物

• JSME international journal. Ser. A, Mechanics and material engineering

  JSME international journal. Ser. A, Mechanics and material engineering 36 (2), 220-227, 1993-04-15

  一般社団法人 日本機械学会

キーワード

• Fractography
• Image Processing
• Pattern Recognition
• Fourier Power Spectrum
• Generalized Co-Occurrence Matrix
• Three-Dimensional Shape
• Soft Clustering

詳細情報

• CRID: 1390001205432558976
• NII論文ID: 110002964294
• NII書誌ID: AA10888746
• DOI: 10.1299/jsmea1993.36.2_220
• ISSN: 13408046
• Web Site: https://www.jstage.jst.go.jp/article/jsmea1993/36/2/36_2_220/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可