Comparison of region and edge segmentation approaches to recognize fish oocytes in histological images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4142 LNCS, Issue , 2006, Pages 853-864

  Alen S ^a   Cernadas, E ^a   Formella, A ^a   Dominguez R ^b   Saborido Rey, F ^b  

^a UNIVERSITY OF VIGO   (Spain)

^b INSTITUTO DE INVESTIGACIONES MARINAS   (Spain)

Author keywords

Fecundity; Fish oocytes; Histological images; Image analysis; Segmentation

Indexed keywords

ALGORITHMS; EDGE DETECTION; FISHERIES; MICROSCOPES; POPULATION STATISTICS; STATISTICAL METHODS;

BINOCULAR MICROSCOPES; FECUNDITY; FISH OOCYTES; HISTOLOGICAL IMAGES;

IMAGE SEGMENTATION;

EID: 33749657837     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

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