@article{fdi:010068195,
  title = {{I}mage analysis-based classification of pigmentation patterns in fish : a case study of pseudo-albinism in {S}enegalese sole},
  author = {{W}ishkerman, {A}. and {B}oglino, {A}. and {D}arias, {M}aria {J}ose and {A}ndree, {K}. {B}. and {E}stevez, {A}. and {G}isbert, {E}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e present new objective tools for extraction and classification of skin colour and textural features in fish using a {G}ray {L}evel {C}o-{O}ccurrence matrix ({GLCM}) method followed by data dimension reduction procedures. {T}o achieve this, we examined the skin pigmentation patterns in {S}enegalese sole, {S}olea senegalensis early juveniles showing several degrees of pigmentation patterns ranging from pseudo-albinosis to normal pigmentation. {F}our textural descriptors were chosen to extract the textural features of sole skin from the {GLCM} image (contrast, energy, homogeneity and correlation). {E}ffective classification and discrimination procedures of sole skin textural descriptors were analyzed and compared by means of {P}rincipal {C}omponent {A}nalysis ({PCA}) and {L}inear {D}iscriminant {A}nalysis ({LDA}). {R}esults indicated that {LDA} was more suitable for this task and by using it we could easily differentiate between albino and pseudo-albino soles. {T}herefore, we propose an open source classification system based on image analysis that can be used in studies on fish pigmentation patterns and defects. {T}he description of the work contained herein also suggests how this classification system, together with an appropriately designed mechanical sorting system, might be used in separating abnormal fish during aquaculture production. {S}tatement of relevance: {T}his contribution presents new tools for extraction and classification of skin colour and textural features in fish using a {G}ray {L}evel {C}o-{O}ccurrence matrix ({GLCM}) method followed by data dimension reduction procedures. {T}hese procedures are of special interest in flatfish hatcheries where pigmentary disorders are common; the use of the image analysis procedures may allow the proper identification of malpigmented fish and the assessment of their quality in terms of pigmentation patterns.},
  keywords = {{I}mage analysis ; {I}mage texture properties ; {L}inear discriminant analysis ; {P}rincipal component analysis ; {P}seudo-albinism ; {SENEGAL}},
  booktitle = {},
  journal = {{A}quaculture},
  volume = {464},
  numero = {},
  pages = {303--308},
  ISSN = {0044-8486},
  year = {2016},
  DOI = {10.1016/j.aquaculture.2016.06.040},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068195},
}