Comparison of the visual texture calculation methods by image analysis, applied to mirror and scaled carp skin

GÜMÜŞ B.

Ege Journal of Fisheries and Aquatic Sciences, cilt.38, sa.3, ss.383-391, 2021 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 3
  • Basım Tarihi: 2021
  • Doi Numarası: 10.12714/egejfas.38.3.15
  • Dergi Adı: Ege Journal of Fisheries and Aquatic Sciences
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.383-391
  • Anahtar Kelimeler: Cyprinus carpio, visual texture, histograms, co-occurrence matrices, fractals, CLASSIFICATION, FEATURES
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Regions of interest (ROI) representative of the visual texture of images of mirror carp Cyprinus carpio carpio and scaled carp Cyprinus carpio were taken. Red, green, blue and grayscale (R, G, B, GS) histograms of these ROI were calculated. The following methods of visual texture calculations were performed on the ROIs: 1) image energy based on histograms, 2) image entropy based on histograms, 3) image energy based on co-occurrence matrices, 4) image entropy based on co-occurrence matrices, 5) texture based on fractal dimensions, 6) texture based on texture primitives method. Calculations were performed for color and grayscale images. The identification of the smoothest and roughest ROIs depended on the method used. The largest range between the minimum and maximum values was found in the co-occurrence matrix-based entropy calculation. A close second was the texture change index (TCI) method.